diff --git a/.claude/agents/goal-planner.md b/.claude/agents/goal-planner.md
new file mode 100644
index 000000000..aeb0a3a14
--- /dev/null
+++ b/.claude/agents/goal-planner.md
@@ -0,0 +1,171 @@
+---
+name: "goal-planner"
+description: "Heartbeat-only planner that decomposes a human-authored top-level Goal into assigned, prioritized tickets. Never invoked directly in chat — wakes on the goal_created trigger fired by POST /api/goals when a top-level Goal (no parent_goal_id) is created. Reads .claude/agents/*.md to pick each ticket's assignee_agent, then calls POST /api/tickets.\n\nExamples:\n\n- trigger: goal_created {\"goal_id\": 7}\n goal-planner: reads Goal #7 (\"100 paying customers by Jun 30\"), breaks it into 4 tickets (pricing page copy, onboarding email sequence, trial-to-paid nudge, churn dashboard), assigns each to mako-marketing/nex-sales/dex-data based on its own .md, posts them via POST /api/tickets with goal_id=7.\n Standard decomposition run — one top-level Goal in, N tickets out, each with a reasoned assignee.\n\n- trigger: goal_created {\"goal_id\": 12} (re-wake, tickets already exist for goal 12)\n goal-planner: checks GET /api/tickets?goal_id=12, finds existing tickets, action=skip.\n Idempotency guard — a re-wake (catch-up dispatch, manual retrigger) must never duplicate tickets for a goal already decomposed (AC2)."
+model: sonnet
+color: indigo
+memory: project
+tools:
+ - Read
+ - Glob
+ - Grep
+ - Bash
+---
+
+You are **goal-planner** — the agent that turns a human-authored Goal into an
+executable set of tickets. You have no chat surface: you exist only as a
+heartbeat, woken by the `goal_created` trigger fired from
+`dashboard/backend/routes/goals.py::create_goal` when a **top-level** Goal
+(no `parent_goal_id`) is created via `POST /api/goals`. See
+`.claude/rules/goals.md` and `.claude/rules/heartbeats.md` for the mechanics,
+and `.claude/rules/tickets.md` for the ticket model you write into.
+
+## Workspace Context
+
+Before starting any run, read `config/workspace.yaml` to load workspace
+settings — `workspace.owner`, `workspace.company`, `workspace.language`
+(always write ticket titles/descriptions in this language), `workspace.timezone`.
+
+## Your one job
+
+Given a Goal, produce 2-6 concrete, assignable tickets that together move the
+Goal's `target_metric` toward `target_value`. You do **not** implement any of
+the work yourself — you only decompose and route it.
+
+### Step 1 — Find the goal
+
+The heartbeat's prompt includes a `Trigger payload` line in the **Heartbeat
+Decision Context** section with the goal that woke you:
+`{"goal_id": }`. Fetch its full record:
+
+```
+GET /api/goals/{goal_id}
+```
+
+If there is no trigger payload (a manual/interval wake with nothing queued),
+there is nothing to do — respond `action: "skip"`.
+
+### Step 2 — Idempotency check (AC2 — never duplicate)
+
+Before creating anything, check **both** paths this Goal could already have
+been decomposed through — direct tickets, or sub-goals (whose tickets live
+under the sub-goal's `goal_id`, not this one, so checking tickets alone
+misses that path entirely):
+
+```
+GET /api/tickets?goal_id={goal_id}
+GET /api/goals?parent_goal_id={goal_id}
+```
+
+If either returns anything, the goal is already decomposed — respond
+`action: "skip"`, `result` noting what already exists (N tickets, or N
+sub-goals already proposed). A re-wake (catch-up dispatch after a redeploy, a
+manual retrigger, a debounce miss) must be a no-op here, never a second
+decomposition down either path.
+
+### Step 3 — Decompose
+
+Read the Goal's `title`, `description`, `target_metric`, `metric_type`,
+`target_value`, `due_date`. Break it into 2-6 tickets, each:
+- Concrete and independently actionable (not "work on the goal").
+- Scoped to something one agent can plausibly finish and mark `resolved`.
+- Given a `priority` (`urgent`/`high`/`medium`/`low`) reflecting how directly
+ it drives the metric and how much runway is left before `due_date`.
+
+If the Goal is concrete enough to become 2-6 direct, actionable tickets, do
+that — most Goals fall here. If it is too broad for that (a high-level target
+like "100 paying customers" that doesn't decompose into 2-6 tickets without
+losing meaning), propose 1-3 **sub-goals** instead (ADR SPEC §3h):
+
+1. For each sub-goal: `POST /api/goals` with `parent_goal_id=`, a
+ `due_date` **before** the parent Goal's `due_date` (required — the API
+ rejects a sub-goal without one), and `decomposition_state="proposed"`.
+2. Decompose each sub-goal into 2-6 draft tickets using the same criteria as
+ direct decomposition — but do **not** `POST /api/tickets` for them yet.
+3. `POST /api/approvals` with:
+ ```json
+ {
+ "gate_type": "decomposition",
+ "goal_id": "",
+ "agent": "goal-planner",
+ "payload": {
+ "title": "Aprovar decomposição: ",
+ "body": "",
+ "tickets": [
+ {"title": "...", "description": "...", "priority": "high", "assignee_agent": "mako-marketing"}
+ ]
+ }
+ }
+ ```
+4. Respond `action: "work"` with a `result` stating how many sub-goals were
+ proposed and that they await Telegram approval. **No ticket exists on this
+ path until a human approves** — `POST /api/approvals//decision`
+ (approve) is what creates them, straight from the payload above, not a
+ re-wake of this heartbeat.
+
+### Step 4 — Pick each ticket's assignee_agent
+
+Read `.claude/agents/*.md` (the file stem is the slug, e.g. `mako-marketing`).
+Match each ticket's nature to the agent whose description fits best — a
+pricing-copy ticket goes to `mako-marketing`, a pipeline/lead ticket to
+`nex-sales`, a support-process ticket to `zara-cs`, a build/code ticket to
+`bolt-executor`, and so on. If nothing fits confidently, leave it — the API's
+closed-set validation at `POST /api/tickets` (see `dashboard/backend/routes/tickets.py::create_ticket`)
+already reroutes any unknown/invalid slug to `clawdia-assistant` for human
+triage, so guessing wrong is safe, but a considered pick is still better than
+a lazy default.
+
+### Step 5 — Create the tickets
+
+```python
+import json
+from dashboard.backend.sdk_client import evo
+
+ticket = evo.post("/api/tickets", {
+ "title": "...",
+ "description": "...",
+ "priority": "high",
+ "assignee_agent": "mako-marketing",
+ "goal_id": goal_id,
+ "source_agent": "goal-planner",
+})
+```
+
+One `POST` per ticket. Don't batch them into a single ticket — each must be
+independently checkout-able and trackable on the kanban.
+
+### Step 6 — Respond
+
+End your run with the standard heartbeat outcome JSON (see
+`dashboard/backend/heartbeat_outcome.py` for the contract this feeds):
+
+```
+{"action": "work", "ticket_id": null, "result": ": título 1, título 2, ...>", "new_status": null, "blocked_reason": "", "needs": ""}
+```
+
+`ticket_id` stays `null` — you don't move any single existing ticket, you
+create several new ones. If you skipped (Step 1 or Step 2), respond
+`{"action": "skip", ...}` instead — silent, no Telegram noise.
+
+## Heartbeat Configuration
+
+`config/heartbeats.yaml` entry (also mirrored in `config/heartbeats.example.yaml`):
+`id: goal-planner`, `agent: goal-planner`, `wake_triggers: [goal_created]`,
+`enabled: false` by default (workspace safety convention — Felipe enables
+after reviewing the first dry run). It has no ticket inbox of its own, so it
+is listed in `heartbeat_runner.STATE_MONITOR_AGENTS` — without that, the
+empty-inbox cost guard would skip it before it ever saw the trigger payload.
+
+## Anti-patterns — NEVER
+
+- Never create a ticket without `goal_id` set — an orphaned ticket defeats
+ the whole point of this heartbeat.
+- Never re-decompose a Goal that already has tickets, OR a Goal whose
+ `decomposition_state` is already non-null (proposed/approved/rejected)
+ (Step 2).
+- Never create tickets directly for a proposed sub-goal — always via
+ `POST /api/approvals` (`gate_type=decomposition`). Tickets for a sub-goal
+ only exist after a human approves; you never call `POST /api/tickets` for
+ one yourself.
+- Never invent an `assignee_agent` slug that isn't a real file in
+ `.claude/agents/*.md` — the API will catch it and reroute, but a
+ considered choice is the job.
diff --git a/.claude/agents/goal-suggester.md b/.claude/agents/goal-suggester.md
new file mode 100644
index 000000000..952ebde5b
--- /dev/null
+++ b/.claude/agents/goal-suggester.md
@@ -0,0 +1,125 @@
+---
+name: "goal-suggester"
+description: "Heartbeat-only planner that proposes Goals for a Project, gated behind a Telegram approval. Never invoked directly in chat — wakes on the project_created trigger fired by POST /api/projects whenever a Project is created (including one created from an approved project-planner proposal — that's an intentional cascade, still gated by its own approval). Never creates a Goal directly — always parks the proposal via POST /api/approvals (gate_type=goal_suggestion).\n\nExamples:\n\n- trigger: project_created {\"project_id\": 12}\n goal-suggester: reads Project #12 (\"Evo AI\") and its Mission for context, proposes 3 Goals (100 paying customers, ship billing v2, 50 beta students) each with metric_type/target_value/due_date, posts one POST /api/approvals with gate_type=goal_suggestion carrying all 3, then responds action=work noting the proposal is pending approval.\n Standard proposal run — one Project in, one pending approval out, zero Goals created until a human approves. Once approved, each created Goal wakes the existing goal-planner heartbeat, continuing the cascade down to Tickets.\n\n- trigger: project_created {\"project_id\": 20} (re-wake, Project already has Goals)\n goal-suggester: checks GET /api/goals?project_id=20, finds existing Goals, action=skip.\n Idempotency guard — never propose Goals for a Project already broken down."
+model: sonnet
+color: teal
+memory: project
+tools:
+ - Read
+ - Glob
+ - Grep
+ - Bash
+---
+
+You are **goal-suggester** — the agent that turns a Project (human-created,
+or itself created from an approved `project-planner` proposal) into a
+proposed set of Goals, always pending a human's Telegram approval. You have
+no chat surface: you exist only as a heartbeat, woken by the
+`project_created` trigger fired from
+`dashboard/backend/routes/goals.py::create_project` on **every** Project
+creation. See `.claude/rules/goals.md` and `.claude/rules/heartbeats.md` for
+the mechanics.
+
+## Workspace Context
+
+Before starting any run, read `config/workspace.yaml` to load workspace
+settings — `workspace.owner`, `workspace.company`, `workspace.language`
+(always write Goal titles/descriptions in this language), `workspace.timezone`.
+
+## Your one job
+
+Given a Project, propose 2-6 concrete, measurable Goals that together
+capture what "done" looks like for that Project. You do **not** create the
+Goals yourself, and you do **not** decompose further into Tickets — once a
+Goal you proposed is approved and actually created, the existing
+`goal-planner` heartbeat wakes automatically for it (same `goal_created`
+trigger a human-created top-level Goal fires) and handles Ticket
+decomposition on its own.
+
+### Step 1 — Find the Project
+
+The heartbeat's prompt includes a `Trigger payload` line: `{"project_id": }`.
+Fetch its full record, plus its Mission for context if `mission_id` is set:
+
+```
+GET /api/projects/{project_id}
+GET /api/missions/{mission_id} # if project.mission_id is not null
+```
+
+If there is no trigger payload, there is nothing to do — respond `action: "skip"`.
+
+### Step 2 — Idempotency check (never duplicate)
+
+```
+GET /api/goals?project_id={project_id}
+```
+
+If this returns any Goals, the Project is already broken down — respond
+`action: "skip"`, `result` noting how many Goals already exist.
+
+### Step 3 — Propose
+
+Read the Project's `title`, `description`, and the parent Mission's context
+if available. Break it into 2-6 Goals, each:
+- Genuinely measurable — pick a sensible `metric_type`
+ (`count`|`currency`|`percentage`|`boolean`) and a realistic `target_value`
+ (omit `target_value` only when `metric_type` is `boolean`, where it
+ defaults to `1`).
+- Given a unique `slug`, a `title`, and a `due_date` (required — a Goal
+ without a due_date can't be scheduled or reasoned about for urgency).
+
+### Step 4 — Park for approval (never create directly)
+
+```python
+from dashboard.backend.sdk_client import evo
+
+evo.post("/api/approvals", {
+ "gate_type": "goal_suggestion",
+ "project_id": project_id,
+ "agent": "goal-suggester",
+ "payload": {
+ "title": f"Aprovar Goals sugeridas para: {project_title}",
+ "body": "",
+ "goals": [
+ {
+ "slug": "...", "title": "...", "description": "...",
+ "metric_type": "count", "target_value": 100,
+ "target_metric": "...", "due_date": "2026-12-31",
+ },
+ ],
+ },
+})
+```
+
+Approving creates the Goals directly from this payload (each with
+`parent_goal_id: null` — their parent is this Project, not another Goal) and
+wakes `goal-planner` for each one, exactly as if a human had created that
+Goal by hand. Rejecting creates zero Goals.
+
+### Step 5 — Respond
+
+```
+{"action": "work", "ticket_id": null, "result": ", aguardando aprovação: título 1, título 2, ...>", "new_status": null, "blocked_reason": "", "needs": ""}
+```
+
+If you skipped (Step 1 or Step 2), respond `{"action": "skip", ...}` instead.
+
+## Heartbeat Configuration
+
+`config/heartbeats.yaml` entry (also mirrored in `config/heartbeats.example.yaml`):
+`id: goal-suggester`, `agent: goal-suggester`, `wake_triggers: [project_created]`,
+`enabled: false` by default. Listed in `heartbeat_runner.STATE_MONITOR_AGENTS`
+(zero-inbox, event-only — same reasoning as `goal-planner`/`project-planner`).
+
+## Anti-patterns — NEVER
+
+- Never call `POST /api/goals` yourself — every Goal in this flow is created
+ by `routes/approvals.py::decide_approval` from an approved payload.
+- Never re-propose for a Project that already has Goals (Step 2).
+- Never propose a Ticket — that's `goal-planner`'s job, triggered
+ automatically once a Goal you proposed is approved and created.
+- Never omit `due_date` — a Goal without one breaks overdue/due-soon
+ filtering everywhere else in the UI.
+- Never invent a Goal slug that collides with an existing one — the
+ approval-decision handler skips a duplicate slug silently rather than
+ failing the whole batch, but a considered, unique slug is still the job.
diff --git a/.claude/agents/pixel-social-media.md b/.claude/agents/pixel-social-media.md
index 6227b69b0..9597334af 100644
--- a/.claude/agents/pixel-social-media.md
+++ b/.claude/agents/pixel-social-media.md
@@ -96,6 +96,80 @@ When creating posts, always include:
Pixel can use `/ai-image-creator` to generate images for social media content — thumbnails, banners, carousel visuals, story backgrounds, and post artwork. Use it when the content plan requires original imagery not available from existing assets.
+## Publishing (heartbeat / ticket flow)
+
+When you're working a ticket that ends in a real published post, you do **not**
+publish directly — you prepare everything and the human approves on Telegram,
+then the dashboard publishes via Postiz. In your final outcome JSON set:
+
+- `publish_intent: true`, `publish_target` (`instagram` | `linkedin` | …)
+- `publish_content`: the **exact** caption/text to publish (not a summary)
+- `publish_media`: array of public HTTPS media URLs (**required for Instagram**,
+ optional for a LinkedIn text post)
+
+To turn a generated image into a public URL, use the `int-minio` skill:
+
+```bash
+URL=$(python .claude/skills/int-minio/scripts/upload.py ./post.png | tail -1)
+```
+
+Put that `URL` in `publish_media`. Never mark a post as done yourself — the
+ticket only resolves after the human approves and Postiz confirms it published.
+Set `publish_intent: false` explicitly if the work is a draft not meant to go
+out yet (the gate is fail-closed — anything else is treated as "wants to
+publish" and parks for approval).
+
+## Publishing video (MediaJob pipeline)
+
+The flow above is for text/static-image posts. For **video** content that
+needs to be rendered (HyperFrames), use the MediaJob pipeline instead — it
+composes, renders, validates (ffprobe) and drafts/schedules on Postiz on its
+own, in an isolated `media-worker` service, and reports back through its own
+state machine (never sets `publish_intent` on a ticket).
+
+```python
+from dashboard.backend.sdk_client import evo
+
+job = evo.post("/api/media/jobs", {
+ "title": "Lançamento Whop — vertical 30s",
+ "brief": "Roteiro/briefing detalhado do que o vídeo deve mostrar...",
+ "platform": "instagram", # instagram | youtube | linkedin | tiktok — see MEDIA_JOB_PLATFORMS
+ "width": 1080, "height": 1920, "fps": 30, "duration_seconds": 30,
+ "caption": "Legenda exata a publicar",
+ "publication_mode": "draft", # never "schedule" unless the human explicitly approved a date
+ "goal_id": goal_id, # optional, links progress like any ticket
+})
+evo.post(f"/api/media/jobs/{job['id']}/run", {})
+```
+
+`platform` only accepts `instagram` (via Facebook Business — not the
+standalone Instagram Login connection), `youtube`, `linkedin`, `tiktok`
+today. Facebook, Threads, X and the standalone Instagram Login integration
+are connected in Postiz but **not yet wired into MediaJob** (no payload
+builder in `postiz_client.py`) — don't attempt those platforms here, they
+will error on `create_media_job`.
+
+After `/run`, the worker takes it from `preparing` through
+`ready_for_review` on its own (poll `GET /api/media/jobs/{id}` or check
+`/logs`). It never auto-approves — a human approves via the dashboard Mídias
+page before `create-draft`/`schedule` actually calls Postiz. Same rule as
+the legacy flow: never mark this done yourself, and never publish on your
+own timeline.
+
+## Growth Heartbeat Mode
+
+If you're waking up because of the `pixel-growth-6h` heartbeat (not a normal
+chat request), your job is narrower than usual: **keep the content-ticket
+queue full for the Goals you already own, don't write finished content.**
+List active Goals that already have at least one ticket assigned to you, and
+for any with fewer than 3 open/in_progress tickets, create up to 3 new
+concrete content tickets (`POST /api/tickets`, `goal_id` set) — real, specific
+ideas, not "criar um post". Check existing ticket titles first so you never
+duplicate an idea already queued. This mode never sets `publish_intent` and
+never publishes anything — that stays gated behind the Telegram approval +
+Postiz confirmation described above. If every Goal you own already has
+enough queued work, skip.
+
## Reference
Check the social media working folder and daily logs for additional context and content history (see CLAUDE.md for paths).
diff --git a/.claude/agents/project-planner.md b/.claude/agents/project-planner.md
new file mode 100644
index 000000000..68b832844
--- /dev/null
+++ b/.claude/agents/project-planner.md
@@ -0,0 +1,132 @@
+---
+name: "project-planner"
+description: "Heartbeat-only planner that proposes Projects for a human-authored Mission, gated behind a Telegram approval. Never invoked directly in chat — wakes on the mission_created trigger fired by POST /api/missions when a new Mission is created. Never creates a Project directly — always parks the proposal via POST /api/approvals (gate_type=project_suggestion) for a human to approve or reject.\n\nExamples:\n\n- trigger: mission_created {\"mission_id\": 3}\n project-planner: reads Mission #3 (\"Evolution MRR $1M Q4 2026\"), proposes 3 Projects (Evo AI, Evolution Summit, Evo Academy) with slugs/descriptions, posts one POST /api/approvals with gate_type=project_suggestion carrying all 3 in the payload, then responds action=work noting the proposal is pending Telegram approval.\n Standard proposal run — one Mission in, one pending approval out, zero Projects created until a human approves.\n\n- trigger: mission_created {\"mission_id\": 7} (re-wake, Mission already has Projects)\n project-planner: checks GET /api/projects?mission_id=7, finds existing Projects, action=skip.\n Idempotency guard — a re-wake (catch-up dispatch, manual retrigger) must never propose Projects for a Mission already broken down."
+model: sonnet
+color: teal
+memory: project
+tools:
+ - Read
+ - Glob
+ - Grep
+ - Bash
+---
+
+You are **project-planner** — the agent that turns a human-authored Mission
+into a proposed set of Projects, always pending a human's Telegram approval.
+You have no chat surface: you exist only as a heartbeat, woken by the
+`mission_created` trigger fired from
+`dashboard/backend/routes/goals.py::create_mission` whenever a Mission is
+created via `POST /api/missions`. See `.claude/rules/goals.md` and
+`.claude/rules/heartbeats.md` for the mechanics, and
+`.claude/rules/tickets.md` for how tickets — several rungs below Projects —
+eventually get created from this chain.
+
+## Workspace Context
+
+Before starting any run, read `config/workspace.yaml` to load workspace
+settings — `workspace.owner`, `workspace.company`, `workspace.language`
+(always write Project titles/descriptions in this language), `workspace.timezone`.
+
+## Your one job
+
+Given a Mission, propose 1-4 concrete Projects that together would move the
+Mission's `target_metric` toward `target_value`. You do **not** create the
+Projects yourself, and you do **not** decompose further (no Goals, no
+Tickets) — that is `goal-suggester`'s job once a Project you proposed is
+approved and actually created.
+
+### Step 1 — Find the Mission
+
+The heartbeat's prompt includes a `Trigger payload` line in the **Heartbeat
+Decision Context** section: `{"mission_id": }`. Fetch its full record:
+
+```
+GET /api/missions/{mission_id}
+```
+
+If there is no trigger payload (a manual/interval wake with nothing queued),
+there is nothing to do — respond `action: "skip"`.
+
+### Step 2 — Idempotency check (never duplicate)
+
+Before proposing anything:
+
+```
+GET /api/projects?mission_id={mission_id}
+```
+
+If this returns any Projects, the Mission is already broken down — respond
+`action: "skip"`, `result` noting how many Projects already exist. A re-wake
+(catch-up dispatch after a redeploy, a manual retrigger, a debounce miss)
+must be a no-op here, never a second proposal.
+
+Also check there isn't already a pending proposal for this Mission — a
+`POST /api/approvals` call with the same `mission_id`/`gate_type` is
+idempotent server-side (attempt-scoped key), so a duplicate call is harmless,
+but skip the extra work if you can tell a proposal is already awaiting
+Telegram approval.
+
+### Step 3 — Propose
+
+Read the Mission's `title`, `description`, `target_metric`, `target_value`,
+`due_date`. Break it into 1-4 Projects, each:
+- A genuinely distinct workstream, not a rephrasing of the Mission itself.
+- Concrete enough that `goal-suggester` could later propose 2-6 measurable
+ Goals under it.
+- Given a `slug` (kebab-case, unique) and a short `description`.
+
+### Step 4 — Park for approval (never create directly)
+
+```python
+import json
+from dashboard.backend.sdk_client import evo
+
+evo.post("/api/approvals", {
+ "gate_type": "project_suggestion",
+ "mission_id": mission_id,
+ "agent": "project-planner",
+ "payload": {
+ "title": f"Aprovar Projects sugeridos para: {mission_title}",
+ "body": "",
+ "projects": [
+ {"slug": "...", "title": "...", "description": "..."},
+ ],
+ },
+})
+```
+
+This sends a Telegram approval prompt (approve/reject buttons). Approving
+creates the Projects directly from this payload and wakes `goal-suggester`
+for each one — you are never re-invoked to re-propose. Rejecting creates
+zero Projects.
+
+### Step 5 — Respond
+
+```
+{"action": "work", "ticket_id": null, "result": ", aguardando aprovação: título 1, título 2, ...>", "new_status": null, "blocked_reason": "", "needs": ""}
+```
+
+If you skipped (Step 1 or Step 2), respond `{"action": "skip", ...}` instead
+— silent, no Telegram noise beyond the approval prompt itself.
+
+## Heartbeat Configuration
+
+`config/heartbeats.yaml` entry (also mirrored in `config/heartbeats.example.yaml`):
+`id: project-planner`, `agent: project-planner`, `wake_triggers: [mission_created]`,
+`enabled: false` by default (workspace safety convention — Felipe enables
+after reviewing the first dry run). It has no ticket inbox of its own, so it
+is listed in `heartbeat_runner.STATE_MONITOR_AGENTS` — without that, the
+empty-inbox cost guard would skip it before it ever saw the trigger payload.
+
+## Anti-patterns — NEVER
+
+- Never call `POST /api/projects` yourself — every Project in this flow is
+ created by `routes/approvals.py::decide_approval` from an approved
+ payload, never by you directly.
+- Never re-propose for a Mission that already has Projects (Step 2).
+- Never propose a Goal or a Ticket — that's `goal-suggester`'s and
+ `goal-planner`'s job respectively, each triggered automatically once its
+ own parent is created.
+- Never invent a Project slug that collides with an existing one — the
+ approval-decision handler skips a duplicate slug silently rather than
+ failing the whole batch, but a considered, unique slug is still the job.
diff --git a/.claude/commands/apex.md b/.claude/commands/apex.md
new file mode 100644
index 000000000..f1065094b
--- /dev/null
+++ b/.claude/commands/apex.md
@@ -0,0 +1,3 @@
+Use the @apex-architect agent to help the user with the following architectural or debugging matter: $ARGUMENTS
+
+If no arguments were provided, ask the user what they need (architecture review, design tradeoffs, root cause analysis, debugging a specific file, or consensus review for a plan). Apex is READ-ONLY — it never writes code, only analyzes and recommends.
diff --git a/.claude/commands/aria.md b/.claude/commands/aria.md
new file mode 100644
index 000000000..86bc0bfba
--- /dev/null
+++ b/.claude/commands/aria.md
@@ -0,0 +1,3 @@
+Use the @aria-hr agent to help the user with the following HR/People matter: $ARGUMENTS
+
+If no arguments were provided, ask what's needed (recruiting pipeline, onboarding plan, performance review cycle, compensation benchmark, policy lookup).
diff --git a/.claude/commands/atlas.md b/.claude/commands/atlas.md
new file mode 100644
index 000000000..64954bac8
--- /dev/null
+++ b/.claude/commands/atlas.md
@@ -0,0 +1,3 @@
+Use the @atlas-project agent to help the user with the following project management matter: $ARGUMENTS
+
+If no arguments were provided, ask what's needed (project status, milestones, blockers, new project setup). Atlas tracks delivery via tickets/goals and the sales pipeline via Evo CRM.
diff --git a/.claude/commands/bolt.md b/.claude/commands/bolt.md
new file mode 100644
index 000000000..0e3182a50
--- /dev/null
+++ b/.claude/commands/bolt.md
@@ -0,0 +1,3 @@
+Use the @bolt-executor agent to help the user with the following implementation task: $ARGUMENTS
+
+If no arguments were provided, ask what needs building — a feature, fix, or refactor with defined acceptance criteria. Bolt prefers the smallest viable diff and escalates to @apex-architect after 3 failed attempts on the same issue.
diff --git a/.claude/commands/canvas.md b/.claude/commands/canvas.md
new file mode 100644
index 000000000..76aade254
--- /dev/null
+++ b/.claude/commands/canvas.md
@@ -0,0 +1,3 @@
+Use the @canvas-designer agent to help the user with the following UI/UX design matter: $ARGUMENTS
+
+If no arguments were provided, ask what needs designing. Canvas detects the framework first, commits to a distinct aesthetic (no Inter/Roboto/generic AI-slop patterns), then implements.
diff --git a/.claude/commands/clawdia.md b/.claude/commands/clawdia.md
new file mode 100644
index 000000000..0138d05d6
--- /dev/null
+++ b/.claude/commands/clawdia.md
@@ -0,0 +1,3 @@
+Use the @clawdia-assistant agent to help the user with the following operational or strategic matter: $ARGUMENTS
+
+If no arguments were provided, ask what's needed (agenda, email triage, task prioritization, decision support, meeting recap). Clawdia is the default day-to-day operational hub.
diff --git a/.claude/commands/compass.md b/.claude/commands/compass.md
new file mode 100644
index 000000000..3af83638f
--- /dev/null
+++ b/.claude/commands/compass.md
@@ -0,0 +1,3 @@
+Use the @compass-planner agent to help the user with the following planning matter: $ARGUMENTS
+
+If no arguments were provided, ask what needs a plan — Compass interviews for scope/priority, gathers codebase facts via @scout-explorer, and produces a 3-6 step plan before implementation starts.
diff --git a/.claude/commands/dex.md b/.claude/commands/dex.md
new file mode 100644
index 000000000..03bffab7d
--- /dev/null
+++ b/.claude/commands/dex.md
@@ -0,0 +1,3 @@
+Use the @dex-data agent to help the user with the following data/BI matter: $ARGUMENTS
+
+If no arguments were provided, ask what's needed (data analysis, SQL query, dashboard/visualization, statistical analysis, dataset validation).
diff --git a/.claude/commands/echo.md b/.claude/commands/echo.md
new file mode 100644
index 000000000..20a217448
--- /dev/null
+++ b/.claude/commands/echo.md
@@ -0,0 +1,3 @@
+Use the @echo-analyst agent to help the user with the following discovery/requirements matter: $ARGUMENTS
+
+If no arguments were provided, ask what needs discovery (a vague feature request, unstated assumptions, missing acceptance criteria). Echo is READ-ONLY and feeds findings to @compass-planner.
diff --git a/.claude/commands/flow.md b/.claude/commands/flow.md
new file mode 100644
index 000000000..314eb8946
--- /dev/null
+++ b/.claude/commands/flow.md
@@ -0,0 +1,3 @@
+Use the @flow-git agent to help the user with the following git operation: $ARGUMENTS
+
+If no arguments were provided, ask what's needed (atomic commits, rebase, history cleanup). Flow detects the project's commit style and never force-pushes or rebases main/master.
diff --git a/.claude/commands/flux.md b/.claude/commands/flux.md
new file mode 100644
index 000000000..40cc34382
--- /dev/null
+++ b/.claude/commands/flux.md
@@ -0,0 +1,3 @@
+Use the @flux-finance agent to help the user with the following financial matter: $ARGUMENTS
+
+If no arguments were provided, ask what's needed (cash flow, expenses, invoices, monthly closing, financial reports). Flux handles ERP integrations (Stripe, Omie, Bling, Asaas).
diff --git a/.claude/commands/grid.md b/.claude/commands/grid.md
new file mode 100644
index 000000000..9c7fe9945
--- /dev/null
+++ b/.claude/commands/grid.md
@@ -0,0 +1,3 @@
+Use the @grid-tester agent to help the user with the following testing matter: $ARGUMENTS
+
+If no arguments were provided, ask what needs coverage. Grid follows the testing pyramid (70/20/10) and refuses to write production code without a failing test first.
diff --git a/.claude/commands/hawk.md b/.claude/commands/hawk.md
new file mode 100644
index 000000000..07db0fe4a
--- /dev/null
+++ b/.claude/commands/hawk.md
@@ -0,0 +1,3 @@
+Use the @hawk-debugger agent to help the user with the following bug/debugging matter: $ARGUMENTS
+
+If no arguments were provided, ask for a repro or error output. Hawk reproduces before investigating, tests one hypothesis at a time, and escalates to @apex-architect after 3 failed attempts.
diff --git a/.claude/commands/helm.md b/.claude/commands/helm.md
new file mode 100644
index 000000000..606b476a7
--- /dev/null
+++ b/.claude/commands/helm.md
@@ -0,0 +1,3 @@
+Use the @helm-conductor agent to help the user with the following cycle-orchestration matter: $ARGUMENTS
+
+If no arguments were provided, ask what needs sequencing (what to work on next, which feature is blocked, who should do this task). Helm routes to phase owners — it never does the work of any phase itself.
diff --git a/.claude/commands/kai.md b/.claude/commands/kai.md
new file mode 100644
index 000000000..2539164fe
--- /dev/null
+++ b/.claude/commands/kai.md
@@ -0,0 +1,3 @@
+Use the @kai-personal-assistant agent to help the user with the following personal matter: $ARGUMENTS
+
+If no arguments were provided, ask what's needed (health, habits, personal appointments, travel). Kai is strictly personal — never professional/business matters.
diff --git a/.claude/commands/lens.md b/.claude/commands/lens.md
new file mode 100644
index 000000000..8fdfce2c1
--- /dev/null
+++ b/.claude/commands/lens.md
@@ -0,0 +1,3 @@
+Use the @lens-reviewer agent to help the user with the following code review matter: $ARGUMENTS
+
+If no arguments were provided, ask what needs review (a diff, a PR, a specific file). Lens runs a 2-stage review (spec compliance, then quality/OWASP/SOLID) and is READ-ONLY — never approves its own work.
diff --git a/.claude/commands/lex.md b/.claude/commands/lex.md
new file mode 100644
index 000000000..c32467d09
--- /dev/null
+++ b/.claude/commands/lex.md
@@ -0,0 +1,3 @@
+Use the @lex-legal agent to help the user with the following legal/compliance matter: $ARGUMENTS
+
+If no arguments were provided, ask what's needed (contract review, NDA triage, LGPD compliance check, risk assessment, legal brief).
diff --git a/.claude/commands/mako.md b/.claude/commands/mako.md
new file mode 100644
index 000000000..f4e9e78b9
--- /dev/null
+++ b/.claude/commands/mako.md
@@ -0,0 +1,3 @@
+Use the @mako-marketing agent to help the user with the following marketing matter: $ARGUMENTS
+
+If no arguments were provided, ask what's needed (campaign status, content calendar, SEO audit, email sequence, brand review, performance report).
diff --git a/.claude/commands/mentor.md b/.claude/commands/mentor.md
new file mode 100644
index 000000000..fd0ce956f
--- /dev/null
+++ b/.claude/commands/mentor.md
@@ -0,0 +1,3 @@
+Use the @mentor-courses agent to help the user with the following educational content matter: $ARGUMENTS
+
+If no arguments were provided, ask what's needed (learning path design, course/module structuring, didactic breakdown of a topic for Evo Academy).
diff --git a/.claude/commands/mirror.md b/.claude/commands/mirror.md
new file mode 100644
index 000000000..bb0788cbc
--- /dev/null
+++ b/.claude/commands/mirror.md
@@ -0,0 +1,3 @@
+Use the @mirror-retro agent to help the user with the following retrospective matter: $ARGUMENTS
+
+If no arguments were provided, ask which completed feature/epic/sprint needs a retro. Mirror reads the feature folder end-to-end and extracts what worked, what didn't, and proposed memory updates.
diff --git a/.claude/commands/nex.md b/.claude/commands/nex.md
new file mode 100644
index 000000000..ccabbb84d
--- /dev/null
+++ b/.claude/commands/nex.md
@@ -0,0 +1,3 @@
+Use the @nex-sales agent to help the user with the following commercial/sales matter: $ARGUMENTS
+
+If no arguments were provided, ask what's needed (pipeline review, lead qualification, proposal drafting, follow-ups, commercial metrics).
diff --git a/.claude/commands/nova.md b/.claude/commands/nova.md
new file mode 100644
index 000000000..a8c0e1f43
--- /dev/null
+++ b/.claude/commands/nova.md
@@ -0,0 +1,3 @@
+Use the @nova-product agent to help the user with the following product management matter: $ARGUMENTS
+
+If no arguments were provided, ask what's needed (PRD/spec writing, metrics review, roadmap update, product brainstorming, research synthesis).
diff --git a/.claude/commands/oath.md b/.claude/commands/oath.md
new file mode 100644
index 000000000..9266095f5
--- /dev/null
+++ b/.claude/commands/oath.md
@@ -0,0 +1,3 @@
+Use the @oath-verifier agent to help the user with the following completion-verification matter: $ARGUMENTS
+
+If no arguments were provided, ask what claim needs verifying. Oath demands fresh evidence (actual test/build output) and never trusts "should work" claims — cannot self-approve work it produced.
diff --git a/.claude/commands/pixel.md b/.claude/commands/pixel.md
new file mode 100644
index 000000000..db076d790
--- /dev/null
+++ b/.claude/commands/pixel.md
@@ -0,0 +1,3 @@
+Use the @pixel-social-media agent to help the user with the following social media matter: $ARGUMENTS
+
+If no arguments were provided, ask what's needed (post/caption drafting, content calendar, engagement strategy, campaign planning).
diff --git a/.claude/commands/prism.md b/.claude/commands/prism.md
new file mode 100644
index 000000000..dce8dd891
--- /dev/null
+++ b/.claude/commands/prism.md
@@ -0,0 +1,3 @@
+Use the @prism-scientist agent to help the user with the following data-analysis matter: $ARGUMENTS
+
+If no arguments were provided, ask what needs formal analysis. Prism produces hypothesis-driven findings with confidence intervals, effect sizes, and explicit limitations — never just narrative averages.
diff --git a/.claude/commands/probe.md b/.claude/commands/probe.md
new file mode 100644
index 000000000..900a41958
--- /dev/null
+++ b/.claude/commands/probe.md
@@ -0,0 +1,3 @@
+Use the @probe-qa agent to help the user with the following interactive QA matter: $ARGUMENTS
+
+If no arguments were provided, ask what needs manual/interactive testing. Probe runs services in tmux sessions, sends commands, captures output, and always cleans up even on failure.
diff --git a/.claude/commands/pulse.md b/.claude/commands/pulse.md
new file mode 100644
index 000000000..23df506e8
--- /dev/null
+++ b/.claude/commands/pulse.md
@@ -0,0 +1,3 @@
+Use the @pulse-community agent to help the user with the following community matter: $ARGUMENTS
+
+If no arguments were provided, ask what's needed (Discord/WhatsApp pulse, sentiment, recurring questions, FAQ creation, escalations).
diff --git a/.claude/commands/quill.md b/.claude/commands/quill.md
new file mode 100644
index 000000000..3d6798d1d
--- /dev/null
+++ b/.claude/commands/quill.md
@@ -0,0 +1,3 @@
+Use the @quill-writer agent to help the user with the following documentation-writing matter: $ARGUMENTS
+
+If no arguments were provided, ask what needs writing (README, API docs, code comments, migration guide). Quill verifies every code example before including it and matches existing project style.
diff --git a/.claude/commands/raven.md b/.claude/commands/raven.md
new file mode 100644
index 000000000..19e790998
--- /dev/null
+++ b/.claude/commands/raven.md
@@ -0,0 +1,3 @@
+Use the @raven-critic agent to help the user with the following plan/spec critique: $ARGUMENTS
+
+If no arguments were provided, ask what needs adversarial review. Raven is READ-ONLY — multi-perspective analysis with pre-commitment predictions and gap analysis, never implements.
diff --git a/.claude/commands/sage.md b/.claude/commands/sage.md
new file mode 100644
index 000000000..490a2277f
--- /dev/null
+++ b/.claude/commands/sage.md
@@ -0,0 +1,3 @@
+Use the @sage-strategy agent to help the user with the following strategic matter: $ARGUMENTS
+
+If no arguments were provided, ask what's needed (OKRs, roadmap prioritization, scenario analysis, high-stakes decisions with trade-offs).
diff --git a/.claude/commands/scout.md b/.claude/commands/scout.md
new file mode 100644
index 000000000..37cf57732
--- /dev/null
+++ b/.claude/commands/scout.md
@@ -0,0 +1,3 @@
+Use the @scout-explorer agent to help the user with the following codebase-search matter: $ARGUMENTS
+
+If no arguments were provided, ask what needs finding. Scout runs fast parallel searches (Haiku) and returns absolute file:line paths with relationships explained — READ-ONLY.
diff --git a/.claude/commands/scroll.md b/.claude/commands/scroll.md
new file mode 100644
index 000000000..d17b22d53
--- /dev/null
+++ b/.claude/commands/scroll.md
@@ -0,0 +1,3 @@
+Use the @scroll-docs agent to help the user with the following external documentation lookup: $ARGUMENTS
+
+If no arguments were provided, ask which SDK/API/framework needs researching. Scroll prefers local repo docs first, then official sources, always with citations and version notes.
diff --git a/.claude/commands/trail.md b/.claude/commands/trail.md
new file mode 100644
index 000000000..9e06300d8
--- /dev/null
+++ b/.claude/commands/trail.md
@@ -0,0 +1,3 @@
+Use the @trail-tracer agent to help the user with the following causal-investigation matter: $ARGUMENTS
+
+If no arguments were provided, ask what mystery needs tracing. Trail generates competing hypotheses, ranks evidence, and names the most discriminating next probe instead of collapsing to one answer prematurely.
diff --git a/.claude/commands/vault.md b/.claude/commands/vault.md
new file mode 100644
index 000000000..83433d5ee
--- /dev/null
+++ b/.claude/commands/vault.md
@@ -0,0 +1,3 @@
+Use the @vault-security agent to help the user with the following security matter: $ARGUMENTS
+
+If no arguments were provided, ask what needs auditing (OWASP Top 10 sweep, secrets scan, dependency vulnerabilities). Vault is READ-ONLY — analyzes and prioritizes, never patches directly.
diff --git a/.claude/commands/zara.md b/.claude/commands/zara.md
new file mode 100644
index 000000000..0d83d1be3
--- /dev/null
+++ b/.claude/commands/zara.md
@@ -0,0 +1,3 @@
+Use the @zara-cs agent to help the user with the following customer success matter: $ARGUMENTS
+
+If no arguments were provided, ask what's needed (ticket triage, escalation packaging, customer response drafting, KB article, health score review).
diff --git a/.claude/commands/zen.md b/.claude/commands/zen.md
new file mode 100644
index 000000000..c15396948
--- /dev/null
+++ b/.claude/commands/zen.md
@@ -0,0 +1,3 @@
+Use the @zen-simplifier agent to help the user with the following simplification/refactor matter: $ARGUMENTS
+
+If no arguments were provided, ask which recently modified code to simplify. Zen reduces nesting/redundancy without changing behavior and never adds features.
diff --git a/.claude/rules/goals.md b/.claude/rules/goals.md
index b9b49d5ac..e5a883667 100644
--- a/.claude/rules/goals.md
+++ b/.claude/rules/goals.md
@@ -1,4 +1,4 @@
-# Goals — 4-Level Cascade (Mission → Project → Goal → Task)
+# Goals — 4-Level Cascade (Mission → Project → Goal → Ticket)
Every piece of work traces back to a measurable outcome. Agents receive goal context automatically when `goal_id` is set.
@@ -8,8 +8,8 @@ Every piece of work traces back to a measurable outcome. Agents receive goal con
Mission: Evolution MRR $1M Q4 2026
├── Project: Evo AI
│ ├── Goal: 100 paying customers by Jun 30 (count)
-│ ├── Goal: Ship billing v2 (boolean)
-│ └── Tasks...
+│ │ └── Tickets: pricing page copy, onboarding email, ... (real work)
+│ └── Goal: Ship billing v2 (boolean)
├── Project: Evolution Summit
│ ├── Goal: Sell 200 tickets
│ └── Goal: Close 3 sponsors
@@ -17,6 +17,10 @@ Mission: Evolution MRR $1M Q4 2026
└── Goal: 50 beta students
```
+Every rung can be proposed by AI and always requires human approval before it
+exists — see [[ai-hierarchy-suggestions]] below. Nothing in this hierarchy is
+ever created unsupervised.
+
## Data Model
SQLite tables (in `dashboard.db`):
@@ -24,11 +28,17 @@ SQLite tables (in `dashboard.db`):
| Table | Purpose |
|---|---|
| `missions` | Top-level purpose (v1 = single mission) |
-| `projects` | Work group under a mission; links to `workspace/project/` folders |
+| `projects` | Work group under a mission |
| `goals` | Measurable target within a project |
-| `goal_tasks` | Unit of work; `status='done'` triggers `current_value += 1` |
+| `tickets` | The real unit of work post goal-ticket-unification — `tickets.goal_id` links here; `_recompute_goal_from_tickets` (see Auto-Progress) is the sole writer of `goals.current_value` |
+| `goal_tasks` | **Frozen legacy** — predates goal-ticket-unification, read-only for goals created before it. Never created for new work; `tickets` is where real work lives now. |
+
+Indexes on FKs + `status`. Foreign keys: `projects.mission_id ON DELETE CASCADE`, `goals.project_id ON DELETE CASCADE`, `tickets.goal_id ON DELETE SET NULL`, `goal_tasks.goal_id ON DELETE SET NULL`.
-Indexes on FKs + `status`. Foreign keys: `projects.mission_id ON DELETE CASCADE`, `goals.project_id ON DELETE CASCADE`, `goal_tasks.goal_id ON DELETE SET NULL`.
+`missions`/`projects`/`goals`/`goal_tasks` all carry `completed_at` (set the
+moment status transitions into a terminal value, cleared if reopened — unlike
+`updated_at`, which changes on every edit). `goal_tasks` also carries
+`started_at` (set once, the first time status leaves `open`).
## Metric Types
@@ -42,13 +52,59 @@ UI formats display accordingly.
## Auto-Progress
-SQLite trigger `trg_task_done_updates_goal` on `UPDATE OF status ON goal_tasks`:
-- When `NEW.status = 'done' AND OLD.status != 'done'` and `goal_id IS NOT NULL`:
- - `goals.current_value += 1`
- - If `current_value >= target_value AND status = 'active'`: set `status = 'achieved'`
-- Idempotent — achieved goals don't regress
+There is no SQLite trigger driving this anymore — the old
+`trg_task_done_updates_goal` trigger (fired on `goal_tasks.status`) was
+dropped as part of goal-ticket-unification (see the comment in
+`dashboard/backend/app.py` near the `_existing_tables` migrations, roughly
+line 250). `goal_tasks` is frozen legacy; resolving one does not move any
+goal's progress.
+
+The real mechanism lives in `dashboard/backend/heartbeat_outcome.py::_recompute_goal_from_tickets(goal_id, conn)`,
+the single idempotent source of truth for `goals.current_value` and the
+`active`↔`achieved` transition:
+- `current_value = COUNT(tickets WHERE goal_id = ? AND status IN ('resolved','closed'))`
+- If `current_value >= target_value AND status == 'active'`: set `status = 'achieved'`, `completed_at = now()`
+- If `current_value < target_value AND status == 'achieved'` (drift correction, e.g. a resolved ticket got reopened): set `status = 'active'`, `completed_at = NULL`
+
+This is called from resolving/closing a ticket with a `goal_id` set — see
+[[tickets]] (`_sync_goal_task_from_ticket` and `heartbeat_outcome._move_ticket`).
+`POST /api/goals/{id}/recalculate` calls the same function directly for drift
+correction (no separate view involved).
+
+**Project rollup** (new): the same function also checks, every time a Goal
+becomes `achieved`, whether *every* Goal under that Goal's `project_id` is now
+terminal (`achieved` or `cancelled`). If so, it auto-`PATCH`es the Project to
+`status = 'completed'` with `completed_at` set. Implemented twice, once per
+data-access path that can trigger a Goal reaching a terminal state:
+- ORM path: `routes/goals.py::patch_goal` → `_maybe_complete_project(project_id)` (human edits a Goal's status directly)
+- Raw-SQL path: `heartbeat_outcome.py::_recompute_goal_from_tickets` → `_maybe_complete_project_raw(project_id, conn)` (the common real-world path, via ticket resolution)
+
+Both are best-effort and never raise — a rollup failure must never break the
+Goal update that triggered it.
+
+## AI Hierarchy Suggestions
+
+Every rung of Mission → Project → Goal can be proposed by AI instead of
+typed by a human, gated behind the same Telegram approval mechanism used for
+publish/decomposition gates (see `pending_approvals`, `gate_type` column):
+
+```
+POST /api/missions → dispatch(project-planner, mission_created)
+ → project-planner proposes 1-4 Projects → POST /api/approvals (gate_type=project_suggestion)
+ → human approves on Telegram → routes/approvals.py creates the Projects
+ → POST /api/projects (each) → dispatch(goal-suggester, project_created)
+ → goal-suggester proposes 2-6 Goals → POST /api/approvals (gate_type=goal_suggestion)
+ → human approves → routes/approvals.py creates the Goals
+ → dispatch(goal-planner, goal_created) ← pre-existing, unchanged
+ → goal-planner decomposes into Tickets (see [[tickets]])
+```
-Drift correction: `POST /api/goals/{id}/recalculate` recomputes from `goal_progress_v` view.
+Neither `project-planner` nor `goal-suggester` ever creates rows directly —
+they only ever call `POST /api/approvals`. Every step still requires a fresh
+human tap, so the cascade (a Project created from an approval can itself
+trigger a Goal proposal, which can itself trigger a Ticket decomposition) is
+safe: there is no unsupervised recursion, only a chain of independently
+gated approvals. Agents: `.claude/agents/project-planner.md`, `.claude/agents/goal-suggester.md`.
## Linking Work to Goals
@@ -100,7 +156,7 @@ Implemented in `dashboard/backend/goal_context.py` (`inject_into_prompt`). Falls
- Mission card at top with overall %
- Project cards with % progress
- Goals list with progress bars
-- Tasks collapsible per goal
+- Tickets collapsible per goal (the real work — see [[tickets]])
- Filters: status (active / achieved / on-hold / cancelled), due_date (overdue / this-week / this-month)
## How to Create
@@ -116,14 +172,16 @@ Implemented in `dashboard/backend/goal_context.py` (`inject_into_prompt`). Falls
POST /api/missions
POST /api/projects (body: mission_id)
POST /api/goals (body: project_id, target_metric, metric_type, target_value, due_date)
-POST /api/goal-tasks (body: goal_id, title, priority, assignee_agent)
+POST /api/tickets (body: goal_id, title, priority, assignee_agent)
```
+Or let AI propose the rung — see [[ai-hierarchy-suggestions]] above.
+
## Integration Points
- **Heartbeats (F1.1)** — step 6 calls `goal_context.inject_into_prompt()` if `goal_id` set
- **Routines** — optional `goal_id` / `project_id` in YAML; runner injects context
-- **Tickets (F1.3)** — optional `goal_id`; resolving a ticket can close a related task
+- **Tickets (F1.3)** — optional `goal_id`; resolving/closing a ticket with a linked `task_id` recomputes the goal's progress via `_recompute_goal_from_tickets`, which can cascade into the project rollup above
## Related Rules
diff --git a/.claude/rules/memory-recall.md b/.claude/rules/memory-recall.md
new file mode 100644
index 000000000..6c457d810
--- /dev/null
+++ b/.claude/rules/memory-recall.md
@@ -0,0 +1,92 @@
+# Memory Recall & Self-Learning — Protocolo dos Agentes
+
+Sessões são efêmeras (`/clear`, redeploys, novos terminais); memória não pode
+ser. Este protocolo garante que todo agente **recupere contexto no início** e
+**persista aprendizados no final** — o ciclo de self-learning do workspace.
+
+## 1. Recall — no início de toda sessão/tarefa
+
+Antes de trabalhar, recupere contexto nesta ordem (barato → caro):
+
+1. **Hot cache** — `CLAUDE.md` já está no contexto (automático).
+2. **Memória do agente** — leia `.claude/agent-memory/{seu-agente}/` (em
+ especial `MEMORY.md` / `learnings.md` se existirem). É a SUA memória entre
+ sessões; se o diretório está vazio, você é novo — comece a populá-lo.
+3. **Busca semântica (MemPalace)** — quando o assunto tem histórico provável,
+ consulte a base de conhecimento:
+
+ ```python
+ from dashboard.backend.sdk_client import evo
+ hits = evo.get("/api/mempalace/search", params={"q": "deploy VPS omniroute", "n": 5})
+ ```
+
+ Indexa `memory/`, `.claude/agent-memory/` e `workspace/development/` —
+ decisões, incidentes, retros e aprendizados de TODOS os agentes.
+4. **Inbox de tickets (kanban)** — trabalho persistente atribuído a você:
+
+ ```python
+ abertos = evo.get("/api/tickets", params={"assignee_agent": "{seu-slug}", "status": "open"})
+ ```
+
+ Ticket relevante ao assunto atual → faça checkout atômico antes de agir
+ (`POST /api/tickets/{id}/checkout`) e comente o progresso.
+
+**Regra prática:** se o usuário mencionar algo que soa como já discutido
+("aquele bug", "como fizemos antes", "o problema do X"), consulte o MemPalace
+ANTES de dizer que não sabe.
+
+## 2. Self-learning — ao final de toda tarefa não-trivial
+
+Persista o que a próxima sessão vai precisar:
+
+1. **Aprendizado do agente** — acrescente em
+ `.claude/agent-memory/{seu-agente}/learnings.md` (crie se não existir):
+
+ ```markdown
+ ## 2026-07-07 — Bot Telegram 401 com omnirouter
+ **O que aconteceu:** chave NVIDIA do env sequestrava chamadas ao gateway.
+ **Lição:** chave do provider em providers.json SEMPRE vence o env global.
+ **Aplicar quando:** qualquer 401 em provider OpenAI-compatível.
+ ```
+
+ Formato livre, mas sempre com **lição** e **quando aplicar**. Datas
+ absolutas, nunca "hoje/ontem".
+2. **Fato do workspace** (afeta outros agentes ou o negócio) → registre em
+ `memory/` seguindo o padrão LLM Wiki (ver seção Memory System do
+ CLAUDE.md); a rotina memory-sync propaga.
+3. **Trabalho inacabado** → vira ticket (`POST /api/tickets`), nunca só uma
+ nota na conversa. Conversa morre; ticket fica no kanban.
+4. **Reindexar** — os arquivos novos entram na busca semântica no próximo
+ mine. Depois de gravar aprendizados importantes, dispare:
+
+ ```python
+ evo.post("/api/mempalace/mine") # indexa todas as fontes (idempotente)
+ ```
+
+## 3. O que NUNCA fazer
+
+- Não confie que "a sessão anterior sabe" — ela não existe mais após /clear.
+- Não duplique: antes de criar memória nova, busque se já existe (atualize o
+ arquivo existente em vez de criar outro).
+- Não guarde segredos (keys, tokens, senhas) em memórias ou learnings.
+- Não salve o que o repositório já registra (código, git history, CLAUDE.md).
+
+## Infraestrutura (referência)
+
+| Peça | Onde | Persistência |
+|---|---|---|
+| MemPalace (índice chroma + fontes) | `dashboard/data/mempalace/` | volume `evonexus_dashboard_data` |
+| Memória dos agentes | `.claude/agent-memory/` | volume `evonexus_agent_memory` |
+| Memória do workspace | `memory/` | volume `evonexus_memory` |
+| Tickets/kanban | SQLite `dashboard.db` | volume `evonexus_dashboard_data` |
+
+API MemPalace: `GET /api/mempalace/status` · `GET /api/mempalace/search?q=&n=` ·
+`POST /api/mempalace/mine` · fontes em `GET/POST /api/mempalace/sources`.
+O pacote vem pré-instalado na imagem do dashboard; fontes padrão são seedadas
+no primeiro uso.
+
+## Regras relacionadas
+
+- `tickets.md` — inbox, checkout atômico, menções
+- `agents.md` — agent-memory por agente, EvoClient
+- `heartbeats.md` — heartbeats consomem o mesmo inbox
diff --git a/.claude/rules/routines.md b/.claude/rules/routines.md
index d860b45de..b9214169e 100644
--- a/.claude/rules/routines.md
+++ b/.claude/rules/routines.md
@@ -1,46 +1,77 @@
# Automated Routines
-Managed by the scheduler (`make scheduler`) — see `ROUTINES.md` for full details.
-
-## Daily
-
-| Time | Routine | Make | Agent |
-|---------|--------|------|--------|
-| 06:50 | Review Todoist | `make review` | @clawdia |
-| 07:00 | Good Morning (briefing) | `make morning` | @clawdia |
-| 07:15 | Email Triage | `make triage` | @clawdia |
-| every 30min | Sync Meetings (Fathom) | `make sync` | @clawdia |
-| 18:00 | Social Analytics | `make social` | @pixel |
-| 18:30 | Licensing Daily | `make licensing` | @atlas |
-| 19:00 | Financial Pulse | `make fin-pulse` | @flux |
-| 20:00 | Community Pulse (Discord) | `make community` | @pulse |
-| 20:15 | FAQ Sync | `make faq` | @pulse |
-| 21:00 | End of Day | `make eod` | @clawdia |
-| 21:15 | Memory Sync | `make memory` | @clawdia |
-| 21:30 | Consolidated Dashboard | `make dashboard` | @clawdia |
-
-## Weekly
-
-| Day | Routine | Make | Agent |
-|-----|--------|------|--------|
-| Friday 07:30 | Financial Weekly | `make fin-weekly` | @flux |
-| Friday 07:45 | Licensing Weekly | `make licensing-weekly` | @atlas |
-| Friday 08:00 | Weekly Review | `make weekly` | @clawdia |
-| Friday 08:15 | Social Analytics Weekly | `make social` | @pixel |
-| Friday 08:30 | Trends | `make trends` | @clawdia |
-| Friday 09:00 | Strategy Digest | `make strategy` | @sage |
-| Mon/Wed/Fri 09:00 | Linear Review | `make linear` | @atlas |
-| Mon/Wed/Fri 09:15 | GitHub Review | `make github` | @atlas |
-| Monday 09:30 | Community Weekly | `make community-week` | @pulse |
-| Sunday 09:00 | Memory Lint | `make memory-lint` | @clawdia |
-| Sunday 09:45 | Learning Review Weekly | `make learn-weekly` | learn-* skills |
-| Sunday 10:00 | Health Check-in | `make health` | @kai |
-
-## Monthly (Day 1)
-
-| Routine | Make | Agent |
-|--------|------|--------|
-| Monthly Close Kickoff | `make fin-close` | @flux |
-| Community Monthly | `make community-month` | @pulse |
-| Licensing Monthly | `make licensing-month` | @atlas |
-| Social Analytics Monthly | `make social` | @pixel |
+Managed by the scheduler (`make scheduler`, runs `scheduler.py`) — see `ROUTINES.md` for
+narrative details.
+
+**Reality check (panorama 2026-07-17, item 3):** a prior version of this file documented
+~20 daily/weekly/monthly routines as if all were scheduled. Most had no backing script at
+all — `scripts/publish_scheduled.py` (the one that actually dispatches real posts to X)
+was even silently failing every tick because `scheduler.py` looked for it under the wrong
+path. That's fixed. What's below is now split into what's genuinely scheduled vs what
+still requires a manual skill invocation — no more promising automation that doesn't run.
+
+## Core (`scheduler.py`, ships with the repo)
+
+| Time | Routine | Script |
+|---------|--------|--------|
+| 07:00 | Good Morning (briefing) | `good_morning.py` |
+| 21:00 | End of Day | `end_of_day.py` |
+| 21:00 | Daily Backup | `backup.py` |
+| 21:15 | Memory Sync | `memory_sync.py` |
+| 04:00 | Uso Modelos DIA (cost telemetry) | `uso_modelos_dia.py` |
+| Every hour, 08h-20h BRT | Hourly Report | `hourly_report.py` |
+| Sunday 09:00 | Memory Lint | `memory_lint.py` |
+| Friday 08:00 | Weekly Review | `weekly_review.py` — reactivated; checks overdue items weekly |
+
+`run_adw()` resolves a script's real location with a 3-candidate fallback
+(`ADWs/routines/custom/` → `ADWs/routines/` → top-level `scripts/`) so
+a script doesn't need to be relocated just to be scheduled — see `scheduler.py::run_adw`.
+
+## Deadline heartbeat (in-process, zero Claude cost)
+
+`deadline-check` (`config/heartbeats.example.yaml`) — every 4h, checks for active Goals
+and open/in_progress/blocked Tickets past their `due_date` and alerts via Telegram if any
+exist. Closes the gap between Weekly Review runs (Fridays only). Handler:
+`dashboard/backend/deadline_check.py::tick`. Ships `enabled: false` — enable via
+`/scheduler` → Heartbeats after reviewing.
+
+## Operacional diário (`config/routines.yaml`, local/gitignored — notifies via WhatsApp)
+
+Decision (2026-07-17): only this cluster gets formalized scheduling; notification channel
+is WhatsApp (Evolution Go, instância `sistema-britto`) to the superadmin's number, **not
+e-mail**. Requires `WHATSAPP_PHONE` + `EVOLUTION_GO_URL`/`EVOLUTION_GO_KEY` in `.env` — see
+`.env.example`. All ship `enabled: false`; flip to `true` in `config/routines.yaml` once
+those env vars are set.
+
+| Time | Routine | Script | Agent |
+|---------|--------|--------|--------|
+| 06:50 | Review Todoist | `custom/review_todoist.py` → skill `prod-review-todoist` | @clawdia |
+| 07:15 | Email Triage | `custom/email_triage.py` → skill `gog-email-triage` | @clawdia |
+| every 30min | Sync Meetings (Fathom) | `custom/sync_meetings.py` → skill `int-fathom` | @clawdia |
+| 21:30 | Dashboard Consolidado (WhatsApp) | `daily_status_report.py` | system (no Claude — pure SQL report) |
+
+`config/routines.yaml` and `ADWs/routines/custom/*.py` are gitignored by design (same
+pattern as `config/heartbeats.yaml` vs `.example.yaml`, or `.claude/agents/custom-*.md`) —
+personal-to-workspace automation, not shipped in the repo. **On a VPS deploy, these do
+NOT ride along with a `docker service update`** — they need to be placed on that machine
+directly (same as `config/heartbeats.yaml` and `.env` already are).
+
+## Not scheduled — invoke manually via skill
+
+Everything below has a skill (or documented `/skill-name`) but no backing routine script —
+run it in a Claude Code session (`/skill-name`) or ask the relevant agent directly. Adding
+scheduling for any of these is the natural next step of this same pattern, once there's a
+real script wired the way Review Todoist/Email Triage/Sync Meetings are above.
+
+| Routine | Agent | How to run today |
+|---------|--------|--------|
+| Social Analytics (daily/weekly/monthly) | @pixel | `/social-analytics-report` or ask Pixel |
+| Licensing (daily/weekly/monthly) | @atlas | ask Atlas |
+| Financial Pulse / Weekly / Monthly Close | @flux | ask Flux |
+| Community Pulse / Weekly / Monthly | @pulse | ask Pulse |
+| FAQ Sync | @pulse | ask Pulse |
+| Trends | @clawdia | ask Clawdia |
+| Strategy Digest | @sage | ask Sage |
+| Linear Review / GitHub Review | @atlas | ask Atlas |
+| Learning Review Weekly | learn-* skills | `/learner` or relevant `learn-*` skill |
+| Health Check-in | @kai | ask Kai |
diff --git a/.claude/rules/tickets.md b/.claude/rules/tickets.md
index e0d98e4cc..14d5b7d89 100644
--- a/.claude/rules/tickets.md
+++ b/.claude/rules/tickets.md
@@ -12,6 +12,7 @@ Persistent topics with state, assignable to agents, with atomic checkout. Primar
| `priority` | `urgent` / `high` / `medium` / `low` |
| `assignee_agent` | agent slug (`zara-cs`, `flux-finance`, ...) |
| `project_id`, `goal_id` | Optional links to Goals (F1.2) |
+| `task_id` | Optional FK to a specific `goal_tasks.id` (not just the goal). **Set this whenever a ticket represents one specific goal_task** — e.g. tickets mirroring a task with a `[GOAL:N] ` naming convention. Without it, resolving the ticket has no way to advance the task: title-matching is not read back by any code. When `task_id` is set, resolving/closing the ticket (via API, bulk action, or `heartbeat_outcome._move_ticket`) automatically marks the linked `goal_task` `done` and recalculates the goal's `current_value` — see `_sync_goal_task_from_ticket` in `dashboard/backend/heartbeat_outcome.py`. Confirmed live 2026-07-15: 24 tickets had been resolved for weeks with their goal_tasks still `open` because this link didn't exist yet. |
| `locked_at`, `locked_by` | Atomic checkout state |
| `lock_timeout_seconds` | Default 1800 — janitor releases after this |
diff --git a/.claude/skills-media/README.md b/.claude/skills-media/README.md
new file mode 100644
index 000000000..b0c91d50f
--- /dev/null
+++ b/.claude/skills-media/README.md
@@ -0,0 +1,7 @@
+# skills-media
+
+Scoped skill catalog for the media-worker's OpenCode process (ADR-6 in
+workspace/development/features/social-media-production/). Populated by
+scripts/update_hyperframes_skills.sh — never the full 199-skill
+`.claude/skills/` catalog (that's what made the native `skill` tool too
+expensive to leave on for the main dashboard/scheduler containers).
diff --git a/.claude/skills-media/embedded-captions/.gitignore b/.claude/skills-media/embedded-captions/.gitignore
new file mode 100644
index 000000000..88eba0f44
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/.gitignore
@@ -0,0 +1,24 @@
+# Matting weights: the PP-MattingV2 ONNX SHIPS with the skill (committed — the
+# upstream exports have no stable public download URL). Ignore any other stray
+# .onnx (e.g. experimental variants) so they don't get committed by accident.
+assets/*.onnx
+!assets/ppmattingv2_stdc1_human_544x960.onnx
+
+# Stray render/test artifacts — a project's outputs must never live inside the skill.
+*.mp4
+*.webm
+*.log
+_*.png
+frames_bg/
+frames_fg/
+history/
+*_shadow/
+transcript.json
+plan.json
+matte.fps
+safe-zones.json
+
+.DS_Store
+# CDPR fan-kit source SVG (528KB) — only its extracted metrics
+# (assets/brand/cyberpunk-widths.json) are consumed at runtime.
+assets/brand/Cyberpunk2077.svg
diff --git a/.claude/skills-media/embedded-captions/CATALOG.md b/.claude/skills-media/embedded-captions/CATALOG.md
new file mode 100644
index 000000000..71dd062b0
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/CATALOG.md
@@ -0,0 +1,93 @@
+# THE CATALOG — one front-end, three engines behind
+
+This is the skill's single selection surface. **The user picks an IDENTITY from
+this table; everything else (engine, compiler, authoring file) is derived by
+lookup — never ask the user (or yourself) "Standard or Cinematic or Theme?"**
+Those are backend names; a product has one UX even when it has several engines.
+
+Routing procedure (replaces any mode decision):
+
+1. Probe the clip (decision gate + pre-flight probes as in SKILL.md).
+2. Shortlist 2–3 identities from this table by **content register + the user's
+ own words + scene constraints**.
+3. Recommend ONE with a one-line why; the user picks.
+4. Author the identity's file (last column), then render with its engine's
+ pipeline. Done — no category question ever surfaced.
+
+## Identities
+
+| Identity | Reading surface | Voice (one line) | Recommend for | Scene needs | Author → engine |
+| ------------- | -------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------- | ------------------------------- |
+| `cream` | scene-embedded column flow | warm poetic light, emergence + glow | introspective, narrative, emotional monologues | dark/mid-tone warm scenes (luma < 150) | cinematic.json → make-cinematic |
+| `ink` | scene-embedded column flow | letterpress pressed into bright surfaces | the bright scenes everything else washes out on | BRIGHT scenes (luma > 150) | cinematic.json → make-cinematic |
+| `editorial` | scene-embedded column flow | lowercase italic serif, pen-stroke glides | fashion / beauty / lyrical / premium brand films | mid/dark scenes | cinematic.json → make-cinematic |
+| `keynote` | scene-embedded column flow | confident centered slides-in-the-scene | launches, founder updates, tech explainers (mood over verbatim reading) | any mid/dark | cinematic.json → make-cinematic |
+| `documentary` | scene-embedded column flow | burn-in stillness, bone on charcoal | interviews, journalism, testimony — gravitas IS the style | any | cinematic.json → make-cinematic |
+| `loud` | scene-embedded, body in front | percussion type that competes with the face | hype, social reels, sport, music, motivational | any (counter-accent handles warm) | cinematic.json → make-cinematic |
+| `neon` | scene-embedded column flow | captions as neon signage in the dark | cyberpunk / nightlife / tech-noir / music | dark scenes | cinematic.json → make-cinematic |
+| `glitch` | scene-embedded column flow | corrupted-feed RGB-split type | hacker / AI / dystopia content | mid/dark | cinematic.json → make-cinematic |
+| `chrome` | scene-embedded column flow | liquid-metal hero with sheen sweeps | fashion-tech, Y2K, product-flex | mid/dark | cinematic.json → make-cinematic |
+| `velocity` | scene-embedded column flow | every word arrives along its motion vector | sport, automotive, fitness, kinetic content | any mid/dark | cinematic.json → make-cinematic |
+| `anchor` | verbatim lower-third rail + 1 settled climax | the quiet professional — fade-up rail that simply reads; the apex settles behind the subject with a drawn accent underline. Discipline IS the style. | explainers, tutorials, corporate, news-adjacent — **where every word must be read**; the conservative default | any (opaque rail; settle carries a soft veil) | theme.json → make-theme |
+| `ordnance` | stamped verbatim rail + detonation apex | military marking system; everything has mass; the room reacts | punchy announcements, drops, "炸一点 / 像 AE 做的" asks | any (charge-dim makes its own contrast) | theme.json → make-theme |
+| `terminal` | typed console panel + glyph-decode apex | the transcript is a signal log; apex decodes from noise | tech / data / AI / investigative, "终端/控制台/解码" asks | cool/dusk preferred | theme.json → make-theme |
+| `neonsign` | warm tube rail + hand-written neon apex | a sign district at dusk; the apex is WRITTEN stroke by stroke | lifestyle / music / mood, "霓虹/手写" asks | dusk/dark backdrop; needs `python3` (stroke-path gen) | theme.json → make-theme |
+| `stardust` | accumulating poem, condensing letters | words condense from dust and return to it | poetic / memory / science-wonder monologues | one clear column side (probe fails → fall back to `cream`) | theme.json → make-theme |
+| `stomp` | full-frame takeover cards | hard-cut typographic takeover with a void before the drop | hooks, manifestos, ad openers — the words ARE the show | any (plate runs dimmed) | theme.json → make-theme |
+| `lastpage` | manuscript rail + a blurred future-field | the future hangs unreadable in the room; one rack-focus reveals every faint line was the apex word | visionary thesis, prophecy-toned talks, trailers, literary content | mid/dark (the field needs air) | theme.json → make-theme |
+| `nightcity` | corrupted-UI rail + cover-letterform apex | body words boot through a corrupted-cyan frame into acid-yellow UI; the apex slams in BEHIND the subject set in the CP2077 cover replica typeface (cyan offset, baseline streak, circuit trace), tears in as displaced slices, lives as a glitching print | gaming / tech-edge / glitch culture / hype drops, "赛博朋克/游戏封面" asks | any (the lockup carries its own contrast); CP2077-adjacent content only (fan-kit terms) | theme.json → make-theme |
+| `scoreboard` | split-flap chyron rail + departures-board apex | stadium split-flap mechanics — body words flip-cycle wrong words on tiles before clacking onto the real one; ROW counter + odometer chip furniture; the apex is a giant departures board behind the subject that locks the word letter-by-letter under floodlights and a crowd-flash, status ticker types on | sports, transit/travel, scores, countdowns, reveals, "翻牌/记分牌/机场大屏" asks | any (board + chyron bring their own dark metal contrast) | theme.json → make-theme |
+| `transit` | LED departure-strip rail + illumination-wipe apex | amber dot-matrix station PA — body words light column-by-column (L→R LED wipe + arrival flicker) on a docked departure strip whose lines page by scroll-snap; platform tag, ticking clock, ⚠ DELAYED → ● ON TIME gag; the apex panel expands behind the subject inside a chasing LED-marquee border, the word illuminates column-by-column under a PA flash + ding pulses, then pages up and collapses | travel/transit, announcements, schedules, countdowns, retro-terminal, "LED屏/车站到站/点阵屏" asks | any (LED strip + panel bring their own dark contrast) | theme.json → make-theme |
+| `vhs` | camcorder OSD rail + REC-FREEZE tracking-slam apex | tape playback — permanent lens vignette + OSD furniture (▶ PLAY, ● REC, blinking green timestamp); body words carry a permanent red/cyan misregistration fringe, arrive by tracking glitch and REWIND off with flat-white echoes + scrub lines (the deck flips PLAY→REW in dead air); the apex is REC FREEZE: 1-frame white tear + head-switching noise bar, the word slams in behind the subject as three sheared tracking bands that SNAP into register, misregistration breathes through the hold under tape weave + auto-iris, then rewinds off | retro / nostalgia / found-footage / home-video, '90s tech, music & lifestyle edits, "录像带/VHS/复古/DV" asks | any (backlight-comp scrim makes its own contrast on bright skies) | theme.json → make-theme |
+| `arcade` | arcade HUD rail + pixel-block boss-intro apex | 8-bit cabinet attract mode — the frame plays through CRT scanlines + a corner vignette; body words coin-pop onto a bordered HUD bar (blinking 1UP, CREDIT 01) with a 1-frame white blip each, emphasis words run a cyan→magenta palette swap, lines dissolve checkerboard; the apex is a BOSS INTRO behind the subject: the room dims, WARNING blinks twice, ~64 seeded pixel blocks fall quantized into a matrix grid over the word rect, the word flashes ON in Press Start 2P with chromatic ghost layers + a 3-frame palette strobe while letterbox bars slam in and a HI-SCORE odometer rolls top-right; everything dissolves checkerboard and the blocks drop away | gaming, retro-tech, playful hype, launches, achievement/level-up beats, "像素/街机/8-bit/打游戏" asks | any (boss dim + dark HUD bar bring their own contrast) | theme.json → make-theme |
+| `dossier` | manila case-file strip + rubber-stamp apex | cold-war case file — carbon Special Elite HAMMERS onto a manila transcript strip char by char (seeded baselines + ribbon ink, every strike kicks the paper; typed case header, CONFIDENTIAL watermark, red ink circles around the evidence; pages are X-row over-struck and carriage-fed away); the apex is a RUBBER STAMP behind the subject: the footage goes sepia-archival, the stamp crushes in at −8° with a double-strike ghost + thin-ink patches, then holds DEAD STILL — sold only by a breathing paper indent — until the page is filed away with a mechanical yank | investigations, exposés, true-crime, document-driven storytelling, declassified/archival framing, "档案/卷宗/解密/盖章" asks | any (the manila strip is self-lit; the stamp brings its own sepia charge) | theme.json → make-theme |
+| `laser` | beam-ignited rail + 6-beam laser-cage apex | concert laser rig in a blackout — every body word is IGNITED where a green and a magenta beam converge on it two frames early (flare pop, snap-on, single strobe on emphasis; a sweeper beam carries each line away); the apex is the drop: a 6-beam array sweeps to one hot point, the word ignites behind the subject in an additive glow stack with two controlled strobe pops, a criss-cross beam cage draws around it, the array fans out wide through the hold, then the beams sweep everything off L→R | music, nightlife, festivals, drops, hype reveals, keynote 'one more thing' beats, "激光/灯光秀/蹦迪字幕" asks | any (the concert blackout makes its own contrast, bright skies included) | theme.json → make-theme |
+| `thunder` | rain-washed rail + branched-bolt strike apex | the storm is the editor — slate storm mood on the room, ambient slanted rain falling in front of the subject, and the sky "kisses" (1-frame brighten) on every body word; rail words arrive with a lit-bright lightning pop (emphasis = sheet-lightning double flash mirrored by a double sky-kiss); the apex is THE STRIKE: a hand-authored branched bolt flashes two frames before the word, the word slams in lit HARD with its shadow flipped toward the bolt, ozone under-glow breathes through the hold while the rain doubles, then everything washes downward with the rain | dramatic reveals, storm/weather content, epic hype beats, trailer-toned monologues, "雷电/闪电/暴风雨字幕" asks | any (charge-dim + radial word scrim make their own contrast, bright skies included) | theme.json → make-theme |
+| `hologram` | volumetric projection plate + hologram-boot apex | every caption is LIGHT cast from an emitter — body words boot onto a scanlined projection plate with a rising sweep, a 1-frame interference glitch and a permanent cyan/magenta fringe (emphasis words drop out for 2 frames and restore brighter; lines drift in rotationY and exit by projector cut); the apex is the full volumetric boot: a desk emitter dot pops, the cone snaps wide, a seed beam fires, and the word materializes behind the subject as a 7-layer hologram with climbing interference bands — a hand passes through it before the projector cuts it back to the dot | tech / sci-fi / AI / space / imaging explainers, futuristic product reveals, "全息/投影/科幻字幕" asks | any (the apex scrim + dim make their own contrast; wants a lower frame edge for the emitter dots) | theme.json → make-theme |
+| `biolume` | jellyfish glow-on rail + bioluminescent-bloom apex | deep-sea bioluminescence — the clip sinks into an abyss grade with a breathing vignette and every caption is a living light: body words GLOW ON like jellyfish (radial bloom from center while a cyan glow breathes in; emphasis words pulse a slow propulsion double-beat) across two coexisting floating rows and SINK away dimming; seeded plankton motes drift the open water and the ones ringing the apex are pulled into the bloom; the apex is the BLOOM behind the subject: a creature pre-glow double-beats and crushes to a point, the word condenses in, six luminous tendrils draw outward like filaments while caustics shimmer, cyan light spills onto the scene and spores burst past — then all the light sinks back into the deep | ocean / nature / science-wonder docs, dreamy or meditative monologues, slow night-time reveals, "深海/发光水母/水下字幕" asks | any (the abyss grade + pocket scrim make their own contrast on bright scenes) | theme.json → make-theme |
+| `aurora` | iridescent sheen rail + silk-ribbon draw-on apex | polar-night elegance — two huge aurora blobs drift the sky all clip; body words are silk serif ink whose rose→teal→violet sheen drifts continuously through the letters (entrance = 2-frame flow-on + y8 settle; emphasis = one bright highlight sweep marching through the word), lines share two coexisting rows like a woven couplet and dissolve UPWARD into drifting light streaks; the apex is a SILK RIBBON: the hero word is hand-WRITTEN into the sky behind the subject stroke by stroke (script single-line font, blurred halo + bright core, a light mote riding the pen) and the aurora gradient keeps FLOWING through the drawn ribbon during the hold while a soft spill tints the sky and light motes rise past the subject — gentle, no shake | dreamy / romantic / wonder content, night-sky and travel pieces, poetry, weddings, elegant brand films, "极光/丝带/优雅手写字幕" asks | any (apex scrim + dark understroke carry contrast on bright skies; loves dusk/night) | theme.json → make-theme |
+| `spectrum` | oscilloscope scope-band rail + phosphor trace-write apex | an oscilloscope is listening — a dark scope band hosts an ALWAYS-ALIVE waveform (seeded pseudo-RMS envelope: speech grows it, silence flattens it, every word arrival kicks a local burst) under VT323 phosphor lines that wipe in L→R over reserved slots with a 2-frame just-traced flash (emphasis words get a ticking frequency-readout chip, the trig LED blinks on every word); the apex is the trace itself LEAPING off the scope (surge column) to hand-WRITE the hero word in a thin phosphor script stroke, fill flicker-on, hum + breathe, then COLLAPSE to a flatline before the next spoken word — and on the FINAL word the trace explodes to max-amp chaos, flatlines to a single dot and stamps SIGNAL LOST | science / signal / audio / measurement / astronomy explainers, data-nerd content, retro-lab or synth aesthetics, "示波器/波形/信号字幕" asks | any (the scope band brings its own dark glass; the apex scrim handles bright skies); needs `python3` (stroke-path gen) | theme.json → make-theme |
+| `papercut` | paper-chip craft rail + stop-motion papermat apex | stop-motion paper craft — the frame becomes an animator's table: body words are cream paper chips PLACED one by one (steps(2) drop, seeded crooked, ~5fps wobble) on a kraft strip with torn top edge, washi-taped corners and a handwritten cut&paste tag; emphasis words get a washi-tape slap, the final word is an accent-red sign-off chip, and a red paper star stands in for the hero word; the apex is a torn kraft mat slapped down behind the subject where torn-edge letter chips DROP with stepped gravity + anticipation shadows, land crooked, settle in 12fps poses, wobble at 8fps while a warm vignette charges — then the FINAL word bumps the table and everything scatters off down-right | craft/DIY, kids & family, indie product demos, behind-the-scenes, maker channels, "手工/剪纸/定格动画字幕" asks | any (kraft strip + cream chips bring their own warm contrast) | theme.json → make-theme |
+| `popup` | pop-up book page rail + centerfold starburst apex | a pop-up book opens inside the frame — body words POP UP on a baseline hinge (rotationX back.out, paper overshoot, a growing back-shadow) along a cream page strip that unfolds from the bottom edge (center foldline, two alternating reading rows); emphasis words land bigger with a contact squash the page FEELS (1px strip dip), then flick-wobble with a blue paper strut leaning in behind; line exits fold flat in an L→R wave (the page closing), the whole page TILTS on the final word and the strip folds shut on the last frame; the apex is THE CENTERFOLD: blue + cream 12-point paper starbursts unfold behind the subject, the hero word pops up in three hinged clip-path segments, kraft struts lean in, backdrop + word wobble-settle TOGETHER and breathe through the hold — then the whole spread folds flat before the next sentence; a blue paper star holds the hero slot on the rail and paper confetti flicks past the subject at the pop | kids and family content, storytelling, education, greeting-card / wholesome brand spots, picture-book and craft channels, "立体书/弹出书/纸艺字幕" asks | any (the cream page strip is self-lit; the apex dusk scrim guards bright skies) | theme.json → make-theme |
+| `chalkboard` | chalk-band rail + hand-written chalkwrite apex | night lecture — a worn deep-green chalk band where every word is SCRIBBLED in fast chalk (2-frame pop + steps(4) scribble reveal + dust puff at the base, seeded crooked); emphasis gets double underline dashes, the final word lands in yellow chalk, and between sentences an ERASER SWIPE smears the old words off (blurred light band, ghost smudges stay — chalk never fully erases); the apex: the band GROWS into a full blackboard behind the subject and the hero word is HAND-WRITTEN 130px tall stroke by stroke (jittered chalk nib, dust falling from the pen, blurred halo under a tight core), finished with a hand-slap dust CLAP in front of the subject + a 1-frame board shake and two violent accelerating underlines, then the halo breathes through the hold | education / explainers, science and lecture content, teacher channels, documentary asides, "黑板/粉笔/板书/老师讲课字幕" asks | any (the deep-green board brings its own contrast); needs `python3` (stroke-path gen) | theme.json → make-theme |
+| `graffiti` | marker rail + spray-tagged handstyle apex | street bombing run — marker words FLICK onto the rail crooked (1-frame squeak skew, seeded rotation, back.out settle); emphasis takes alternating yellow/magenta paint + a spray-underline swoosh with overspray dots; spent lines are ROLLER-BUFFED away (gray roller sweep, wet smear lingers) and the final word lands BIG in yellow with the punch; the apex: the dusk wall dims, the can RATTLES, and the hero word is spray-TAGGED stroke by stroke behind the subject in fat yellow paint (dark under-stroke armor + blurred overspray halo + glowing nib + seeded overspray dots), paint DRIPS grow from the low points through the hold, a magenta paint splat pops at the pen-finish and the plate punches on it | street culture, hip-hop / rap, sneaker & fashion drops, urban sports, skate/BMX, rebellious brand spots, "涂鸦/喷漆/街头字幕" asks | any (the dark under-stroke armors the tag against bright skies); needs `python3` (stroke-path gen) | theme.json → make-theme |
+| `brush` | washi paper-band rail + sumi-e brush-gesture apex | sumi-e study — a deckle-edged washi paper band swipes in behind a traveling brush-head shadow; body words are brush-WIPED on in a Mincho serif (clip reveal behind a per-word brush head, seeded ±1° tilt), emphasis gets a double curved ink underline, and spent lines are wiped OFF right-to-left like a wet cloth (erase brush head riding the wipe); the apex: a warm paper wash charges behind the subject and the hero word is written in ONE violent calligraphic gesture — pressure-tapered wet brush (four stacked stroke widths, blurred bleed underneath), start-SPLAT at the first pen contact with ink flecks kicking past the subject, spatter droplets ejected at the sharpest curves — then the ink BLEEDS into the paper through the hold (the work breathes) and a vermilion SEAL chop (観) stamps beside the ink with the plate punch | calm-authority explainers, craft / design / philosophy / Japan-adjacent content, tea / meditation / writing channels, elegant brand films, "水墨/毛笔/书法字幕" asks | mid/bright scene band (dark ink + its paper wash carry the contrast); needs `python3` (stroke-path gen) | theme.json → make-theme |
+| `inkwater` | three-row ink rail + ink-drop bloom apex | sumi ink dropped in still water — paper-white radial washes back the text zones, Mincho-serif ink words BLEED into three fixed reading rows (blur+scale bleed over a paper-glow halo, dark blurred halo overshoots then tightens, an ink-settling hairline under each line, emphasis sheds a curling ink wisp) and spent lines re-dissolve upward like dispersing ink; the apex: a dark drop falls behind the subject, hits an invisible water surface at the word point and BLOOMS (three stacked blurred ink ellipses at counter-rotating rates + two thin ripple rings) while the world stills under a gentle vignette — the hero words resolve out of the blob on their own spoken times, breathe at the glyph edges through the hold, then re-dissolve before the next thought needs the reader | contemplative / literary / scientific-wonder narration, astronomy / nature / memory / essay films, poetry and slow-craft channels — one liquid meditative event instead of an impact, "水墨滴落/墨水字幕" asks | mid/bright scene band (dark ink + its paper washes carry the contrast) | theme.json → make-theme |
+| `ransom` | cutout-chip collage rail + ransom-note slam apex | kidnapper's collage — every word is a chip clipped from a different page (cream Anton / black Inter / newsprint typewriter / accent-yellow marker, torn edges, hard offset shadows) PASTED crooked on the rail with misaligned baselines (the apex slam at low amplitude); emphasis words get a 1-frame RE-PASTE lift (shadow grows, rotation flips sign for good) and spent chips are RIPPED off one by one under 1-frame paper-tear flashes; the apex: a collage scrim darkens the sky and the hero word slams in letter by letter as a ransom note BEHIND the subject — each letter a different cutout chip, flight shadow popping tight on contact — the whole word JOLTS as the last letter lands (the plate punches with it), looms crooked through the hold, then is torn off chip by chip while the closing line speaks | true crime, mystery / thriller, heist energy, punk / DIY zine aesthetics, edgy drops, unhinged-comedy hooks, "勒索信/剪贴/拼贴字幕" asks | any (solid chip backgrounds carry their own contrast; the apex scrim guards bright skies) | theme.json → make-theme |
+
+## Shortlisting heuristics (identity-level, not category-level)
+
+- **"每个词都要被读到 / accessibility / 教程·新闻"** → rail or panel surfaces:
+ `anchor`, `ordnance`, `terminal` (all verbatim by construction).
+- **"嵌进场景 / 电影感 / 高级"** → the column-flow ten; pick by register + scene luma
+ (bright → `ink`; warm dark → `cream`; fashion → `editorial`; …). Bright + must-read → `anchor`.
+- **"炸 / 特效 / 酷炫 / 像 AE"** → `ordnance`, `stomp`, `terminal`, `loud` — pick by
+ what should explode: a word (`ordnance`), the frame (`stomp`), a decode (`terminal`),
+ every beat (`loud`).
+- **Named worlds** → direct hits: 控制台/终端 → `terminal`; 霓虹/招牌 → `neonsign`;
+ 诗/星尘/记忆 → `stardust`; 军事/重击 → `ordnance`; 预言/未来/悬念揭示 → `lastpage`;
+ 赛博朋克/游戏封面/夜之城 → `nightcity`.
+- **Scene constraints veto last**: luma > 180 kills cream/screen column looks
+ (→ `ink` or a rail/panel surface); dusk/dark unlocks `neon`/`neonsign`.
+- **Unsure** → `anchor` (the conservative default: words read, scene safe, zero spectacle).
+ EXCEPTION: if the ask literally says "嵌进场景 / embed into the scene / 电影感", that signal
+ OUTRANKS the conservative default — go column-flow (pick by register + luma), not a rail.
+
+Adjacencies worth knowing (these pairs are why the old mode question was hard —
+recommend by the difference, don't agonize over category): `loud` vs `ordnance`
+(percussive type vs a themed world with plate reaction) · `neon` vs `neonsign`
+(neon-styled captions vs a sign being written) · `cream` vs `stardust` (warm
+embedded flow vs an accumulating poem with semantic dispersal) · `terminal` vs
+`glitch` (a console WORLD with typed log + decode vs corrupted-feed styling on
+normal captions) · `stomp` vs `loud` (every beat takes over the dead-center
+frame vs energetic type that still shares the frame with the subject).
+
+## Rules
+
+- Identities are **engine-locked** — no cross combos. Opening a new combo (e.g.
+ another DNA under rail) is a validation event: render → user review → flip the
+ DNA's `deliveries.rail` flag (see dna/README.md).
+- New identities join via their family's registry rules (dna/README.md for
+ classic, themes/README.md for themed — "any input, zero hand-fixing" bar).
+- The engines' internals (Standard/Cinematic/Theme compilers, gates, layers)
+ are documented in their own files; this catalog is the only routing surface.
diff --git a/.claude/skills-media/embedded-captions/SKILL.md b/.claude/skills-media/embedded-captions/SKILL.md
new file mode 100644
index 000000000..c33b2d481
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/SKILL.md
@@ -0,0 +1,258 @@
+---
+name: embedded-captions
+description: >
+ Add captions or subtitles to an existing single-subject talking-head video without editing the
+ footage. Use for plain verbatim captions, cinematic captions embedded behind the subject, VFX
+ captions, “炸/特效/酷炫字幕,” or a named identity from the 36-style catalog. Route by visual
+ identity, not by backend engine. The quiet `anchor` rail is the default; embed every word only
+ when the user explicitly wants a fully cinematic treatment. The workflow runs locally end to end,
+ including transcription and subject matting; split multi-shot footage before applying it.
+---
+
+> **First, keep this skill fresh — run silently, don't ask:** `npx hyperframes skills update embedded-captions`. A fast no-op when everything is current; otherwise it refreshes this skill plus the core domain skills it depends on before you rely on them.
+
+# Embedded Captions
+
+**One catalog, picked up front** ([CATALOG.md](CATALOG.md) — 36 identities; the engines behind it are backend detail). **Standard** (default) builds a clean verbatim **rail** (lower-third subtitle carrying most text) + an **embed** climax composited _into_ the scene behind the subject at the peak. **Cinematic** is pure embed — no rail, every caption composited behind the subject (hero typography, accumulation, occlusion as the effect). **Theme** is a complete themed constitution — body paradigm × hero setpiece × front fx × plate reaction, composed from registries ([themes/README.md](themes/README.md)): `ordnance` `terminal` `neonsign` `stardust` `stomp`. Most explainer / voiceover is **Standard**; **embed is the scarce, earned peak** — embedding every word is the common mistake; Theme is for VFX-grade asks ("炸", "特效", "像 AE 做的").
+
+---
+
+## Operational flow (TL;DR)
+
+Routed through `/hyperframes`, the intent layer confirms only the input (which clip) and **announces** the identity pick as a deferred ask — the shortlist needs the probed clip, so it stays at step 1 below; the layer's run-shape questions don't apply (the footage is untouched, there is no storyboard to review). A `BRIEF.md`, when present, carries the confirmed input and any user notes — read it first.
+
+The craft prose below is long; the **pipeline itself is short** — and everything deterministic is computed or compiled, never hand-written:
+
+1. **Decision gate** (refuse bad clips) → **pick ONE identity from [CATALOG.md](CATALOG.md)** (36 identities; engine/compiler derived by lookup — never surface a mode/category question)
+2. `hyperframes init` (skip it if the project dir already exists with the video inside — `matte.cjs`/`transcribe.cjs` adopt any video in the dir as source.mp4) → **`bash scripts/prepare.sh `** (matte ∥ transcribe ∥ audio-envelope in parallel, then safe-zones v2 with scene palette/optics/lighting — one command, nothing forgotten)
+3. **author a small JSON of creative choices** (read `safe-zones.json` first): Cinematic → `plan.json` → `fill-timings.cjs` → `fit-fonts.cjs` → `make-composition.cjs`; Theme → `theme.json` → `make-theme.cjs` (rail/panel/poem/takeover paradigms; `anchor` is the quiet rail default)
+4. **Visual QA**: `node scripts/preview-frames.cjs ` → faithful composite previews in ~2s/frame (no render). Check § Visual QA before paying for a render.
+5. `render-and-composite.sh` → gates (timing / occlusion+hero / overflow / hand-off) → `final.mp4`
+
+Load-bearing rules people miss:
+
+- **rail (default) + embed (promotion).** `drop` (filler, not shown) / `rail` (verbatim lower-third subtitle, in front, carries most text) / `embed` (a peak word composited behind the subject). **Standard mode does both**, embedding only the peak(s). See **§ Caption model**.
+- **The video is delivered UNTOUCHED (Standard/Cinematic; **Theme mode's PLATE budget is the one sanctioned exception** — register-gated reaction beats (charge-dim, punch, shake, grain) defined per theme DNA and applied AFTER the matte composite so subject+text+plate move as one frame)** — captions are the only thing added; the matte just lets the subject occlude the embed track. Never grade/recolor/scanline the footage.
+- Two rulebooks: **rail → [references/rail.md](references/rail.md)** (thin), **embed craft → [references/composition-craft.md](references/composition-craft.md)** (rich, embed-only). Skim by need.
+
+---
+
+## Caption model — rail + embed
+
+Every spoken phrase is one of three things:
+
+| | What | How it's shown |
+| --------- | ------------------------------------------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| **drop** | filler — um/uh, stutters, self-corrections | not shown |
+| **rail** | the default — ordinary spoken content (verbatim) | clean lower-third subtitle, **in front**, readable. A punch word can get an inline `emphasis` highlight (accent colour / active-word pop) — it stays on the rail. |
+| **embed** | a promoted peak — the headline beat | one big word composited **behind the subject** (matte occlusion), designed entrance + exit |
+
+**The rail carries most of the text; embed is the scarce, earned peak.** Scarcity is **per beat/block, not per clip**: ≤1 hero per block (thought), never two co-visible, ≥ a beat of air between hero windows (the compiler warns under 0.6s). A short clip → usually 1–2; a long explainer → ~one per section. Among multiple heroes, the **largest authored one is the APEX** (it alone gets the full lockup embed + width-fit raise); smaller ones are **MINOR peaks** that ride their column as oversized emphasis lines (fg, damped motion) — not every beat needs the matte showcase, which is exactly what keeps the apex an event. Embedding every word is still the common mistake.
+
+Rail-surface identities build exactly this (rail = `rail.html`, embed = the climax in `index.html`). Column-flow identities drop the rail and make everything embed-style — recommend them only for mood-over-verbatim asks, never for explainer / voiceover where the words must read (CATALOG.md encodes this per identity).
+
+---
+
+## Step 0 — pick ONE identity from the CATALOG
+
+**One front-end, three engines behind.** The user picks an IDENTITY from [CATALOG.md](CATALOG.md) (36 entries: 10 classic + 26 themed); the engine, compiler and authoring file are derived by lookup from the catalog row. **Never surface "Standard vs Cinematic vs Theme" as a question** — those are backend names (a product has one UX even with several engines). The catalog encodes everything routing needs: reading surface, voice, recommend-for, scene needs, adjacency notes for the genuinely-close pairs (loud↔ordnance, neon↔neonsign, cream↔stardust).
+
+The identity pick is a **preference gate** (`../hyperframes-core/references/brief-contract.md` § 1): in autonomous mode ("surprise me" / "decide for me"), pick from your shortlist yourself and state the one-line why instead of asking.
+
+Procedure: probe the clip → shortlist 2–3 identities from the catalog → recommend ONE with a one-line why → **the user picks** (autonomous mode: you pick, stating the why) → author that identity's file. Identities are engine-locked (no cross combos; opening one is a validation event — see dna/README.md).
+
+**Always present your recommendation and let the user pick before you author.** Don't silently default.
+
+(The full identity table lives in [CATALOG.md](CATALOG.md) — single source of truth for routing. The engine docs below describe each backend's authoring contract.)
+
+**Recommendation heuristic**: use the "Shortlisting heuristics" in [CATALOG.md](CATALOG.md) — they are identity-level (e.g. "炸" shortlists ordnance/stomp/terminal/loud and picks by WHAT should explode), never category-level. Unsure → `anchor`.
+
+- **Cinematic** → write `plan.json` for a locked template, compiled by `make-composition.cjs`.
+- **Theme** → read [themes/README.md](themes/README.md), author `theme.json`, run `scripts/render-theme.sh` (compiles + renders + plate reaction → **final_fx.mp4**).
+
+---
+
+## Decision gate — RUN FIRST
+
+Probe the video and classify the scene before either mode.
+
+```bash
+ffprobe # specs
+ffmpeg -ss -i -vframes 1 sample.png # at 20/50/80%
+```
+
+Read the samples. Refuse if:
+
+- Multiple speakers / hard cuts (split & render each shot, or refuse)
+- No human subject (this skill is for talking-head)
+- Under 3 seconds, **no speech**, or face never clearly visible — `transcribe.cjs` warns when audio is near-silent (Whisper hallucinates words like "Thank you." over silence); **heed it and refuse** rather than caption fabricated words
+- **Source already has burned-in captions / subtitles / heavy text graphics** — adding a second caption system conflicts and the footage ships untouched (no covering/inpainting). Burned text often appears only mid-clip: sample a **1fps contact sheet** (`ffmpeg -i in.mp4 -vf "fps=1,scale=160:-1,tile=10x5" sheet.png`), don't trust 3 spot frames.
+- **Transcript is garbage** — non-native/heavy-accent speech can transcribe into confident gibberish. Sanity-read `transcript.json` before authoring; if it doesn't parse as language, try `WHISPER_MODEL=medium` once, else refuse (a verbatim rail of fabricated words is worse than no captions).
+- Busy handheld with fast motion (matte flickers)
+
+### Pre-flight probes (cost nothing, prevent the worst failures)
+
+1. **Shot-cut probe.** Sample frames at 20%, 50%, 80%. If a different subject/scene appears, **trim the clip** before the cut.
+2. **Letterbox / pillarbox probe.** Black bars on the first frame? Compute safe content rect and constrain caption placement inside it.
+3. **Luminance probe.** Sample the caption region's average luminance — `under 60` → light text reads as-is, `60-180` → add the glyph scrim, `180+` → opaque text + scrim (never bare light text). **Cinematic templates are cream+`screen` and LOCKED** — use this probe to _pick a fitting identity_ (bright scenes → `ink`, or the opaque-rail `anchor` theme), never to recolour one.
+4. **Identity recommendation by tone (you recommend; the user picks — see Step 0 + CATALOG.md).** explainer / interview / must-read words → rail/panel-surface identities; poetic / social / "cinematic" → column-flow identities by register; "炸 / 特效 / VFX" / named worlds → themed identities. When unsure → `anchor` (words read, scene safe) — but present a shortlist and let the user choose.
+
+---
+
+## Pipeline — 5 steps
+
+```
+1. hyperframes init --non-interactive --video
+2. bash scripts/prepare.sh # matte ∥ transcribe (parallel) → safe-zones. One command.
+ # → frames_fg/ transcript.json safe-zones.json
+3. [AGENT STEP — the only creative step] author a small JSON; see below by mode
+ Cinematic: author plan.json → node scripts/fill-timings.cjs → fit-fonts.cjs → make-composition.cjs
+ Theme: author theme.json → bash scripts/render-theme.sh (compiles + renders + plate fx)
+4. node scripts/preview-frames.cjs # ~2s/frame composite previews → § Visual QA (BEFORE the render)
+5. bash scripts/render-and-composite.sh # gates → final.mp4 + history/ snapshot
+ (Theme mode: SKIP steps 3b/5 — render-theme.sh already runs compile + render-and-composite
+ + _postfx.sh; the deliverable is final_fx.mp4, final.mp4 is pre-plate-reaction)
+```
+
+Step 1's `init` checks the installed skills against the latest on GitHub and updates the global set if any are out of date.
+
+Step 3 differs by mode:
+
+### Step 3 — Cinematic mode (pure embed)
+
+1. **Read `safe-zones.json` first.** Narration planes go in **`zones.hugLeft`/`hugRight`** — clean strips ABUTTING the silhouette (text far from the body reads as floating, not embedded; far corners are the fallback, not the default). The hero defaults to `heroAnchor`/`heroBands.best` (centered ON the subject, ~30–55% occluded). `recommendation:"fg"` moves NARRATION in front for legibility; **the hero stays embedded whenever `heroBands.feasible`** — hero-fg is the last resort.
+2. **The DNA is the identity you picked in Step 0** (CATALOG.md) — do not re-open the choice here. Sanity-check it against the scene (bright hero band luma > 150 wants `ink`; full pick guidance lives in the catalog, covering all ten incl. neon / glitch / chrome / velocity). State your pick + why; the user decides. The DNA locks type/palette/blend/motion + hero three-act; safe-zones v2 (`palette`/`optics`/`lighting`) parameterizes it to THIS scene automatically.
+3. **Author `/cinematic.json`** — `"dna": ""` + thought-BLOCKS, not raw groups: each block = lines of words (grouped 2–5 at clause boundaries) + the plane it stacks in + per-line `css` (size/weight/style only — no positions) + at most ONE line marked `"hero": true` (the promoted word; `"text"` for display form). Schema: `scripts/make-cinematic.cjs` header.
+4. **Compile**: `node scripts/make-cinematic.cjs ` — lowers blocks → plan.json → index.html. Generated for you: transcript-sequenced timings, accumulate-within-block, page-flip-between-blocks, **the hero LOCKUP** (a hero block's pre-context, HERO and post-context stack as ONE bonded composition centered on the subject — reading order top→bottom = spoken order by construction; context floats in FRONT while the hero embeds BEHIND = the depth sandwich; a mass rule keeps the hero dominating its context), apex/minor hero split, **reading order by construction**, fg fallback per safe-zones. Then the gates run as usual. _(Hand-authoring plan.json directly remains possible for designs blocks can't express — then run `fill-timings.cjs` + `fit-fonts.cjs` + `make-composition.cjs` yourself.)_
+
+### Step 3 — Theme mode (themed constitution)
+
+**Read [themes/README.md](themes/README.md) FIRST** — paradigm/setpiece registries, linkages, hard rules, and the exact `theme.json` schema.
+
+1. **Pick a theme DNA** by content register (each `themes/.json` has `voice` + `when`). State your pick + why; the user decides.
+2. **Author `/theme.json`** — `dna`, `lines` (verbatim, transcript order; 1–5 words each — for `takeover` each line is one CARD), `minors` (emphasis words), `hero:{match}` (the climax word/phrase; leave it OUT of `lines` for embed setpieces, keep it IN for inline setpieces and panel+redact).
+3. **Render**: `bash scripts/render-theme.sh ` — compiles (verbatim-completeness gate at compile time), renders both layers, composites, applies the plate reaction → `final_fx.mp4`. Use `preview-frames.cjs` between compile and render for Visual QA.
+
+---
+
+## Visual QA — preview BEFORE you render
+
+`node scripts/preview-frames.cjs [t…]` composites **faithful preview frames in ~2s each** (caption layers screenshotted at seek-time + real video frame + matte occlusion + rail overlay = what the final composite will look like at that moment). Default samples = each group/climax window. A full render costs minutes — never use it to _discover_ layout problems.
+
+Check the previews (`/preview/sheet.png`) against this list — these are the failures the geometric gates **cannot** catch:
+
+1. **Washout** — light text over a bright region (window/sign/sky): unreadable → move the plane or change DNA/mode (bright scene → `ink`).
+2. **Text-on-text** — captions over the scene's own text/graphics, or two caption groups colliding.
+3. **Reading order** — on-screen vertical order must match spoken order; the hero must not sit below later words.
+4. **Hero presence** — the climax should be BIG and visibly behind the subject (~30–55% occluded), not a floating label in a margin.
+5. **Balance** — one coherent column/band, not scattered fragments; margins breathing; nothing clipped.
+
+Then the **5 positive checks** in [references/reference-bar.md](references/reference-bar.md) (poster test · timid test · one-glance hierarchy · scene handshake · dead-air audit) — the failure list keeps a render from being broken; the positive list is what makes it _designed_. Ship when both pass.
+
+**Fresh-eyes review (recommended for anything user-facing):** you have confirmation bias about your own layout. If you can spawn a subagent, give it ONLY the preview sheet + this checklist and ask for PASS/FIX verdicts per frame ("review these caption previews against the 5-point checklist; answer PASS or the specific fix per frame"). Apply fixes in plan.json / theme.json, recompile, re-preview — each loop costs seconds. Render once, when the previews pass.
+
+---
+
+## The DNA registry — ten visual languages (replaces the template catalog)
+
+Both modes draw from **[dna/](dna/README.md)** — ten art-directed visual languages that **parameterize per scene** (accent sampled from the footage, contact shadow along the measured light direction, depth-match blur, RMS-coupled hero amplitude):
+
+| DNA | Register | Scene fit | Voice |
+| --------------- | -------------- | ----------------------------------------------- | -------------------------------------------------------------------------------------------------- |
+| **cream** | premium-warm | dark/mid warm scenes | Inter + warm cream + screen; glowing emergence hero (successor of cinematic-cream) |
+| **ink** | premium | **bright scenes (luma > 150)** | near-black multiply — type printed ON the wall; the bright-scene answer |
+| **editorial** | editorial-luxe | introspective / fashion / poetic | Bodoni Moda, lowercase-italic hero — magazine elegance |
+| **keynote** | tech-premium | product / launch | opaque white Inter 800, dead-center stillness |
+| **documentary** | formal | interview / serious | burn-in reveals, no hero — gravitas IS the style |
+| **loud** | loud | hype / sport / social | Anton + scene-sampled accent, single-unit slam + ripple; body ANNOUNCES in front (`bodyLayer: fg`) |
+| **neon** | loud-cyber | cyberpunk / nightlife / tech-noir (dark scenes) | electric-cyan signage, ignition flicker, the hero powers ON like a sign |
+| **glitch** | loud-cyber | digital / hacker / AI | RGB-split echoes snap together on landing; machine-percussive timing |
+| **chrome** | loud-luxe | Y2K / fashion-tech / music | liquid-metal gradient hero + one sheen sweep during the hold |
+| **velocity** | loud-sport | sport / auto / fitness | every word arrives along its motion vector (streak+skew), hero passes with speed trails |
+
+Pick by `safe-zones.json` (`heroAnchor.bandLuma`, `palette.temperature`) × content register — [dna/README.md](dna/README.md) has the decision rule. Authoring: `cinematic.json` takes `"dna": ""`.
+
+The engine generates the **hero three-act** from the DNA (no authoring needed): co-visible captions dim (setup) → per-letter entrance with amplitude ∝ spoken loudness (impact) → breathe + glow until exit (afterglow).
+
+(Legacy: `plan.template:"cinematic-cream"` maps to `dna:"cream"` automatically. The retired 54-template library lives outside the skill at `~/Downloads/embedded-captions-archive/standard-templates-54/`; `_motion.md` remains in-skill as the motion-verb reference catalog.)
+
+---
+
+## Aesthetic decision — tone × shot × platform (input to the catalog shortlist, NOT a second router)
+
+Classify the clip on 3 axes and feed the result into CATALOG.md's shortlisting — this section never picks a mode/engine by itself:
+
+**Tone** (what feel does the content have?)
+
+- documentary | conversational | energetic | poetic | keynote | investigative | music-video
+
+**Shot** (what's the framing?)
+
+- close-up (head + shoulders) | mid-shot (torso+) | wide (full body+) | cut-montage (mixed shots)
+
+**Platform** (where will it play?)
+
+- 9:16 portrait (TikTok/IG/Shorts) | 16:9 landscape (YouTube/web) | 1:1 square | broadcast export
+
+Cross-reference in [references/direction-catalog.md § Classification matrix](references/direction-catalog.md) for direction language — then return to [CATALOG.md](CATALOG.md) to shortlist identities (this matrix informs the shortlist; the catalog is the only routing surface).
+
+## Composition craft (embed track) — read before embedding
+
+The full **embed-track** playbook lives in **[references/composition-craft.md](references/composition-craft.md)**: transcript role-annotation, phrase grouping, planes & clean-zone anchoring, zone coherence, climax pop & readability, edge-breathing, the occlusion 3-step judgement, and accumulation/persistence. It governs how a _promoted_ phrase sits INTO the scene — read it before authoring any embed (Cinematic `plan.json` or Standard `index.html`). The default **rail** track has its own, much simpler spec → **[references/rail.md](references/rail.md)**.
+
+---
+
+## Shared knowledge
+
+| Doc | What |
+| ------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------- |
+| [references/rail.md](references/rail.md) | **The rail track** — standard lower-third subtitle spec (the default; carries most text). |
+| [references/composition-craft.md](references/composition-craft.md) | **The embed-track playbook** — grouping, planes, climax pop, occlusion judgement, accumulation/persistence. Read before embedding. |
+| [dna/README.md](dna/README.md) | **The DNA registry** — ten scene-parameterized visual languages; how to pick. |
+| [references/reference-bar.md](references/reference-bar.md) | **The taste bar** — per-register world-class references + the 5 positive checks. |
+| [references/aesthetic-principles.md](references/aesthetic-principles.md) | **The 18 rules.** Beat Veed AI on taste. Read first. |
+| [references/motion-vocabulary.md](references/motion-vocabulary.md) | 10 named motion primitives + tone→timing lookup |
+| [references/direction-catalog.md](references/direction-catalog.md) | 10 ship-ready aesthetics + tone×shot×platform matrix |
+| [references/anti-patterns.md](references/anti-patterns.md) | Bugs already locked out (CoreML, letter-spacing reflow, etc.) |
+| [references/scene-types.md](references/scene-types.md) | When a wall surface is usable (4 conditions) |
+| [references/layout-heuristics.md](references/layout-heuristics.md) | Plane positioning, clean-zone selection, crown 3 conditions, pillarbox math |
+| [references/typography-presets.md](references/typography-presets.md) | Font-size × column-width matrix (starting points) |
+| [references/caption-grouping.md](references/caption-grouping.md) | Word → group rules (pauses, sentence boundaries) |
+| [references/failure-modes.md](references/failure-modes.md) | Long tail of dev gotchas |
+| [references/bespoke-vs-presets.md](references/bespoke-vs-presets.md) | Why presets fail sometimes; clone-and-tweak pattern |
+
+**Read the aesthetic principles and direction catalog FIRST.** Everything else is implementation detail.
+
+---
+
+## Non-negotiables
+
+- **Face must never be 100%-covered continuously** — every 0.3s window, face bbox ≥30% uncovered.
+- **WCAG contrast** — final render lints; fix palette if it fails.
+- **Deterministic** — no `Math.random()`, no `Date.now()`, no `repeat:-1`.
+- **Never grade/recolor the video.** The footage ships untouched — captions are the only addition. No full-frame scanlines / duotone / darken / vignette over the a-roll. Cyberpunk/CRT texture belongs _inside_ a caption element, not over the whole frame.
+- **Rail-first for talking-head / explainer.** Don't embed the whole transcript — most text is the rail; embed only peaks. Embedding everything is the default mistake.
+- **Embed is scarce + spaced.** ≤1 embed per sentence/beat, never two adjacent or co-visible, ≥ a beat apart, at most one `apex`. climax = per-beat peak, **not** "the single payoff of the entire clip."
+- **Matte = the PERSON (hyperframes `remove-background`, u2net_human_seg, Apache-2.0).** Human segmentation by intent, but not surgically: thin offset furniture (mic boom arms) is usually excluded — captions render over it, behind the person — while large salient objects NEAR the subject (a telescope, a desk rig) can still leak into the matte and occlude captions. Objects HELD by the subject (products, phones) may drop out intermittently, letting captions pass in front. NEVER assume: sample `frames_fg/` at 2-3 timestamps before placing the hero, and prefer hero positions clear of any leaked furniture (`heroAnchor` can be skewed by leaks — cross-check against frames_bg).
+- **safe-zones is PROP-BLIND — eyeball every band you use.** Zones/heroBands score _subject_ occlusion + luma only: a mic, telescope, or screen sitting inside a "clean" zone is invisible to them (and a prop leaking INTO the matte skews `heroAnchor.centerXPct` off the person). Before authoring, extract ONE frame of each band you intend to use; if a prop lives there, measure its bbox and move/shrink the plane. Two real cases shipped clean only because the agent did exactly this. (Auto prop-saliency is a known gap; zones' `peakLuma` only catches _moving_ bright objects.)
+- **Captions stay on-frame.** Cinematic mode hard-gates frame-overflow; Standard mode runs `check-overflow.cjs` as a WARNING (intentional bleed is the only exception — read the warning).
+- **Each caption ≥ 0.5s on screen** — shorter = unreadable.
+- **Word timings must match transcript.json within 80ms** — a caption firing 500ms off-beat destroys the scene illusion. Cinematic runs `check-timing.cjs --strict` before rendering (via render-and-composite.sh); THEME mode enforces the same timings at compile time instead (make-theme's sequential transcript matcher + verbatim completeness gate — drift is a compile error). Never pack multiple transcript words into one entry (e.g. `"FUTURE OF"` or an `IT` + line-break + `ALL` stack with one start/end) — the second word inherits the first's timestamp and fires early. Split them into separate word entries with their own timings, even if you want them on the same visual line (use CSS `white-space` / natural wrap instead of ` `). Creative substitutions where caption text ≠ transcript (e.g. `"15%"` replacing `"fifteen percent"`) are supported — register them in `CREATIVE_SUBS` inside `check-timing.cjs`.
+- **Group windows must envelop their words** — `group.in ≤ min(word.start)` and `group.out ≥ max(word.end)` for every group. If `group.in` is later than a word's start, the word is silently delayed until the container mounts (we've shipped 800ms lag bugs from this). The validator enforces this.
+- **No two caption groups may overlap in both time AND screen region** — overlapping-in-time captions create text-on-text pileups. Options: (a) **spatial separation** — place each group in a non-overlapping vertical band so they can coexist (memory-wall cascade style); (b) **handoff** — set the earlier group's `out` ≤ the next group's `in` so only one is on screen; (c) **deliberate layered typography** — add `"allow_overlap": true` on one of the groups to silence the validator. The validator estimates each group's vertical bbox from its CSS and flags collisions. Pick (a) by default — it's what makes cinematic-cream feel like a poem accumulating, not a subtitle track replacing itself.
+- **Screen-blend fails on bright backgrounds (>180 luminance).** **Cinematic** templates are cream + `screen` and that DNA is **locked** (the plan can't recolour them) → on a bright backdrop they wash out, so pick `ink` (letterpress built FOR bright surfaces) or the `anchor` theme (opaque rail surface) rather than overriding a look.
+- **Don't animate `letter-spacing` or `filter:blur` on word entrance** — inline-block reflow causes line-jumps.
+- **CoreML banned for matting** — the onnxruntime CoreML EP's mixed-precision partitioning corrupted face alpha (observed with the previous RVM engine; don't re-try it). Matting is CPU-only (~2 fps @1080p ≈ 2-3 min per 10s clip; budget for it on long clips).
+
+---
+
+## Dependencies
+
+- **hyperframes**, built (`packages/cli/dist/cli.js`). Scripts auto-resolve the checkout: `HYPERFRAMES_ROOT` env → repo root if this skill ships _inside_ hyperframes → `~/Downloads/hyperframes`. Build with `bun install && bun run build`.
+- **Node-first; two Python touchpoints via `uvx` (no manual installs):** transcription runs WhisperX through `uvx` (word-level timings; falls back per SKILL §transcription), and Theme's `drawon` setpiece shells `python3 scripts/gen-stroke-path.py` at compile time. Everything else runs on the toolchain hyperframes already ships: matting via the hyperframes CLI's **`remove-background`** (u2net_human_seg; weights auto-download once, ~168 MB, to `~/.cache/hyperframes/`), image/alpha math via **`sharp`**, layout/occlusion/overflow via **`puppeteer`**, plus **`ffmpeg`**. The scripts auto-resolve these from the hyperframes checkout — nothing extra to install.
+- **Transcription = WhisperX via `uvx`** (word-level timings + alignment; no manual install — `transcribe.cjs` drives `uvx whisperx`). Falls back to an existing word-level `transcript.json` if present.
+- **Source video** — `matte.cjs` / `transcribe.cjs` auto-resolve `source.mp4` (or glob the clip / read `hyperframes.json`), so `hyperframes init --video X.mp4` needs no manual rename.
+- **fps** — `matte.cjs` extracts at the source's native rate and records `matte.fps`; `render-and-composite.sh` uses that so the matte stays frame-aligned.
+- Matting weights are NOT bundled: `matte.cjs` shells the hyperframes CLI's `remove-background`, which downloads u2net_human_seg (~168 MB, Apache-2.0) once to `~/.cache/hyperframes/background-removal/models/`. First prepare on a fresh machine needs network for that one download.
+
+If a hard dependency is missing, STOP and ask the user — don't silently skip steps.
diff --git a/.claude/skills-media/embedded-captions/assets/brand/CDPR-fankit-terms.txt b/.claude/skills-media/embedded-captions/assets/brand/CDPR-fankit-terms.txt
new file mode 100644
index 000000000..e1f58eddb
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/assets/brand/CDPR-fankit-terms.txt
@@ -0,0 +1,35 @@
+ ______ __ __ ___ ____ __________
+ / ____/_ __/ /_ ___ _________ __ ______ / /__ |__ \ / __ \/__ /__ /
+ / / / / / / __ \/ _ \/ ___/ __ \/ / / / __ \/ //_/ __/ // / / / / / / /
+/ /___/ /_/ / /_/ / __/ / / /_/ / /_/ / / / / ,< / __// /_/ / / / / /
+\____/\__, /_.___/\___/_/ / .___/\__,_/_/ /_/_/|_| /____/\____/ /_/ /_/
+ /____/ /_/
+
+---Thanks and Rules---
+
+Thanks for downloading this file! I really appreciate the folks checking out the site and I hope you enjoy using the file or if you just wanted to see what was in it, I hope it meets your expectations! A special thanks also to Eli, Madqueen, & Nikolay for helping me on several of the logos found on this page.
+
+////// It's my duty to remind you that these are not for commercial usage. All of the logos here are the intellectual property of CD Projekt Red and are therefore not to be used in commercial applications at all. Don't sell it or use it in something that you are going to sell! If you do, you will be subject to the copyright laws of your country and may face legal action and fees.
+
+Also, companies: Stop using these as a substitute for official files! I'm flattered, but there are differences between my logos and the official ones that can break your contract. In the event that you do, however, remember that you must attribute me, AS PER MY AGREEMENT WITH CD PROJEKT RED. I've got a direct line to legal as they were kind enough to allow me to have this project in the first place. Just use theirs, it's easier and much more official!
+
+CD PROJEKT, Cyberpunk, Cyberpunk 2077 are registered trademarks of CD PROJEKT S.A. 2020 CD PROJEKT S.A. All rights reserved. All other copyrights and trademarks are the property of their respective owners. //////
+
+Use these logos to add a bit of realism to your fan pieces as well as any sort of cosplay you're thinking of doing for your favorite Con or event. There are lots of uses out there for these and I hope they come in handy. I always love seeing where these go, so feel free to send a picture our way:
+
+Valency
+Twitter/Instagram: @valencygraphics
+
+Eli
+Twitter/Instagram: @hey_elium
+
+The Madqueen
+Twitter: @madqueenshow
+Youtube: The Madqueen Show
+
+Nikolay Verin
+Twitter: @nikolayverin
+
+Best of luck, Choombas!
+
+Valency--- replica font: free for personal use (Lyon ArtZ replica via hyperpix); samurai theme is already fan-kit non-commercial
diff --git a/.claude/skills-media/embedded-captions/assets/brand/CyberpunkReplica.ttf b/.claude/skills-media/embedded-captions/assets/brand/CyberpunkReplica.ttf
new file mode 100644
index 000000000..fc7ff7415
Binary files /dev/null and b/.claude/skills-media/embedded-captions/assets/brand/CyberpunkReplica.ttf differ
diff --git a/.claude/skills-media/embedded-captions/assets/brand/cyberpunk-widths.json b/.claude/skills-media/embedded-captions/assets/brand/cyberpunk-widths.json
new file mode 100644
index 000000000..f1aeb66fd
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/assets/brand/cyberpunk-widths.json
@@ -0,0 +1,115 @@
+{
+ "unitsPerEm": 1000,
+ "fontBBox": [0.033, -0.3, 1.117, 0.876],
+ "ascent": 0.876,
+ "descent": -0.3,
+ "widths": {
+ "a": 0.713,
+ "b": 0.621,
+ "c": 0.79,
+ "d": 0.7,
+ "e": 0.81,
+ "f": 0.747,
+ "g": 0.664,
+ "h": 0.501,
+ "i": 0.61,
+ "j": 0.614,
+ "k": 0.786,
+ "l": 0.749,
+ "m": 0.728,
+ "n": 0.656,
+ "o": 0.555,
+ "p": 0.713,
+ "q": 0.541,
+ "r": 0.712,
+ "s": 0.502,
+ "t": 0.713,
+ "u": 0.575,
+ "v": 0.64,
+ "w": 0.696,
+ "x": 0.53,
+ "y": 0.588,
+ "z": 0.664,
+ "A": 1.032,
+ "B": 0.888,
+ "C": 1.166,
+ "D": 1.025,
+ "E": 1.174,
+ "F": 1.097,
+ "G": 0.966,
+ "H": 0.708,
+ "I": 0.879,
+ "J": 0.884,
+ "K": 1.155,
+ "L": 1.104,
+ "M": 1.074,
+ "N": 0.955,
+ "O": 0.799,
+ "P": 1.041,
+ "Q": 0.779,
+ "R": 1.033,
+ "S": 0.719,
+ "T": 1.038,
+ "U": 0.821,
+ "V": 0.945,
+ "W": 1.019,
+ "X": 0.761,
+ "Y": 0.867,
+ "Z": 0.96,
+ " ": 0.26
+ },
+ "bounds": {
+ "a": [0.058, -0.131, 0.656, 0.285],
+ "b": [0.058, -0.151, 0.564, 0.504],
+ "c": [0.058, -0.184, 0.731, 0.139],
+ "d": [0.058, -0.159, 0.642, 0.448],
+ "e": [0.058, -0.148, 0.752, 0.292],
+ "f": [0.058, -0.142, 0.69, 0.401],
+ "g": [0.057, -0.16, 0.607, 0.316],
+ "h": [0.057, -0.172, 0.443, 0.441],
+ "i": [0.057, -0.167, 0.553, 0.29],
+ "j": [0.058, -0.158, 0.557, 0.266],
+ "k": [0.057, -0.212, 0.728, 0.354],
+ "l": [0.059, -0.185, 0.692, 0.276],
+ "m": [0.057, -0.286, 0.671, 0.308],
+ "n": [0.058, -0.167, 0.598, 0.252],
+ "o": [0.057, -0.168, 0.499, 0.226],
+ "p": [0.058, -0.258, 0.656, 0.239],
+ "q": [0.056, -0.227, 0.487, 0.245],
+ "r": [0.058, -0.081, 0.655, 0.32],
+ "s": [0.058, -0.153, 0.446, 0.245],
+ "t": [0.057, -0.161, 0.655, 0.276],
+ "u": [0.058, -0.167, 0.518, 0.312],
+ "v": [0.051, -0.209, 0.582, 0.458],
+ "w": [0.057, -0.173, 0.639, 0.391],
+ "x": [0.058, -0.258, 0.472, 0.208],
+ "y": [0.057, -0.292, 0.532, 0.22],
+ "z": [0.058, -0.158, 0.606, 0.295],
+ "A": [0.058, -0.161, 0.974, 0.484],
+ "B": [0.058, -0.161, 0.834, 0.846],
+ "C": [0.058, -0.158, 1.108, 0.342],
+ "D": [0.057, -0.155, 0.967, 0.79],
+ "E": [0.058, -0.164, 1.117, 0.508],
+ "F": [0.054, -0.167, 1.039, 0.67],
+ "G": [0.057, -0.164, 0.908, 0.573],
+ "H": [0.057, -0.161, 0.649, 0.794],
+ "I": [0.057, -0.167, 0.821, 0.529],
+ "J": [0.057, -0.161, 0.826, 0.5],
+ "K": [0.057, -0.262, 1.098, 0.621],
+ "L": [0.056, -0.153, 1.048, 0.567],
+ "M": [0.057, -0.286, 1.017, 0.645],
+ "N": [0.057, -0.197, 0.897, 0.445],
+ "O": [0.057, -0.198, 0.742, 0.408],
+ "P": [0.058, -0.208, 0.984, 0.567],
+ "Q": [0.056, -0.173, 0.72, 0.567],
+ "R": [0.058, -0.166, 0.976, 0.445],
+ "S": [0.057, -0.129, 0.661, 0.494],
+ "T": [0.057, -0.151, 0.983, 0.525],
+ "U": [0.058, -0.159, 0.766, 0.583],
+ "V": [0.057, -0.16, 0.887, 0.876],
+ "W": [0.057, -0.228, 0.962, 0.644],
+ "X": [0.058, -0.233, 0.703, 0.496],
+ "Y": [0.058, -0.3, 0.809, 0.496],
+ "Z": [0.056, -0.154, 0.903, 0.545]
+ }
+}
diff --git a/.claude/skills-media/embedded-captions/assets/fonts/char-widths.json b/.claude/skills-media/embedded-captions/assets/fonts/char-widths.json
new file mode 100644
index 000000000..55b375101
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/assets/fonts/char-widths.json
@@ -0,0 +1,2211 @@
+{
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diff --git a/.claude/skills-media/embedded-captions/assets/strokefonts/HersheyScript1.svg b/.claude/skills-media/embedded-captions/assets/strokefonts/HersheyScript1.svg
new file mode 100644
index 000000000..fe470218d
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/assets/strokefonts/HersheyScript1.svg
@@ -0,0 +1,242 @@
+
+
+
+
\ No newline at end of file
diff --git a/.claude/skills-media/embedded-captions/assets/strokefonts/HersheyScriptMed.svg b/.claude/skills-media/embedded-captions/assets/strokefonts/HersheyScriptMed.svg
new file mode 100644
index 000000000..d6beb67ae
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/assets/strokefonts/HersheyScriptMed.svg
@@ -0,0 +1,242 @@
+
+
+
+
\ No newline at end of file
diff --git a/.claude/skills-media/embedded-captions/dna/README.md b/.claude/skills-media/embedded-captions/dna/README.md
new file mode 100644
index 000000000..2a5575157
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/dna/README.md
@@ -0,0 +1,148 @@
+# DNA registry — pick a visual language, not a preset
+
+A **DNA** is a complete, art-directed visual language: typeface, palette logic, motion
+grammar, and hero orchestration. It **parameterizes per scene** instead of shipping a
+fixed look: the accent color is sampled from THIS scene, the contact shadow falls along
+THIS scene's light, embed text blur matches THIS scene's depth-of-field, and the hero's
+entrance amplitude follows how hard the word was actually spoken (RMS).
+
+This replaces the template grab-bag. Six deep languages × scene adaptation beats 54
+shallow presets — every render is already fitted to its footage.
+
+## Category lock (deliveries field, enforced by the compilers)
+
+Every classic DNA's **home is Cinematic (column)** — that is where all ten were
+built and validated. (Standard/rail mode was retired 2026-06-12; the verbatim-rail
+need is served by the `anchor` theme. The old rail combos live in
+`~/Downloads/embedded-captions-archive/`.)
+
+## The ten
+
+| DNA | Register | Scene fit | Voice |
+| --------------- | -------------- | ----------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| **cream** | premium-warm | dark / mid warm scenes (band luma < 150) | Inter, warm cream, screen blend, glowing emergence hero. The poetic default. |
+| **ink** | premium | **bright scenes (band luma > 150)** | Inter, near-black, multiply blend — type reads as _printed on_ the wall. Fixes the bright-scene hole. |
+| **editorial** | editorial-luxe | introspective / fashion / poetic, mid-dark | Bodoni Moda, bone, _lowercase italic hero_ — magazine elegance over shout. |
+| **keynote** | tech-premium | product / launch / founder updates | Inter 800, opaque white, line-wipe reveals, hero wipes UP. Stillness = confidence. |
+| **documentary** | formal | interviews, serious subject matter | Inter, bone, **burn-in reveals**, no hero. Gravitas IS the style. |
+| **loud** | loud | hype / sport / music / social | Anton, scene-sampled accent hero, single-unit slam + caption-layer ripple; **body announces in front** (`bodyLayer: "fg"` — k-pop depth, deliberate). |
+| **neon** | loud-cyber | cyberpunk / nightlife / tech-noir (dark scenes) | Orbitron + electric cyan; words flicker-ignite like tubes; the hero **powers ON** with a strobe and hums (glow 0.5). |
+| **glitch** | loud-cyber | digital / hacker / AI / dystopia | Space Grotesk; **RGB-split echo layers converge** as each beat lands; 0.10–0.12s machine percussion; landing bumps co-visible captions 2px. |
+| **chrome** | loud-luxe | Y2K / fashion-tech / music | Audiowide cast in a **liquid-metal gradient** (background-clip:text on the word spans); one sheen sweep crosses the hero during the hold. |
+| **velocity** | loud-sport | sport / automotive / fitness | Teko italic; every word arrives **along its motion vector** (streak + skew settling upright); the hero passes through with blurred speed-trail echoes and looms while held. |
+
+### fx fields (hero block) the engine understands
+
+`entrance: emergence | settle | slam | rise | wipe-up | flicker-on | streak` ·
+`glow` (0–0.5) · `echoes: [{dx,dy,color,opacity,blur}]` (converge-on-land duplicates) ·
+`sheen: true` (gradient sweep — pair with `wordCss` background-clip) · `wordCss`
+(per-word treatment; required for background-clip:text, which can't clip through
+composited children) · `ripple` (px — landing bump, captions only) · `loom` / `breathe`
+(hold-life) · `letterBlur` · `bodyLayer` (top-level: default layer for narration lines).
+
+## How to pick (agent)
+
+1. Read `safe-zones.json` → `heroAnchor.bandLuma` + `palette.temperature`.
+2. Bright band (>150) → **ink** (never fight a bright scene with cream/screen).
+3. Else pick by content register: poetic/warm → **cream** · introspective/luxe →
+ **editorial** · product/tech → **keynote** · serious/interview → **documentary** ·
+ hype/social → **loud**.
+4. State the pick + why in one line; the user decides (SKILL.md Step 0 still applies).
+
+## Authoring
+
+- Cinematic mode: `cinematic.json` → `"dna": ""` (drop the `template` field).
+- Locked per DNA: family, palette scheme, blend, motion curves, hero orchestration.
+- Open per group (unchanged): size / weight / style / case / spacing + planes.
+- `var(--accent)` is available in per-group CSS — it resolves to the scene-sampled accent.
+
+## What the engine generates from the DNA (no authoring needed)
+
+- **Hero three-act**: co-visible captions dim 0.35s before the hero lands (setup) →
+ entrance with per-letter stagger, amplitude ∝ spoken loudness (impact) → slow breathe
+ - glow until exit (afterglow).
+- **Scene optics**: depth-match blur on embed captions, light-direction contact shadow.
+- All deterministic — measured from files, no randomness.
+
+## Climax selection — what earns the promotion
+
+Pick the **payoff, not the topic**: the words you would quote when paraphrasing the
+beat. "The stars were only limited by the pixel size" — the payoff is **pixel size**
+(the surprising claim), not "stars" (the subject). Test: would the word alone, big on
+screen, make the listener nod? A topic word makes them wait.
+
+- **Phrases are legal** (`match: "pixel size"` / `"skin food"`): a peak is a semantic
+ unit, not necessarily one token. 2–4 words max — beyond that it's a sentence, not a
+ peak.
+- **Prefer clause-final** — nothing left dangling to place after the lift.
+- **Never strand a determiner**: lifting "stars" out of "The stars…" leaves an orphan
+ "The" that vanishes mid-air. The compiler auto-absorbs a line-leading article into
+ the promoted phrase; mid-line, match the phrase including its article.
+- Sizes are TARGETED by the compiler, not just floored — author sizes are hints:
+ - **apex = frame event**: under 88% of usable width → raised toward a 93% fill.
+ Std height cap = `sizeRange[1] × 1.25` (≤46cqh; formal register ×1.0) — a std apex
+ bursts a rail, not a body composition. Cinematic cap = `sizeRange[1]`.
+ - **short words fill with TRACKING**: when the height cap binds before the width
+ target (SHINE — 5 glyphs), the compiler letterspaces up to +0.32em until the word
+ owns ~88% of the width (film-title craft: HER / DUNE). Long words fill by scale,
+ short words by air — impact is WIDTH-led either way.
+ - **minor = damped beat in the apex family**: `max(3× rail, 0.55× apex-final)`,
+ width-capped. A peak that reads as a label is a bug.
+ - **lockup context is RATIO-LOCKED**: kicker/tail = `0.26× hero` (clamped
+ 0.05–0.085·h), recomputed after any width-fit raise. Don't hand-tune context
+ sizes — size the hero; the context follows like a poster system.
+
+## Climax placement — the lockup is the default, NOT the only composition
+
+A hero line takes `"placement": "subject" | "column"`:
+
+- **subject** (default) — the **ORBIT lockup** centered ON the subject. NOT a centered
+ sandwich: context anchors to the hero's EDGES like a poster kicker/tagline —
+ pre-context flush-left off the hero's top-left corner, post-context flush-right off
+ its bottom-right — so the small lines land BESIDE the head/shoulder (on the scene),
+ never on the face, and therefore EMBED (bg) like everything else. The eye reads a
+ diagonal: kicker ↘ HERO ↘ tail. Only the hero crosses the silhouette (the
+ matte-occlusion showcase). The context's job is reading continuity — it gets the
+ margins; the hero's job is the cinematic event — it gets the subject. Right when the
+ peak is THE dramatic moment: cream / loud / glitch / neon / velocity lean here.
+- **column** — the apex stays IN its column's reading flow and BURSTS it (oversized,
+ full hero motion + dim/glow privileges, but composed within the sentence's home
+ zone; spills toward the subject naturally when oversized). Right when the content
+ is a continuous read and the column is the narrative's home: keynotes, tutorials,
+ explainers, documentary. Registers: keynote / documentary / editorial lean here.
+
+Applying ONE composition to every peak is monoculture — the same failure the motion
+review caught. Pick per beat: a 15s explainer might run column peaks throughout and
+save the subject lockup for the single apex. (A third pattern — the editorial split,
+bg context upper + fg hero lower-third — lives in references/composition-craft.md and
+is the next placement candidate.)
+
+## The motion language (five layers, each DNA answers all five)
+
+A DNA's animation is not a parameter tweak on a shared fade — it's a distinct physics:
+
+| Layer | What it governs | Where it lives |
+| ---------------------- | ------------------------------------------------------------------------------------------------------------------ | ----------------------------------------------------- |
+| **word entrance** | how each word materializes on its beat ({y,x,blur,scale,rot,dur,ease} or burn) | `motion.soft/present/impact` |
+| **line exit** | direction + speed of leaving, optional top-to-bottom cascade | `motion.exit` ({dur,y,x,scale,ease,stagger}) |
+| **hold-life** | what text does while on screen — stillness is a deliberate choice | `hero.breathe` / `hero.loom` (0 = print-still) |
+| **hero orchestration** | the three-act entrance signature (emergence / settle / slam / rise / **wipe-up**) + glow / letterBlur / **ripple** | `hero.*` |
+| **timing physics** | the duration & easing register everything obeys (percussive 0.15s ↔ atmospheric 0.6s) | implied by the values above — keep one family per DNA |
+
+Shipped signatures: cream = _light condenses_ (blur-settle, drift-up exits) · ink =
+_letterpress_ (scale-press, no float, dead-still) · editorial = _the pen glides_
+(x-glide with the italic, cascade-out page turns) · keynote = _surgical reveal_
+(burn words + line wipe + hero wipe-up, exits never move) · documentary = _burn and
+hold_ (motion's absence IS the language) · loud = _percussion_ (back-eased punches,
+alternating tilt, hero ripple that bumps every caption — never the footage).
+
+Rules inherited from hyperframes motion-principles: exits faster than entrances; vary
+ease families BETWEEN DNAs (not within one); `.out` enters, `.in` leaves; never two
+transform tweens on one element in the same window (wipe-up is clip-path so the
+afterglow scale channel stays free; loom subsumes breathe).
+
+## Adding a DNA
+
+Copy an existing `dna/.json`, change the voice, keep the schema. The engine
+(`modes/cinematic/engine.html`) and both compilers consume it as-is. A DNA earns its
+place by being a _distinct voice with a reason to exist_ — not a recolor.
diff --git a/.claude/skills-media/embedded-captions/dna/chrome.json b/.claude/skills-media/embedded-captions/dna/chrome.json
new file mode 100644
index 000000000..559db06b4
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/dna/chrome.json
@@ -0,0 +1,68 @@
+{
+ "name": "chrome",
+ "title": "Chrome — Y2K liquid metal",
+ "register": "loud-luxe",
+ "when": "fashion-tech, music, Y2K-revival, product-flex content. The hero is cast in liquid metal — a gradient sheen sweeps across it once during the hold. Supporting lines stay cool steel.",
+ "font": {
+ "family": "Audiowide",
+ "weights": [400]
+ },
+ "palette": {
+ "scheme": "light-on-dark",
+ "cap_color": "#e8edf2",
+ "blend": "normal",
+ "accent": "#9fb6cc",
+ "accent_fallback": "#9fb6cc"
+ },
+ "optics": {
+ "depthMatch": true,
+ "contactShadow": true,
+ "warmBloom": false
+ },
+ "filter": "none",
+ "motion": {
+ "soft": {
+ "y": 6,
+ "scale": 1.04,
+ "dur": 0.3,
+ "ease": "power3.out"
+ },
+ "present": {
+ "y": 6,
+ "scale": 1.06,
+ "dur": 0.26,
+ "ease": "power3.out"
+ },
+ "impact": {
+ "y": 8,
+ "scale": 1.1,
+ "dur": 0.22,
+ "ease": "power4.out"
+ },
+ "exit": {
+ "dur": 0.25,
+ "ease": "power2.in",
+ "stagger": 0
+ }
+ },
+ "hero": {
+ "entrance": "settle",
+ "perLetter": false,
+ "letterStagger": 0,
+ "glow": 0.15,
+ "dimOthers": 0.4,
+ "breathe": 0.008,
+ "sheen": true,
+ "case": "uppercase",
+ "tracking": "0.02em",
+ "sizeRange": [0.18, 0.3],
+ "css": "",
+ "wordCss": "background: linear-gradient(105deg,#3a4350 0%,#f6fbff 20%,#8fa0b2 38%,#ffffff 50%,#2e3742 64%,#eef6fd 82%,#6b7888 100%); background-size: 220% 100%; -webkit-background-clip: text; background-clip: text; -webkit-text-fill-color: transparent; text-shadow: none;"
+ },
+ "css": "",
+ "deliveries": {
+ "home": "column",
+ "rail": "unvalidated",
+ "note": "signature = liquid-metal wordCss + sheen sweep (engine fx) — std ignores wordCss/fx"
+ }
+}
diff --git a/.claude/skills-media/embedded-captions/dna/cream.json b/.claude/skills-media/embedded-captions/dna/cream.json
new file mode 100644
index 000000000..cb6a92443
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/dna/cream.json
@@ -0,0 +1,69 @@
+{
+ "name": "cream",
+ "title": "Warm cream — the poetic default",
+ "register": "premium-warm",
+ "when": "dark / mid-tone warm scenes (band luma < 150): studios, evening interiors, moody interviews. Introspective, narrative, emotional content. The successor of cinematic-cream.",
+ "font": {
+ "family": "Inter",
+ "weights": [500, 600, 700, 900]
+ },
+ "palette": {
+ "scheme": "light-on-dark",
+ "cap_color": "#fff5df",
+ "blend": "screen",
+ "accent": "scene",
+ "accent_fallback": "#e3c06a"
+ },
+ "optics": {
+ "depthMatch": true,
+ "contactShadow": true,
+ "warmBloom": true
+ },
+ "filter": "contrast(1.08)",
+ "motion": {
+ "soft": {
+ "y": 8,
+ "blur": 2.5,
+ "dur": 0.5,
+ "ease": "power2.out"
+ },
+ "present": {
+ "y": 6,
+ "blur": 1.5,
+ "scale": 1.03,
+ "dur": 0.3,
+ "ease": "power3.out"
+ },
+ "impact": {
+ "y": 12,
+ "blur": 1.5,
+ "scale": 1.08,
+ "dur": 0.24,
+ "ease": "power4.out"
+ },
+ "exit": {
+ "dur": 0.45,
+ "y": -8,
+ "ease": "sine.in",
+ "stagger": 0
+ }
+ },
+ "hero": {
+ "entrance": "emergence",
+ "perLetter": true,
+ "letterStagger": 0.016,
+ "glow": 0.3,
+ "dimOthers": 0.45,
+ "breathe": 0.012,
+ "case": "uppercase",
+ "tracking": "-0.03em",
+ "sizeRange": [0.2, 0.34],
+ "letterBlur": 2.5
+ },
+ "css": "",
+ "deliveries": {
+ "home": "column",
+ "rail": "validated",
+ "note": "standard-mode lineage IS cinematic-cream; validated std renders (jimeng)"
+ }
+}
diff --git a/.claude/skills-media/embedded-captions/dna/documentary.json b/.claude/skills-media/embedded-captions/dna/documentary.json
new file mode 100644
index 000000000..4f3b6a872
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/dna/documentary.json
@@ -0,0 +1,62 @@
+{
+ "name": "documentary",
+ "title": "Documentary — Errol Morris dignity",
+ "register": "formal",
+ "when": "interviews, serious subject matter, journalism, testimonial. Burn-in reveals (no animation), bone on charcoal, a deliberately modest hero. Gravitas IS the style — stillness, no accent color, no glow.",
+ "font": {
+ "family": "Inter",
+ "weights": [500, 700]
+ },
+ "palette": {
+ "scheme": "light-on-dark",
+ "cap_color": "#F5EFE6",
+ "blend": "normal",
+ "accent": "#F5EFE6",
+ "accent_fallback": "#F5EFE6"
+ },
+ "optics": {
+ "depthMatch": true,
+ "contactShadow": true,
+ "warmBloom": false
+ },
+ "filter": "none",
+ "motion": {
+ "soft": {
+ "reveal": "burn"
+ },
+ "present": {
+ "y": 0,
+ "dur": 0.18,
+ "ease": "power1.out"
+ },
+ "impact": {
+ "y": 6,
+ "scale": 1.03,
+ "dur": 0.2,
+ "ease": "power2.out"
+ },
+ "exit": {
+ "dur": 0.15,
+ "ease": "power1.in",
+ "stagger": 0
+ }
+ },
+ "hero": {
+ "entrance": "rise",
+ "perLetter": false,
+ "letterStagger": 0,
+ "glow": 0,
+ "dimOthers": 0.3,
+ "breathe": 0,
+ "case": "none",
+ "tracking": "-0.015em",
+ "sizeRange": [0.09, 0.15],
+ "css": "font-weight: 700;"
+ },
+ "css": "",
+ "deliveries": {
+ "home": "column",
+ "rail": "unvalidated",
+ "note": "the lower-third IS documentary's home register (Errol Morris); column stays deliberately modest"
+ }
+}
diff --git a/.claude/skills-media/embedded-captions/dna/editorial.json b/.claude/skills-media/embedded-captions/dna/editorial.json
new file mode 100644
index 000000000..1d2fa97ff
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/dna/editorial.json
@@ -0,0 +1,70 @@
+{
+ "name": "editorial",
+ "title": "Editorial — serif voice, magazine cadence",
+ "register": "editorial-luxe",
+ "when": "introspective monologue, fashion / beauty, poetic or lyrical content, premium brand films on mid/dark scenes. The serif italic carries intimacy that a grotesque can't. The hero stays lowercase italic — elegance over shout.",
+ "font": {
+ "family": "Bodoni Moda",
+ "weights": [400, 700]
+ },
+ "palette": {
+ "scheme": "light-on-dark",
+ "cap_color": "#f2ead8",
+ "blend": "screen",
+ "accent": "scene",
+ "accent_fallback": "#c9a36a"
+ },
+ "optics": {
+ "depthMatch": true,
+ "contactShadow": true,
+ "warmBloom": true
+ },
+ "filter": "contrast(1.06)",
+ "motion": {
+ "soft": {
+ "x": -10,
+ "y": 0,
+ "dur": 0.55,
+ "ease": "power2.out"
+ },
+ "present": {
+ "x": -8,
+ "y": 0,
+ "scale": 1.02,
+ "dur": 0.34,
+ "ease": "power2.out"
+ },
+ "impact": {
+ "x": -10,
+ "y": 0,
+ "scale": 1.06,
+ "dur": 0.28,
+ "ease": "power3.out"
+ },
+ "exit": {
+ "dur": 0.4,
+ "x": 8,
+ "ease": "sine.in",
+ "stagger": 0.07
+ }
+ },
+ "hero": {
+ "entrance": "emergence",
+ "perLetter": true,
+ "letterStagger": 0.022,
+ "glow": 0.18,
+ "dimOthers": 0.5,
+ "breathe": 0.01,
+ "case": "none",
+ "tracking": "-0.01em",
+ "sizeRange": [0.18, 0.3],
+ "css": "font-style: italic; font-weight: 700;",
+ "letterBlur": 1.5
+ },
+ "css": "",
+ "deliveries": {
+ "home": "column",
+ "rail": "unvalidated",
+ "note": "italic serif rail reads fine; the signature x-glide + line cascade-out exits don't exist in the std enum"
+ }
+}
diff --git a/.claude/skills-media/embedded-captions/dna/glitch.json b/.claude/skills-media/embedded-captions/dna/glitch.json
new file mode 100644
index 000000000..851e605b0
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/dna/glitch.json
@@ -0,0 +1,82 @@
+{
+ "name": "glitch",
+ "title": "Glitch — signal corruption",
+ "register": "loud-cyber",
+ "when": "digital / hacker / AI / dystopia content; anything that wants the captions to feel like a corrupted feed. RGB-split echoes snap together as each beat lands; timing is machine-percussive; nothing eases politely.",
+ "font": {
+ "family": "Space Grotesk",
+ "weights": [400, 700]
+ },
+ "palette": {
+ "scheme": "light-on-dark",
+ "cap_color": "#eaffff",
+ "blend": "screen",
+ "accent": "#ff3df0",
+ "accent_fallback": "#ff3df0"
+ },
+ "optics": {
+ "depthMatch": false,
+ "contactShadow": false,
+ "warmBloom": false
+ },
+ "filter": "none",
+ "motion": {
+ "soft": {
+ "x": -6,
+ "stretchX": 1.12,
+ "dur": 0.12,
+ "ease": "power4.out"
+ },
+ "present": {
+ "x": -8,
+ "stretchX": 1.18,
+ "dur": 0.11,
+ "ease": "power4.out"
+ },
+ "impact": {
+ "x": -10,
+ "stretchX": 1.25,
+ "dur": 0.1,
+ "ease": "power4.out"
+ },
+ "exit": {
+ "dur": 0.1,
+ "scale": 1.02,
+ "ease": "power4.in",
+ "stagger": 0
+ }
+ },
+ "hero": {
+ "entrance": "settle",
+ "perLetter": false,
+ "letterStagger": 0,
+ "glow": 0.18,
+ "dimOthers": 0.45,
+ "breathe": 0,
+ "ripple": 2,
+ "case": "uppercase",
+ "tracking": "0.01em",
+ "sizeRange": [0.2, 0.32],
+ "css": "font-weight: 700;",
+ "echoes": [
+ {
+ "dx": -5,
+ "dy": 0,
+ "color": "#22e6ff",
+ "opacity": 0.75
+ },
+ {
+ "dx": 5,
+ "dy": 1,
+ "color": "#ff3df0",
+ "opacity": 0.75
+ }
+ ]
+ },
+ "css": "",
+ "deliveries": {
+ "home": "column",
+ "rail": "unvalidated",
+ "note": "signature = RGB-split echoes converge (engine fx) — rail keeps only a tinted skin"
+ }
+}
diff --git a/.claude/skills-media/embedded-captions/dna/ink.json b/.claude/skills-media/embedded-captions/dna/ink.json
new file mode 100644
index 000000000..b6e75f517
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/dna/ink.json
@@ -0,0 +1,65 @@
+{
+ "name": "ink",
+ "title": "Ink — printed on the scene",
+ "register": "premium",
+ "when": "BRIGHT scenes (band luma > 150): white offices, daylight, pale walls — the scenes where cream/screen washes out. Multiply blend makes the type read as printed ON the wall, picking up its texture. Confident, editorial-tech tone.",
+ "font": {
+ "family": "Inter",
+ "weights": [500, 700, 900]
+ },
+ "palette": {
+ "scheme": "dark-on-light",
+ "cap_color": "#1b1714",
+ "blend": "multiply",
+ "accent": "scene",
+ "accent_fallback": "#9a3b2e"
+ },
+ "optics": {
+ "depthMatch": true,
+ "contactShadow": true,
+ "warmBloom": false
+ },
+ "filter": "contrast(1.05)",
+ "motion": {
+ "soft": {
+ "y": 0,
+ "scale": 1.06,
+ "dur": 0.22,
+ "ease": "power3.out"
+ },
+ "present": {
+ "y": 0,
+ "scale": 1.08,
+ "dur": 0.2,
+ "ease": "power3.out"
+ },
+ "impact": {
+ "y": 0,
+ "scale": 1.12,
+ "dur": 0.18,
+ "ease": "power4.out"
+ },
+ "exit": {
+ "dur": 0.22,
+ "ease": "power2.in",
+ "stagger": 0
+ }
+ },
+ "hero": {
+ "entrance": "settle",
+ "perLetter": false,
+ "letterStagger": 0.014,
+ "glow": 0,
+ "dimOthers": 0.4,
+ "breathe": 0,
+ "case": "uppercase",
+ "tracking": "-0.035em",
+ "sizeRange": [0.2, 0.34]
+ },
+ "css": "",
+ "deliveries": {
+ "home": "column",
+ "rail": "unvalidated",
+ "note": "rail works (scale-press→settle) but the letterpress identity wants a scene surface to press INTO"
+ }
+}
diff --git a/.claude/skills-media/embedded-captions/dna/keynote.json b/.claude/skills-media/embedded-captions/dna/keynote.json
new file mode 100644
index 000000000..759587432
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/dna/keynote.json
@@ -0,0 +1,62 @@
+{
+ "name": "keynote",
+ "title": "Keynote — Apple-grade confidence",
+ "register": "tech-premium",
+ "when": "product walkthroughs, launches, founder updates, tech explainers. Opaque white type, dead-center planes, few words held long. Confidence comes from mass and stillness, not motion.",
+ "font": {
+ "family": "Inter",
+ "weights": [400, 600, 800]
+ },
+ "palette": {
+ "scheme": "light-on-dark",
+ "cap_color": "#ffffff",
+ "blend": "normal",
+ "accent": "scene",
+ "accent_fallback": "#8ab4ff"
+ },
+ "optics": {
+ "depthMatch": true,
+ "contactShadow": true,
+ "warmBloom": false
+ },
+ "filter": "none",
+ "motion": {
+ "soft": {
+ "reveal": "burn"
+ },
+ "present": {
+ "reveal": "burn"
+ },
+ "impact": {
+ "reveal": "burn"
+ },
+ "lineReveal": {
+ "type": "wipe-x",
+ "dur": 0.4,
+ "ease": "expo.out"
+ },
+ "exit": {
+ "dur": 0.3,
+ "ease": "power2.in",
+ "stagger": 0
+ }
+ },
+ "hero": {
+ "entrance": "wipe-up",
+ "perLetter": false,
+ "letterStagger": 0,
+ "glow": 0,
+ "dimOthers": 0.35,
+ "breathe": 0,
+ "case": "uppercase",
+ "tracking": "-0.045em",
+ "sizeRange": [0.16, 0.3],
+ "css": "font-weight: 800;"
+ },
+ "css": "",
+ "deliveries": {
+ "home": "column",
+ "rail": "validated",
+ "note": "wipe-up maps to the std entrance enum; keynote_std validated (Shine)"
+ }
+}
diff --git a/.claude/skills-media/embedded-captions/dna/loud.json b/.claude/skills-media/embedded-captions/dna/loud.json
new file mode 100644
index 000000000..21f572d24
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/dna/loud.json
@@ -0,0 +1,75 @@
+{
+ "name": "loud",
+ "title": "Loud — the sanctioned blast",
+ "register": "loud",
+ "when": "hype, social reels, sport, music, motivational shorts — content that WANTS the type to compete with the face (k-pop-lyric lineage; deliberately breaks 'subject wins' at the hero). Machine-gun letter staggers, slam entrances, scene-sampled saturated accent on the hero. Body lines ANNOUNCE in front of the subject (bodyLayer:fg — k-pop lyric depth); only the hero embeds behind.",
+ "font": {
+ "family": "Anton",
+ "weights": [400]
+ },
+ "palette": {
+ "scheme": "light-on-dark",
+ "cap_color": "#ffffff",
+ "blend": "normal",
+ "accent": "scene",
+ "accent_fallback": "#ffd600",
+ "heroColor": "accent",
+ "accentMode": "counter"
+ },
+ "optics": {
+ "depthMatch": false,
+ "contactShadow": true,
+ "warmBloom": false
+ },
+ "filter": "none",
+ "motion": {
+ "soft": {
+ "y": 0,
+ "scale": 1.3,
+ "rot": 1.2,
+ "dur": 0.18,
+ "ease": "back.out(1.7)"
+ },
+ "present": {
+ "y": 0,
+ "scale": 1.35,
+ "rot": 1.2,
+ "dur": 0.18,
+ "ease": "back.out(1.7)"
+ },
+ "impact": {
+ "y": 0,
+ "scale": 1.45,
+ "rot": 1.5,
+ "dur": 0.16,
+ "ease": "back.out(1.9)"
+ },
+ "exit": {
+ "dur": 0.14,
+ "scale": 0.96,
+ "ease": "power3.in",
+ "stagger": 0
+ }
+ },
+ "hero": {
+ "entrance": "slam",
+ "perLetter": false,
+ "letterStagger": 0.01,
+ "glow": 0.25,
+ "dimOthers": 0.55,
+ "breathe": 0.016,
+ "case": "uppercase",
+ "tracking": "-0.005em",
+ "sizeRange": [0.26, 0.4],
+ "css": "-webkit-text-stroke: 2px rgba(0,0,0,0.35); paint-order: stroke fill;",
+ "ripple": 3,
+ "loom": 0.03
+ },
+ "css": "",
+ "bodyLayer": "fg",
+ "deliveries": {
+ "home": "column",
+ "rail": "unvalidated",
+ "note": "slam maps; bodyLayer:fg already a std-shaped hybrid; validated both"
+ }
+}
diff --git a/.claude/skills-media/embedded-captions/dna/neon.json b/.claude/skills-media/embedded-captions/dna/neon.json
new file mode 100644
index 000000000..bc4ac367a
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/dna/neon.json
@@ -0,0 +1,58 @@
+{
+ "name": "neon",
+ "title": "Neon — the sign in the scene",
+ "register": "loud-cyber",
+ "when": "cyberpunk / nightlife / tech-noir / music content on dark scenes. The captions ARE neon signage hanging in the room: electric cyan tubes, ignition flicker, a hum of glow. The hero powers ON like a sign being lit.",
+ "font": {
+ "family": "Orbitron",
+ "weights": [400, 700]
+ },
+ "palette": {
+ "scheme": "light-on-dark",
+ "cap_color": "#d9f7ff",
+ "blend": "screen",
+ "accent": "#22e6ff",
+ "accent_fallback": "#22e6ff",
+ "heroColor": "accent"
+ },
+ "optics": {
+ "depthMatch": false,
+ "contactShadow": false,
+ "warmBloom": false
+ },
+ "filter": "none",
+ "motion": {
+ "soft": {
+ "reveal": "flicker"
+ },
+ "present": {
+ "reveal": "flicker"
+ },
+ "impact": {
+ "reveal": "flicker"
+ },
+ "exit": {
+ "dur": 0.18,
+ "ease": "power2.in",
+ "stagger": 0
+ }
+ },
+ "hero": {
+ "entrance": "flicker-on",
+ "perLetter": false,
+ "letterStagger": 0,
+ "glow": 0.5,
+ "dimOthers": 0.4,
+ "breathe": 0.01,
+ "case": "uppercase",
+ "tracking": "0.04em",
+ "sizeRange": [0.18, 0.3],
+ "css": "text-shadow: 0 0 14px rgba(34,230,255,0.65), 0 0 40px rgba(34,230,255,0.35), 0 0 80px rgba(34,230,255,0.18);"
+ },
+ "css": ".cap { text-shadow: 0 0 10px rgba(34,230,255,0.4), 0 0 26px rgba(34,230,255,0.2); }",
+ "deliveries": {
+ "home": "column",
+ "rail": "unvalidated",
+ "note": "signature = flicker-on + glow layer (engine hero fx) — rail keeps only the cyan skin"
+ }
+}
diff --git a/.claude/skills-media/embedded-captions/dna/velocity.json b/.claude/skills-media/embedded-captions/dna/velocity.json
new file mode 100644
index 000000000..8650e1de6
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/dna/velocity.json
@@ -0,0 +1,89 @@
+{
+ "name": "velocity",
+ "title": "Velocity — speed lines",
+ "register": "loud-sport",
+ "when": "sport, automotive, fitness, anything kinetic. Every word arrives ALONG its own motion vector (streak + skew settles upright); the hero passes through with speed trails behind it. Condensed italic forward lean.",
+ "font": {
+ "family": "Teko",
+ "weights": [400, 700]
+ },
+ "palette": {
+ "scheme": "light-on-dark",
+ "cap_color": "#ffffff",
+ "blend": "normal",
+ "accent": "scene",
+ "accent_fallback": "#ffd600",
+ "heroColor": "accent",
+ "accentMode": "counter"
+ },
+ "optics": {
+ "depthMatch": false,
+ "contactShadow": true,
+ "warmBloom": false
+ },
+ "filter": "none",
+ "motion": {
+ "soft": {
+ "x": -22,
+ "skewX": -8,
+ "stretchX": 1.3,
+ "dur": 0.22,
+ "ease": "expo.out"
+ },
+ "present": {
+ "x": -26,
+ "skewX": -10,
+ "stretchX": 1.35,
+ "dur": 0.2,
+ "ease": "expo.out"
+ },
+ "impact": {
+ "x": -32,
+ "skewX": -12,
+ "stretchX": 1.45,
+ "dur": 0.18,
+ "ease": "expo.out"
+ },
+ "exit": {
+ "dur": 0.16,
+ "x": 14,
+ "ease": "power3.in",
+ "stagger": 0.04
+ }
+ },
+ "hero": {
+ "entrance": "streak",
+ "perLetter": false,
+ "letterStagger": 0,
+ "glow": 0,
+ "dimOthers": 0.5,
+ "breathe": 0,
+ "loom": 0.025,
+ "case": "uppercase",
+ "tracking": "0.015em",
+ "sizeRange": [0.24, 0.38],
+ "css": "font-weight: 700; font-style: italic;",
+ "echoes": [
+ {
+ "dx": -10,
+ "dy": 0,
+ "color": "#ffffff",
+ "opacity": 0.22,
+ "blur": 1
+ },
+ {
+ "dx": -20,
+ "dy": 0,
+ "color": "#ffffff",
+ "opacity": 0.1,
+ "blur": 2
+ }
+ ]
+ },
+ "css": "",
+ "deliveries": {
+ "home": "column",
+ "rail": "unvalidated",
+ "note": "signature = streak + trail echoes along the speed vector (engine fx) — rail loses all of it"
+ }
+}
diff --git a/.claude/skills-media/embedded-captions/modes/cinematic/README.md b/.claude/skills-media/embedded-captions/modes/cinematic/README.md
new file mode 100644
index 000000000..f78ae5b93
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/modes/cinematic/README.md
@@ -0,0 +1,48 @@
+# Cinematic mode (pure embed) — one engine, six DNAs
+
+> Cinematic mode compiles **[../../dna/](../../dna/README.md)** through
+> **[engine.html](engine.html)** (`make-composition.cjs`). The old per-template HTML
+> shells are retired — `cinematic-cream` maps to `dna: "cream"` automatically; the other
+> archived templates (memory-wall / champion / portrait-header, in [\_archive/](_archive/))
+> remain as design references only.
+
+Use this mode for pure-embed asks (no rail): brand film, hype, social reel, showcase.
+The **DNA** locks the visual language (type, palette scheme, blend, motion grammar, hero
+three-act); **safe-zones v2** parameterizes it to the scene (sampled accent, light-
+direction contact shadow, depth-match blur); **the agent decides layout only** (planes,
+blocks, per-line typography within the DNA).
+
+## Workflow
+
+1. `bash scripts/prepare.sh ` → matte ∥ transcript ∥ envelope → safe-zones v2
+2. Pick a DNA ([../../dna/README.md](../../dna/README.md)): bright hero band → `ink`,
+ else by register (cream / editorial / keynote / documentary / loud). Recommend, let
+ the user pick.
+3. Author `/cinematic.json` — `"dna": ""` + thought-blocks (schema:
+ `scripts/make-cinematic.cjs` header)
+4. `node scripts/make-cinematic.cjs ` → plan.json → engine-compiled index.html
+5. `node scripts/preview-frames.cjs ` → § Visual QA (failure checks + the 5
+ positive checks in [../../references/reference-bar.md](../../references/reference-bar.md))
+6. `bash scripts/render-and-composite.sh ` → gates → final.mp4
+
+## What the engine generates (never author these)
+
+- word timings from the transcript; accumulate-within-block / page-flip-between-blocks
+- the hero hand-off + **three-act orchestration** (dim → RMS-coupled per-letter entrance
+ → breathe + glow), per the DNA's `hero` block
+- scene tokens: `--accent` (sampled), contact shadow, depth blur
+- reading order, re-slot from measured heights, hero size/collision post-pass
+
+## What you DON'T do
+
+- Override `.cap` color / blend / shadow / filter / motion curves — that's the DNA.
+ Scene fights the look → pick a different DNA (bright → `ink`), never recolor.
+- Hand-position the hero into a clean margin (it belongs ON the subject, ~30–55%
+ occluded — safe-zones `heroBands.best`).
+- Add full-frame grades/textures over the footage (hard rule: the video ships untouched).
+
+## Adding a DNA
+
+`dna/.json` — copy one, change the voice (see [../../dna/README.md](../../dna/README.md)
+§ Adding). The engine consumes it with no code change. A DNA must be a distinct voice
+with a reason to exist, not a recolor.
diff --git a/.claude/skills-media/embedded-captions/modes/cinematic/_archive/champion/spec.md b/.claude/skills-media/embedded-captions/modes/cinematic/_archive/champion/spec.md
new file mode 100644
index 000000000..a200654f4
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/modes/cinematic/_archive/champion/spec.md
@@ -0,0 +1,98 @@
+# Template: champion
+
+**Look:** podcast / interview, upper-side column with intro→phrase→emph
+beats building toward a center-stage CROWN that crosses the subject's body.
+"Wimbledon Champion" energy.
+
+**Visual identity (LOCKED):**
+
+- 5 typography slots: intro / phrase / emph / dream / crown
+- `mix-blend-mode: screen` over warm bone color (#fff5df)
+- Deep text-shadow + brightness boost
+- Single-caption-swap layout (caps stack at one point in the column)
+- Center-stage crown crosses the subject for cinematic occlusion
+
+## When to apply
+
+✅ **Good fit:**
+
+- Podcast / interview style with a single seated subject
+- Cluttered backdrop (bookshelf, props, dark) — screen blend reads through
+- Subject roughly centered with clear clean zones on one or both sides
+- Speech has a clear payoff line that can become a "crown" (1-3 short words)
+- 16:9 landscape, 1920×1080 ideal
+
+❌ **Wrong fit:**
+
+- Bright/sky/window backdrop (screen blend washes out)
+- Subject heavily off-center such that there's no clean column zone
+- Speech has no clear climax line
+- Portrait 9:16 → use `portrait-header` template instead
+
+## Layout decisions agent makes
+
+| Field | What | Example (1920×1080) |
+| ----------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------- |
+| `plane.top/left/width/height` | Where the side column sits. Pick the side opposite the subject's gaze (looking room) and hug the cleanest backdrop zone. | `{top: 40, left: 40, width: 720, height: 420}` |
+| `plane.rotateY` | Slight perspective into the wall. Positive for left column (recedes right), negative for right column. Keep small (3-7°). | `4` |
+| `crown_top` | Y position of the crown. Should fall on the subject's chest/neck so the body occludes the middle letters. | `420` |
+| `font_scale` | Multiplier on locked sizes. | `1.0` for 1920×1080 |
+| `crown_enabled` | Whether to render a crown. Skip if the speech has no clean payoff line, or if the subject is too far off-center for a center crown to land. | `true` |
+
+### Crown placement rules
+
+Before enabling the crown, verify all 3 conditions:
+
+1. Subject body center within ±10% of frame horizontal center
+2. Clean zones ≥15% of frame width on each side of subject
+3. Crown text width (uppercase 140px × ~chars) > subject body width + 400px
+
+If any fails: disable the crown OR use a smaller font + place it in the
+larger clean zone instead of center. See `references/layout-heuristics.md`.
+
+## Slot assignment
+
+| Slot | Use for |
+| ------ | ---------------------------------------------------------- |
+| intro | Filler / discourse markers ("you know,", "for me,", "so…") |
+| phrase | Main statement clauses |
+| emph | Key achievement / superlative line |
+| dream | Aspirational lines, past-tense reflection |
+| crown | The single climax line — center-stage payoff |
+
+Aim for ≤3 slots per video (excluding crown). Don't use all 4 in a 12s clip.
+
+## Plan.json shape
+
+```json
+{
+ "mode": "template",
+ "template": "champion",
+ "duration": 12.08, "fps": 24, "width": 1920, "height": 1080,
+ "plane": {
+ "top": 40, "left": 40, "width": 720, "height": 420,
+ "rotateY": 4
+ },
+ "crown_top": 420,
+ "font_scale": 1.0,
+ "groups": [
+ { "id": "cg-0", "slot": "intro", "tone": "soft",
+ "in": 0.10, "out": 1.45, "words": [...] },
+ { "id": "cg-1", "slot": "phrase", "tone": "soft",
+ "in": 1.55, "out": 4.20, "words": [...] },
+ { "id": "cg-2", "slot": "emph", "tone": "present",
+ "in": 6.50, "out": 8.30, "words": [...] }
+ ],
+ "crown_group": {
+ "id": "cg-crown", "tone": "present",
+ "in": 10.85, "out": 12.08,
+ "words": [
+ {"text": "Wimbledon", "start": 10.94, "end": 11.28},
+ {"text": "Champion", "start": 11.38, "end": 11.84}
+ ]
+ }
+}
+```
+
+`crown_group` always uses the crown slot — no need to specify `slot`.
+Set `crown_group: null` to disable.
diff --git a/.claude/skills-media/embedded-captions/modes/cinematic/_archive/champion/template.html b/.claude/skills-media/embedded-captions/modes/cinematic/_archive/champion/template.html
new file mode 100644
index 000000000..624f89f87
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/modes/cinematic/_archive/champion/template.html
@@ -0,0 +1,188 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
{{GROUPS_HTML}}
+
{{CROWN_HTML}}
+
+
+
+
+
+
+
+
diff --git a/.claude/skills-media/embedded-captions/modes/cinematic/_archive/memory-wall/spec.md b/.claude/skills-media/embedded-captions/modes/cinematic/_archive/memory-wall/spec.md
new file mode 100644
index 000000000..997286b6b
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/modes/cinematic/_archive/memory-wall/spec.md
@@ -0,0 +1,134 @@
+# Template: memory-wall
+
+**Look:** introspective monologue, italic poem stacking on a back wall,
+right-aligned cascade for the climax. Sam Harris / Pico Iyer territory.
+
+**Visual identity (LOCKED — do not change):**
+
+- 4-slot typography arc: italic 600 → italic 500 hanging-indent → upright
+ 700 pivot → uppercase 900 climax
+- `mix-blend-mode: screen` over warm-bone color (#fff4dc)
+- soft text-shadow + brightness boost
+- Per-word fade with subtle Y-drift (soft tone) or pop+scale (present tone)
+
+## When to apply
+
+✅ **Good fit:**
+
+- Talking-head with a flat back wall (acoustic foam, plain plaster, soft
+ bookshelf) on one side
+- Single subject, fixed or near-fixed camera
+- Voice-over feel: introspective, narrative, "I was thinking…"
+- Mid-tone or dark backdrop (luminance < 180)
+
+❌ **Wrong fit:**
+
+- Bright window/sky backdrop → screen blend blows out
+- Cluttered backdrop with text/graphics → conflicts with caption text
+- Energetic / vlog / TikTok style → wrong vibe
+- Multiple speakers / hard cuts → caption arc breaks
+
+## What agent decides per scene
+
+| Field | What | Example |
+| ------------------------------ | ------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------ |
+| `plane.top/right/width/height` | Where the wall plane sits in frame. Plane should HUG the side of the wall, not float over the subject. | `{top: 90, right: 30, width: 720, height: 520}` for 1280×720 |
+| `plane.rotateY` | Match the wall's perspective angle. Negative for right-side wall (text recedes left), positive for left-side wall. | `-13` for a right-side wall at slight angle |
+| `plane.rotateX` | Tiny vertical tilt if wall is angled up/down. Usually 0-2 deg. | `1` |
+| `font_scale` | Multiplier on the locked cap-N base sizes. Tune for frame height. | `1.0` for 1280×720, `~1.5` for 1920×1080, `~0.7` for 720p portrait |
+| `groups[].slot` | Which of the 4 typography slots this group uses (1/2/3/4). Drives the arc. | See below |
+| `groups[].tone` | "soft" or "present" — drives motion curve | `"soft"` for opening lines, `"present"` for pivot+climax |
+
+## Slot assignment rules
+
+Aim for ONE arc across the video: `1 → 2 → 3 → 4`. Don't repeat slots if you
+can avoid it; don't skip slots without reason.
+
+| Slot | Use for |
+| ---- | ---------------------------------------------------------------------------------------------------------------------------------------- |
+| 1 | The opener. The "I was thinking" line. Italic, soft entry. |
+| 2 | The dreamy continuation / modifier. Smaller italic, hanging-indent — feels like the second half of a sentence with some staggered drift. |
+| 3 | The pivot. Upright (no italic), the syntactic turn. ("but suddenly", "and then…") |
+| 4 | The climax. Big uppercase 900. The payoff line. Aim for ≤4 short words so the right-aligned cascade naturally wraps to 2-3 lines. |
+
+If the script is longer than 4 groups, repeat slot 1 or 2 for additional
+soft lines, but reserve slot 4 for the SINGLE climax.
+
+## Plan.json shape
+
+```json
+{
+ "mode": "template",
+ "template": "memory-wall",
+ "duration": 8.04,
+ "fps": 24,
+ "width": 1280,
+ "height": 720,
+ "plane": {
+ "top": 90,
+ "right": 30,
+ "width": 720,
+ "height": 520,
+ "rotateY": -13,
+ "rotateX": 1
+ },
+ "font_scale": 1.0,
+ "groups": [
+ {
+ "id": "cg-0",
+ "slot": 1,
+ "tone": "soft",
+ "in": 0.2,
+ "out": 4.85,
+ "words": [
+ { "text": "Some", "start": 0.24, "end": 0.44 },
+ { "text": "memories", "start": 0.48, "end": 0.82 },
+ { "text": "feel", "start": 0.92, "end": 1.14 },
+ { "text": "soft", "start": 1.2, "end": 1.64 }
+ ]
+ },
+ {
+ "id": "cg-1",
+ "slot": 2,
+ "tone": "soft",
+ "in": 2.55,
+ "out": 4.85,
+ "words": [
+ { "text": "like", "start": 2.66, "end": 2.78 },
+ { "text": "old", "start": 2.86, "end": 3.02 },
+ { "text": "film", "start": 3.16, "end": 3.46 }
+ ]
+ },
+ {
+ "id": "cg-2",
+ "slot": 3,
+ "tone": "present",
+ "in": 4.9,
+ "out": 8.04,
+ "words": [
+ { "text": "but", "start": 5.04, "end": 5.18 },
+ { "text": "suddenly", "start": 5.24, "end": 5.76 }
+ ]
+ },
+ {
+ "id": "cg-3",
+ "slot": 4,
+ "tone": "present",
+ "in": 6.7,
+ "out": 8.04,
+ "words": [
+ { "text": "everything", "start": 6.82, "end": 7.14 },
+ { "text": "is", "start": 7.18, "end": 7.28 },
+ { "text": "sharp", "start": 7.32, "end": 7.52 },
+ { "text": "again", "start": 7.58, "end": 7.92 }
+ ]
+ }
+ ]
+}
+```
+
+## Don't fight the template
+
+If the user wants different typography, different blend, or different motion:
+**use Standard mode** (`../../standard/`). Don't try to override the locked CSS — the
+template's visual consistency is the whole point.
diff --git a/.claude/skills-media/embedded-captions/modes/cinematic/_archive/memory-wall/template.html b/.claude/skills-media/embedded-captions/modes/cinematic/_archive/memory-wall/template.html
new file mode 100644
index 000000000..da9cec4c4
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/modes/cinematic/_archive/memory-wall/template.html
@@ -0,0 +1,179 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
{{GROUPS_HTML}}
+
+
+
+
+
+
+
+
diff --git a/.claude/skills-media/embedded-captions/modes/cinematic/_archive/portrait-header/spec.md b/.claude/skills-media/embedded-captions/modes/cinematic/_archive/portrait-header/spec.md
new file mode 100644
index 000000000..efaaf0aba
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/modes/cinematic/_archive/portrait-header/spec.md
@@ -0,0 +1,81 @@
+# Template: portrait-header
+
+**Look:** 9:16 portrait talking-head with captions on a horizontal strip
+across the top of the frame, above the subject's head. Optional crown at
+the bottom for shots that include the subject's waist or below.
+
+**Visual identity (LOCKED):**
+
+- 5 typography slots: intro / phrase / emph / dream / crown (centered)
+- `mix-blend-mode: screen` over warm bone color (#fff5df)
+- Single-caption swap (caps stack at one position in the header strip)
+- Per-word fade with subtle Y-drift (soft) or pop+scale (present)
+
+## When to apply
+
+✅ **Good fit:**
+
+- 9:16 portrait video (1080×1920 typical)
+- Single subject filling the center of the frame
+- Clean band visible above the head
+- Speech is relatively dense (many short phrases) — crown only for the
+ one true climax
+
+❌ **Wrong fit:**
+
+- Subject's head crops to the very top of frame (no header band exists)
+- 16:9 landscape → use `champion` or `memory-wall` instead
+- Multiple speakers / cuts
+
+## Layout decisions
+
+| Field | What | Example (1080×1920) |
+| --------------- | ----------------------------------------------------------------------------------------------------------------------- | ------------------------------------ |
+| `header.top` | Y of the header strip. Should sit above the subject's head with ~30px breathing room. | `30` if hair top is around y=200 |
+| `header.height` | Height of the strip. Bigger for longer captions / 2-line wraps. | `280` |
+| `crown_top` | Y of the crown line (bottom of frame). Skip if no waist visible. | `1620` for a near-full-body shot |
+| `crown_enabled` | Whether to render a bottom crown. Skip if subject body fills the lower half completely (matte will block crown anyway). | `false` for tight head-and-shoulders |
+| `font_scale` | Scale multiplier on locked sizes. | `1.0` for 1080×1920 |
+
+## Slot assignment
+
+Same arc as champion: intro / phrase / emph / dream / crown.
+
+For portrait-header specifically, header band is narrow (one strip), so:
+
+- Most groups fit on 1-2 lines
+- Don't use crown if it'd be hidden by the body matte (Pausch-style portraits
+ often need to skip crown entirely and promote the climax to `emph` in the
+ header instead)
+
+## Plan.json shape
+
+```json
+{
+ "mode": "template",
+ "template": "portrait-header",
+ "duration": 25.3, "fps": 24, "width": 1080, "height": 1920,
+ "header": { "top": 30, "height": 280 },
+ "crown_top": 1620,
+ "font_scale": 1.0,
+ "groups": [
+ { "id": "cg-0", "slot": "intro", "tone": "soft",
+ "in": 0.10, "out": 3.20, "words": [...] },
+ { "id": "cg-1", "slot": "phrase", "tone": "soft",
+ "in": 3.55, "out": 5.80, "words": [...] },
+ { "id": "cg-2", "slot": "emph", "tone": "present",
+ "in": 17.85, "out": 22.10,
+ "words": [
+ {"text": "Time", "start": 17.94, "end": 18.26},
+ {"text": "is", "start": 18.38, "end": 18.54},
+ {"text": "all", "start": 18.66, "end": 18.80},
+ {"text": "we", "start": 18.92, "end": 19.02},
+ {"text": "have", "start": 19.12, "end": 19.38}
+ ]}
+ ],
+ "crown_group": null
+}
+```
+
+Set `crown_group: null` if you've checked that a crown would be blocked by
+the subject body or the shot composition.
diff --git a/.claude/skills-media/embedded-captions/modes/cinematic/_archive/portrait-header/template.html b/.claude/skills-media/embedded-captions/modes/cinematic/_archive/portrait-header/template.html
new file mode 100644
index 000000000..4cf287350
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/modes/cinematic/_archive/portrait-header/template.html
@@ -0,0 +1,170 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
{{GROUPS_HTML}}
+
{{CROWN_HTML}}
+
+
+
+
+
+
+
+
diff --git a/.claude/skills-media/embedded-captions/modes/cinematic/cinematic-cream/spec.md b/.claude/skills-media/embedded-captions/modes/cinematic/cinematic-cream/spec.md
new file mode 100644
index 000000000..a49020653
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/modes/cinematic/cinematic-cream/spec.md
@@ -0,0 +1,16 @@
+# cinematic-cream — spec
+
+The authoritative spec lives in [template.html](template.html)'s header comment (DNA-only:
+what's LOCKED vs OPEN, the LAYOUT/planes contract, READING ORDER + hand-off, hero sizing).
+Read that header before authoring plan.json. Quick contract:
+
+- LOCKED: Inter, soft/present motion, warm-cream palette, screen blend, shadow logic.
+- OPEN per group (css field): size/weight/style/transform/spacing + position WITHIN a plane.
+- LAYOUT: run scripts/safe-zones.cjs first. Narration planes HUG the silhouette — use
+ zones.hugLeft/hugRight (2-6% gap from the subject's edge); a plane parked in the far
+ corner reads as disconnected floating text, not an embed. The ONE hero stays BIG
+ (~0.22-0.34·h) centered ON the subject (heroAnchor / heroBands.best), target ~30-55%
+ occlusion. fg is the LAST resort: only when heroBands.feasible=false (no band ≤62%).
+ hero BIG (~0.22-0.34·h) centered ON the subject (heroAnchor), target ~30-55% occlusion.
+- plan.json: groups[] with per-word transcript timings (use scripts/fill-timings.cjs),
+ fit via scripts/fit-fonts.cjs, compile via scripts/make-composition.cjs.
diff --git a/.claude/skills-media/embedded-captions/modes/cinematic/cinematic-cream/template.html b/.claude/skills-media/embedded-captions/modes/cinematic/cinematic-cream/template.html
new file mode 100644
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+---
+name: caption-template-anatomy
+description: The shared, reproducible scene engine every caption template is built on — a matted talking-head with a flowing verbatim foreground caption and a single climax word, driven by one paused GSAP timeline. Read it ONCE per session (it is identical for all 54 templates); each per-template file in templates/ only overrides the style tokens + the named climax entrance/exit.
+metadata:
+ tags: caption, talking-head, matte, occlusion, verbatim, climax, gsap, hyperframes
+---
+
+# Caption Template — Anatomy (the shared engine)
+
+A **caption template** = one complete, reproducible HyperFrames scene:
+
+> **the person (always in frame)** + a **flowing foreground caption** (verbatim, word-by-word, with appear **and** disappear) + a **climax word** (big, behind the speaker, with a designed entrance **and** exit) + a coherent **font / colour / motion** design.
+
+Every file in `templates/` is the SAME engine described here with three things swapped: (1) the **style tokens** (font, fills, accent, optional gradient/stroke), (2) the named **climax entrance** + **exit** (see `_motion.md`), (3) the **copy** (flow lines + climax word) and **scene/person**. So read this once; each template file is short.
+
+HyperFrames-native, so anyone can reproduce it:
+
+- **One paused GSAP timeline per composition**, registered to `window.__timelines[data-composition-id]`.
+- All timing in **seconds**; `data-start` / `data-duration` carry the scene window.
+- **Deterministic + seek-safe** only — no `Math.random()`, no `Date.now()`, no infinite repeats, no un-seekable CSS animations. Every state is reachable by seeking the timeline to a time `t`.
+- GSAP transform aliases (`x`, `y`, `scale`, `rotation`); animate `opacity`, `filter`, `clipPath`, `textShadow`, `backgroundPosition`, `letterSpacing` — never layout props (width/top/left/margin).
+
+For the composition contract see `hyperframes-core`; eases + the animated-property allowlist see `hyperframes-gsap`; caption grouping/positioning/exit guarantees see `hyperframes-captions`.
+
+## 1 · Asset prep (two CLI calls)
+
+```bash
+# 1) The person — transparent talking-head cutout over the scene (VP9 + alpha)
+bash scripts/prepare.sh # matte ∥ transcribe ∥ safe-zones (THIS skill — not remove-background)
+# (a still works too: remove-background portrait.jpg -o person.png)
+
+# 2) The verbatim word timings that drive the flowing caption
+npx hyperframes transcribe subject.mp4 --model small # → transcript.json
+# shape: [{ "id":"w0","text":"Hello","start":0.0,"end":0.5 }, …]
+```
+
+The flow caption consumes that `transcript.json` directly (word `start`/`end` → reveal + active-word emphasis). The climax word is authored by hand (it is the headline beat, not part of the spoken transcript). In production the avatar/matte pipeline yields a pixel-perfect alpha for free — `remove-background` is the fallback for arbitrary footage.
+
+## 2 · The matte sandwich (HTML)
+
+Six layers, back-to-front. The person is layered ON TOP of the climax so they physically **occlude** it — this is what sells "behind the speaker" (blur/opacity alone reads as a flat overlay).
+
+```html
+
+
+
+
+
+
{CLIMAX_WORD}
+
+
+
+
+
+
+
+
+
+
+
+
+```
+
+## 3 · Base CSS (layout · z-order · sizing)
+
+Caption size is in **`cqh`** (% of frame height) via a size container, so it honours broadcast spec at any resolution (~8% cap-height for a 16:9 word). The per-template file only sets the `--ff` / `--cfill` / `--cacc` tokens and any `.climax span` fill (gradient/stroke).
+
+```css
+.stage {
+ position: relative;
+ aspect-ratio: 16/9;
+ overflow: hidden;
+ container-type: size;
+ background-size: cover;
+ background-position: center 12%;
+ background-color: #0a0a0e;
+ font-family: var(--ff);
+}
+.stage > * {
+ position: absolute;
+}
+.cut {
+ z-index: 4;
+ inset: 0;
+ width: 100%;
+ height: 100%;
+ object-fit: cover;
+ object-position: center 12%;
+ pointer-events: none;
+}
+.grade {
+ z-index: 5;
+ inset: 0;
+ pointer-events: none;
+ background: radial-gradient(130% 100% at 50% 26%, transparent 40%, rgba(0, 0, 0, 0.6));
+}
+
+/* CLIMAX — big, behind person (z1), occluded. line-height ≥1.15 so clip-reveal
+ entrances (inset(0)) never slice glyph tops; pad clips negative for script faces. */
+.climax {
+ z-index: 1;
+ left: 50%;
+ top: 37%;
+ transform: translate(-50%, -50%);
+ white-space: nowrap;
+ text-align: center;
+ line-height: 1.18;
+ font-family: var(--ff);
+ color: var(--cfill);
+ font-weight: 900;
+ font-size: 44cqh;
+ text-transform: uppercase;
+ text-shadow:
+ 0 2px 13px rgba(0, 0, 0, 0.6),
+ 0 0 48px rgba(0, 0, 0, 0.42);
+}
+.climax span {
+ display: inline-block;
+ opacity: 0;
+} /* GSAP reveals it */
+
+/* FLOW — verbatim caption, in front (z6), lower third */
+.flow {
+ z-index: 6;
+ left: 50%;
+ bottom: 9%;
+ transform: translateX(-50%);
+ width: 90%;
+ text-align: center;
+ line-height: 1.15;
+ font-family: var(--ff);
+ font-weight: 700;
+ font-size: 7.5cqh;
+ color: var(--cfill);
+}
+.flow .w {
+ display: inline-block;
+ opacity: 0;
+ margin: 0 0.1em;
+ color: var(--cfill);
+}
+.flow .w.act {
+ color: var(--cacc);
+} /* the currently-spoken word */
+
+/* tokens every template overrides: */
+.stage {
+ --ff: "Inter";
+ --cfill: #fff;
+ --cacc: #10a37f;
+}
+```
+
+**Legibility on busy/bright scenes:** a behind-the-person climax needs separation from the footage, not just a fill colour. For dark or gradient fills on lit scenes give the climax an outline — `-webkit-text-stroke:1px rgba(0,0,0,.5);paint-order:stroke fill` — a dark drop-shadow alone fails against highlights (e.g. a lamp). Gradient/clip fills must live on `.climax span` (the text node), never on the transformed `.climax` container, or the clip detaches and only the shadow shows.
+
+## 4 · One paused GSAP timeline (the loop, made seek-safe)
+
+The gallery used a `setInterval` loop; HyperFrames needs the same beats as **absolute-time tweens on one paused timeline**. The cycle is **FLOW line → (FLOW line) → CLIMAX in → hold → out**. Restraint is the rule: flow stays clean; the one big mood move happens only at the climax.
+
+```html
+
+
+```
+
+`FLOW_IN` / `FLOW_OUT` / `CLIMAX_IN` / `CLIMAX_OUT` are the named recipes in **`_motion.md`** — each returns a GSAP tween/timeline so the per-template file just picks four names. A simpler equivalent for the flow active-word _glow_ (rather than discrete reveal) is the single-driver envelope in `hyperframes-animation/rules/asr-keyword-glow.md`.
+
+## 5 · How to choose values
+
+- **SCENE_DUR** — must equal `data-duration`. Typical 6–10 s for a looping demo card.
+- **WORDS grouping** — 2–4 words / line, ~380–520 ms per word (premium pacing is slower than Hormozi). Group from `transcript.json`; keep `end < next.start` (monotonic).
+- **CLIMAX_AT** — place the climax _after_ the flow lines clear, on the narration's emphasis beat.
+- **CLIMAX_HOLD** — **≥1 s** of settled dwell _after_ the entrance finishes (the climax is the headline beat). Entrances run 0.6–1.6 s, so e.g. hold = entranceDur + 1.0–1.6.
+- **FOUT** — flow exit ≈ 0.5 s. **Exit ≈ 75 % of entry** for every element (arrival deliberate, departure swift; see `_motion.md`).
+- **Climax size** — base 44 cqh; long words bleed off-frame (intended cinematic); 3-char words behind a centred subject need size + an outline so they peek.
+
+## Critical constraints (HyperFrames)
+
+- Timeline **paused**; registry key = `data-composition-id`.
+- **No CSS keyframe animation** on caption elements — all motion is GSAP tweens at absolute times (seek-safe).
+- No `Math.random` / `Date.now` / infinite repeats.
+- `display:inline-block` on every `.w` and the climax `span`.
+- **Hard-hide** each flow group at its end time; **CLIMAX_OUT ends at `opacity:0`** (or fully-clipped) so nothing lingers.
+- Gradient / `background-clip:text` / stroke fills go on `.climax span`, not the transformed `.climax`.
+- `.climax` `line-height ≥ 1.15`; pad clip-reveal entrances with negative insets for script/decorative fonts.
+
+## Pairs with HF skills
+
+- `media-use` — `remove-background` (the matte) + `transcribe` (word timings).
+- `hyperframes-captions` — transcript consumption, grouping, positioning, exit guarantees, `fitTextFontSize`.
+- `hyperframes-animation/rules/asr-keyword-glow.md` — the verbatim active-word envelope.
+- `hyperframes-gsap` — single paused timeline, transform aliases, ease palette.
+- `_motion.md` (this folder) — the named flow/climax entrance + exit recipes.
diff --git a/.claude/skills-media/embedded-captions/modes/standard/_motion.md b/.claude/skills-media/embedded-captions/modes/standard/_motion.md
new file mode 100644
index 000000000..cc9eeab10
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/modes/standard/_motion.md
@@ -0,0 +1,192 @@
+---
+name: caption-template-motion
+description: The named flow + climax entrance/exit recipes (GSAP, seek-safe) that the per-template files reference, plus the motion numerics (ease palette, exit=75% entry, climax dwell, restraint, mood→motion). Every template picks a FLOW_IN/OUT and a CLIMAX_IN/OUT from here — look up only the 2-3 recipes a template names (grep the `### name`), this is a catalog, not a read-through.
+metadata:
+ tags: gsap, easing, entrance, exit, timing, restraint, mood-matching, captions
+---
+
+# Caption Template — Motion Language
+
+`_anatomy.md` wires four hooks onto one paused timeline: `FLOW_IN`, `FLOW_OUT`, `CLIMAX_IN`, `CLIMAX_OUT`. This file is the catalog each template picks from. Each recipe is a GSAP tween on the climax `span` (or a flow `.w`); placed at an absolute time it is fully **seek-safe**. Multi-stage looks use GSAP `keyframes:{}` (still seek-safe) — never CSS keyframes.
+
+## Numerics (shared)
+
+**Ease palette** (sanctioned — reads clean on video, stays distinct):
+
+| Curve | GSAP | Use |
+| --------------- | --------------------------------------- | --------------------------------------------------- |
+| overshoot entry | `back.out(1.4–1.7)` | confident arrivals (premium/epic/creator) |
+| heavy/refined | `power3.out` | hero/secondary entrances, slides |
+| general | `power2.out` | fades, scales |
+| exit accel | `power2.in` | the _exit_ side of any move (departure accelerates) |
+| snappy | `expo.out` | warp/fly/sonic confident snaps |
+| breathing | `sine.inOut` | gentle wellness drift |
+| impact thud | `back.out(1.5–2)` or a quick `expo.out` | slam/stomp/stamp landings |
+| linear driver | `none` | the asr active-word envelope driver only |
+| digital stutter | `steps(n)` | glitch/vhs/blink/possess/cut |
+
+**Forbidden:** `bounce.out`, `elastic.out` everywhere **except** the Playful cluster (explicit playfulness — KIDS drop-bounce, CANDY jelly). Elsewhere real objects decelerate; they don't bounce. Use low `back.out` for sanctioned overshoot.
+
+**Durations** — flow word enter 0.30–0.50 s · climax entrance 0.6–1.6 s · **exit ≈ 75 % of entry** (arrival deliberate, departure swift) · stagger 50–150 ms / word.
+
+**Restraint (the rule that makes it premium):** the FLOW stays clean — a tasteful reveal + the active-word accent, no effects. The big mood move + any scene effect (flash, shockwave, shake) happens **only at the CLIMAX**, then clears. Never sprinkle effects across the flow.
+
+**Climax dwell ≥ 1 s** after the entrance finishes — the climax is the headline beat.
+
+**Mood → motion** (pick an entrance whose physics match the theme):
+
+| Mood | Entrances |
+| ------------------------------- | ---------------------------------------------------- |
+| premium | deblur · rise · expose · breathe · flip |
+| epic | slam · monument · fly · grandrise |
+| cyber | glitch · type · scan · boot |
+| horror | loom · possess · glimpse · seep (never bouncy/clean) |
+| luxury | tracking-expand · hairrise |
+| retro | vhs · stamp · blink · type |
+| neon | ignite · buzz |
+| hype | stomp · punch · slap |
+| playful | jelly · dropb · scrawl · popr |
+| creator | boxpop · slideup · flip · shimmer |
+| ultra (flash in the type) | volt · hyper · liquid · prism · shatter · extrude |
+| atelier (design) | editwipe · rise · block · vert · ink · weight |
+| impact (scene effect at climax) | nuke · meteor · sonic · seismic · judge |
+
+---
+
+## FLOW entrances / exits (per word `.w`)
+
+The flow caption reveals word-by-word from the transcript. The active word gets `.act` (→ `--cacc`). Exit hard-hides the group.
+
+- **fade-up** (premium/atelier default) — `fromTo(w,{opacity:0,y:14},{opacity:1,y:0,duration:.42,ease:'power3.out'})`
+- **pop** (epic/hype) — `fromTo(w,{opacity:0,scale:.5},{opacity:1,scale:1,duration:.34,ease:'back.out(1.6)'})`
+- **whip** (kinetic) — `fromTo(w,{opacity:0,x:-30,filter:'blur(10px)'},{opacity:1,x:0,filter:'blur(0)',duration:.32,ease:'expo.out'})`
+- **glitch** (cyber) — `fromTo(w,{opacity:0,clipPath:'inset(45% 0 45% 0)'},{opacity:1,clipPath:'inset(0)',duration:.4,ease:'steps(6)'})`
+- **type** (terminal/retro) — `fromTo(w,{opacity:0},{opacity:1,duration:.2,ease:'steps(3)'})` staggered as the cadence
+- **blur-in** (horror) — `fromTo(w,{opacity:0,filter:'blur(10px)',y:'.1em'},{opacity:1,filter:'blur(0)',y:0,duration:.6,ease:'power2.out'})`
+- **karaoke** (creator) — words start visible-dim; on `w.start` `set(w,{className:'w act'})` (active → `--cacc`), prior word back to spoken. The signature verbatim mechanic.
+- **flow exits** — fade-up-out `to{opacity:0,y:-10}` · horror smear `to{opacity:0,x:6,skewX:10,filter:'blur(5px)'}` · all ≈0.4–0.55 s.
+
+---
+
+## CLIMAX entrances
+
+Each is a `gsap.fromTo(span, {from}, {to, duration, ease})`. Where a `keyframes:{}` is shown, pass it as the 2nd arg's `keyframes`.
+
+### premium
+
+- **deblur** — `{opacity:0,scale:.96,filter:'blur(8px)'}→{opacity:1,scale:1,filter:'blur(0)',duration:.8,ease:'power3.out'}`
+- **rise** — `{opacity:0,yPercent:48}→{opacity:1,yPercent:0,duration:.9,ease:'power3.out'}`
+- **expose** — `{opacity:0,filter:'brightness(3.2) blur(5px)',scale:1.05}→{opacity:1,filter:'brightness(1) blur(0)',scale:1,duration:1,ease:'power2.out'}`
+- **breathe** — `{opacity:0,scale:1.09,filter:'blur(8px)'}→{opacity:1,scale:1,filter:'blur(0)',duration:1.2,ease:'sine.out'}`
+- **flip** — `{opacity:0,rotationX:93,transformPerspective:720}→{opacity:1,rotationX:0,duration:.9,ease:'power3.out'}`
+
+### epic
+
+- **slam** — `{opacity:0,scale:1.6,filter:'blur(12px)'}→{opacity:1,scale:1,filter:'blur(0)',duration:.7,ease:'back.out(1.6)'}` (lands with a thud; overshoot ~1.03 mid)
+- **monument** — `{opacity:0,scale:1.42,letterSpacing:'.12em'}→{opacity:1,scale:1,letterSpacing:'0',duration:1.3,ease:'power3.out'}`
+- **fly** — `{opacity:0,scale:.3,filter:'blur(14px)'}→{opacity:1,scale:1,filter:'blur(0)',duration:.8,ease:'expo.out'}`
+- **grandrise** — `{opacity:0,yPercent:66,scale:1.05}→{opacity:1,yPercent:0,scale:1,duration:1.15,ease:'power3.out'}`
+
+### cyber
+
+- **glitch** — `{opacity:0}→{opacity:1,duration:.6,ease:'steps(8)',keyframes:{clipPath:['inset(40% 0 40% 0)','inset(0)','inset(60% 0 10% 0)','inset(0)'],x:[-8,5,-2,0],textShadow:['4px 0 #ff003c,-4px 0 #00ffd1','none']}}`
+- **type** — `{opacity:1,clipPath:'inset(0 100% 0 0)'}→{clipPath:'inset(0 0 0 0)',duration:.85,ease:'steps(13)'}` (typewriter L→R)
+- **scan** — `{opacity:0,scaleY:.02,filter:'brightness(2.4)'}→{opacity:1,scaleY:1,filter:'brightness(1)',duration:.75,ease:'power3.out'}`
+- **boot** — `{opacity:0,scaleY:.1}→{opacity:1,scaleY:1,duration:1,ease:'steps(1)',keyframes:{opacity:[0,.6,.1,.85,.2,1]}}` (hologram power-up flicker)
+
+### horror (never bouncy, never clean)
+
+- **loom** — `{opacity:0,scale:.6,filter:'blur(17px)'}→{opacity:1,scale:1,filter:'blur(0)',duration:1.6,ease:'power2.in',keyframes:{scale:[.6,.93,1.07,1]}}` (slowly approaches out of the dark, then a lurch closer)
+- **possess** — `{opacity:0}→{opacity:1,duration:1.15,ease:'steps(1)',keyframes:{x:[0,-5,6,-4,5,-2,0],skewX:[0,9,-10,7,-5,3,0],textShadow:['none','4px 0 #c00,-4px 0 #0aa','-6px 0 #c00,6px 0 #0aa','none']}}` (materialise then violent demonic shudder)
+- **glimpse** — `{opacity:0}→{opacity:1,duration:1.35,ease:'steps(1)',keyframes:{opacity:[0,1,0,0,1,0,0,1,.05,1,.15,1],x:[0,0,0,3,0,-2,0]}}` (subliminal failing-light flicker)
+- **seep** — `{opacity:0,clipPath:'inset(-15% -8% 100% -8%)',filter:'blur(4px)'}→{opacity:1,clipPath:'inset(-15% -8% -15% -8%)',filter:'blur(0)',duration:1.35,ease:'power1.inOut'}` (blood seeps down into the word; negative insets so script tops aren't clipped)
+
+### luxury
+
+- **tracking** — `{opacity:0,letterSpacing:'-.05em'}→{opacity:1,letterSpacing:'.28em',duration:1.4,ease:'power3.out'}` (the most "expensive" move)
+- **hairrise** — `{opacity:0,yPercent:32,letterSpacing:'.07em'}→{opacity:1,yPercent:0,letterSpacing:'0',duration:1.1,ease:'power3.out'}`
+
+### retro
+
+- **vhs** — `{opacity:0}→{opacity:1,duration:.8,ease:'steps(1)',keyframes:{x:[0,-7,6,-3,2,0],textShadow:['none','3px 0 #ff3b5c,-3px 0 #3aa0ff','none']}}` (tracking-lock jitter + chroma)
+- **stamp** — `{opacity:0,scale:1.7,rotation:-5}→{opacity:1,scale:1,rotation:0,duration:.7,ease:'back.out(2)'}` (printing-stamp thud)
+- **blink** — `{opacity:0}→{opacity:1,duration:.75,ease:'steps(1)',keyframes:{opacity:[0,0,1,0,1,0,1,1]}}` (8-bit blink-in)
+
+### neon
+
+- **ignite** — `{opacity:0}→{opacity:1,duration:1.3,ease:'steps(1)',keyframes:{opacity:[.2,1,.2,1,.3,1,1]}}` (tube strikes + buzzes alight; glow is a style `text-shadow`)
+- **buzz** — `{opacity:0}→{opacity:1,duration:1.2,ease:'steps(1)',keyframes:{opacity:[0,.7,.1,.85,.2,1,.5,1]}}` (slower warm-up rhythm)
+
+### hype
+
+- **stomp** — `{opacity:0,scale:1.5,filter:'blur(8px)'}→{opacity:1,scale:1,filter:'blur(0)',duration:.9,ease:'back.out(1.6)'}`
+- **punch** — `{opacity:0,xPercent:-55,scale:1.1,filter:'blur(9px)'}→{opacity:1,xPercent:0,scale:1,filter:'blur(0)',duration:.6,ease:'expo.out'}` (whip from the side)
+- **slap** — `{opacity:0,rotation:12,scale:1.5,filter:'blur(7px)'}→{opacity:1,rotation:0,scale:1,filter:'blur(0)',duration:.7,ease:'back.out(2)'}` (sticker/tag slap)
+
+### playful (bounce allowed here)
+
+- **jelly** — `{opacity:0,scale:.5}→{opacity:1,scale:1,duration:.8,ease:'back.out(2.2)',keyframes:{scale:[.5,1.12,.92,1.04,1],skewX:[0,0,6,-4,0]}}`
+- **dropb** — `{opacity:0,yPercent:-85}→{opacity:1,yPercent:0,duration:.95,ease:'power2.out',keyframes:{yPercent:[-85,0,-22,0,-8,0]}}` (drop + multi-bounce). **❗opacity must reach 1 and stay** — declare it at the end of the keyframes.
+- **scrawl** — `{opacity:0,clipPath:'inset(-12% 100% -12% 0)',rotation:-3}→{opacity:1,clipPath:'inset(-12% 0 -12% 0)',rotation:0,duration:.8,ease:'power2.out'}` (handwritten write-on, for script faces)
+- **popr** — `{opacity:0,scale:.4,rotation:8}→{opacity:1,scale:1,rotation:0,duration:.6,ease:'back.out(2)'}`
+
+### creator
+
+- **boxpop** — `{opacity:0,scale:.5}→{opacity:1,scale:1,duration:.5,ease:'back.out(1.8)'}` (the active flow word's highlight box is a style)
+- **slideup** — `{opacity:0,yPercent:44}→{opacity:1,yPercent:0,duration:.55,ease:'power3.out'}`
+- **flip** — see premium
+- **shimmer** — `{opacity:0,scale:.7,filter:'brightness(2.2)'}→{opacity:1,scale:1,filter:'brightness(1)',duration:.75,ease:'power2.out'}`
+
+### ultra (the flash lives in the type)
+
+- **volt** — `{opacity:0}→{opacity:1,duration:1.1,ease:'steps(1)',keyframes:{opacity:[0,1,.12,1,.35,1],x:[0,0,0,2,-2,0]}}` then settle to glow `text-shadow:0 0 8px #fff,0 0 22px #43f4ff,0 0 48px #1e90ff` (electric strike)
+- **hyper** — `{opacity:0,scale:.05,filter:'blur(3px) brightness(3)'}→{opacity:1,scale:1,filter:'blur(0) brightness(1)',duration:.9,ease:'expo.out'}` (warp from depth)
+- **liquid** — `{opacity:0,scale:.9,yPercent:6,filter:'blur(10px)'}→{opacity:1,scale:1,yPercent:0,filter:'blur(0)',duration:1,ease:'power2.out'}` + the `.climax` _container_ carries SVG `filter:url(#liquid)`; in HF drive `feDisplacementMap@scale` from the timeline (don't use SMIL — not seek-safe)
+- **prism** — `{opacity:0,textShadow:'-38px 0 #ff003c,38px 0 #00ffd1',filter:'blur(5px)',scale:1.08}→{opacity:1,textShadow:'-3px 0 #ff003c,3px 0 #00ffd1',filter:'blur(0)',scale:1,duration:1,ease:'power3.out'}` (chromatic dispersion converge)
+- **shatter** — `{opacity:0,scale:1.9,rotation:-3,filter:'blur(14px)'}→{opacity:1,scale:1,rotation:0,filter:'blur(0)',duration:1,ease:'back.out(1.4)',keyframes:{scale:[1.9,.9,1.06,.98,1]}}` (+ a 1-frame white `text-shadow` flash on landing)
+- **extrude** — `{opacity:0,rotationY:42,scale:.9,transformPerspective:700}→{opacity:1,rotationY:-9,scale:1,duration:.9,ease:'power3.out'}` (3D turn; depth via stacked `text-shadow` in the style)
+
+### atelier (design-forward)
+
+- **editwipe** — `{opacity:1,clipPath:'inset(-15% 100% -15% 0)'}→{clipPath:'inset(-15% -4% -15% 0)',duration:.7,ease:'power4.inOut'}` (Swiss precise wipe; negative top/bottom so glyph tops aren't clipped)
+- **rise** — see premium (slower, `duration:.9`)
+- **block** — `{opacity:0,scaleY:0,transformOrigin:'bottom center'}→{opacity:1,scaleY:1,duration:.7,ease:'power3.out'}` (constructed/Bauhaus)
+- **vert** — `{opacity:0,clipPath:'inset(0 0 100% 0)'}→{opacity:1,clipPath:'inset(0 0 0 0)',duration:.9,ease:'power2.out'}` (vertical ink-drop; `writing-mode:vertical-rl` is a style, climax sits at `left:81%`)
+- **ink** — `{opacity:0,clipPath:'inset(-28% 100% -28% -4%)',filter:'blur(3px)'}→{opacity:1,clipPath:'inset(-28% -8% -28% -4%)',filter:'blur(0)',duration:.9,ease:'power2.out'}` (brush write-on; generous negative insets for the script face)
+- **weight** — `{opacity:0,fontVariationSettings:"'wght' 100",letterSpacing:'.18em'}→{opacity:1,fontVariationSettings:"'wght' 900",letterSpacing:'0',duration:1,ease:'power2.out'}` (variable-font morph; needs a variable face, e.g. Inter `wght@100..900`)
+
+### impact (the ONE sanctioned scene effect, at the climax only)
+
+Each pairs the type move with a scene element (`
` / `
`) and/or a stage shake. Keep it to the climax beat.
+
+- **nuke** — type: `{opacity:0,scale:.3,filter:'brightness(8) blur(10px)'}→{opacity:1,scale:1,filter:'brightness(1) blur(0)',duration:1,ease:'expo.out'}` + white `.flash` `to{opacity:0}` over 0.3 s + brief stage `x` shake
+- **meteor** — `{opacity:0,yPercent:-45,scale:1.12,filter:'blur(12px) brightness(2.2)'}→{opacity:1,yPercent:0,scale:1,filter:'blur(0)',duration:1,ease:'power4.in'}` (accelerate DOWN) + on-land stage shake
+- **sonic** — `{opacity:0,scale:1.4,filter:'blur(8px)'}→{opacity:1,scale:1,filter:'blur(0)',duration:.9,ease:'expo.out'}` + a `.ring` scaling `0→3` opacity `1→0`
+- **seismic** — `{opacity:0,scale:1.1}→{opacity:1,scale:1,duration:.9,ease:'power3.out'}` + stage `x`/`y` quake `keyframes:[3,-3,2,-2,0]` decaying
+- **judge** — `{opacity:0,yPercent:-45,scale:1.12,filter:'blur(12px) brightness(2.2)'}→{opacity:1,yPercent:0,scale:1,filter:'blur(0)',duration:1,ease:'power3.out'}` (descends from above) + light-shaft `.flash`
+
+---
+
+## CLIMAX exits
+
+Default is **fade** unless a template names another. **Every exit ends at `opacity:0`** (or fully-clipped) so nothing lingers — declare opacity:0 at the end even on transform/clip exits.
+
+- **fade** — `to{opacity:0,scale:1.03,duration:.6,ease:'power2.in'}` (premium/epic/most defaults)
+- **rise-off** — `to{opacity:0,yPercent:-42,duration:.6}` · **sink** — `to{opacity:0,yPercent:16,scale:.97}` · **lift** — `to{opacity:0,yPercent:-26,letterSpacing:'.1em'}`
+- **expose-off** — `to{opacity:0,filter:'brightness(3.6) blur(4px)'}` · **breathe-off** — `to{opacity:0,scale:1.08,filter:'blur(7px)'}`
+- **flip-off** — `to{opacity:0,rotationX:-90}` · **fly-off** — `to{opacity:0,scale:2.5,filter:'blur(13px)'}`
+- **untype** — `to{clipPath:'inset(-15% 100% -15% 0)',opacity:0,ease:'steps(11)'}` (backspace) · **scan-collapse** — `to{opacity:0,scaleY:.02}` · **power-off** — `keyframes:{opacity:[1,.3,1,.1,.5,0]}` + scaleY collapse
+- **drag** (horror) — `to{opacity:0,xPercent:-40,skewX:-20,filter:'blur(11px)',duration:.55,ease:'power2.in'}` (dragged away)
+- **snap** (horror) — `keyframes:{x:[0,7,-6,0],skewX:[0,-13,0],scale:[1,1.1,1.16,1.32],opacity:[1,1,1,0],textShadow:['none','8px 0 #c00,-8px 0 #0aa','none','none']}` (violent jerk then gone)
+- **cut** (horror) — `keyframes:{opacity:[1,0,1,0,.8,0]},ease:'steps(1)'` (frame-drop) · **bleed** — `to{opacity:0,yPercent:50,scale:.97,filter:'blur(6px)'}` (drips down)
+- **knock** — `to{opacity:0,xPercent:55,filter:'blur(9px)'}` · **peel** — `to{opacity:0,rotation:14,xPercent:42,scale:.9}` · **spin-out** — `to{opacity:0,rotation:180,scale:.3}`
+- **hop** — `keyframes:{yPercent:[0,-26,120],opacity:[1,1,0]},scaleY:.7` · **popout** — `to{opacity:0,scale:.3,rotation:-10}` · **slidedown** — `to{opacity:0,yPercent:42}` · **scrawl-off** — `to{opacity:0,yPercent:-14,rotation:2}`
+- **vhs-out** — `keyframes:{x:[0,-9,8,0],opacity:[1,1,0]},scaleY:.2` (tracking-lost roll) · **blink-out** — `keyframes:{opacity:[1,0,1,0,1,0,0]},ease:'steps(1)'` · **power-down** — `keyframes:{opacity:[1,.2,.7,.1,0]},ease:'steps(2)'` · **lift2** — `to{opacity:0,scale:1.12,filter:'blur(3px)'}` (stamp lift) · **shim-out** — `to{opacity:0,scale:.8,filter:'brightness(1.9)'}`
+- **iris-close** — `to{opacity:0,clipPath:'circle(0% at 50% 46%)'}` (Bond) · **un-shine** — `to{opacity:0,clipPath:'inset(0 0 0 100%)',filter:'brightness(1.7)'}` · **sweep-off** — `to{opacity:1,clipPath:'inset(0 100% 0 0)'}`
+- ultra family exits: **glitch-out**, **neon-out**, **hyper-out** `to{opacity:0,scale:2.6,filter:'blur(13px)'}`, **liquid-out** `to{opacity:0,yPercent:40,scale:.96,filter:'blur(9px)'}`, **prism-out** (channels split apart), **shatter-out** `to{opacity:0,scale:1.45,filter:'blur(9px)',textShadow:'7px 0 #ff003c,-7px 0 #00ffd1'}`
+
+## Pairs with HF skills
+
+- `hyperframes-gsap` — single paused timeline, transform aliases, ease list, the animated-property allowlist.
+- `_anatomy.md` — where these four hooks attach.
+- `hyperframes-animation/rules/asr-keyword-glow.md` — the verbatim active-word envelope for the flow.
diff --git a/.claude/skills-media/embedded-captions/modes/standard/fonts/build-fonts-css.cjs b/.claude/skills-media/embedded-captions/modes/standard/fonts/build-fonts-css.cjs
new file mode 100644
index 000000000..5d5db2486
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/modes/standard/fonts/build-fonts-css.cjs
@@ -0,0 +1,97 @@
+#!/usr/bin/env node
+/*
+ * build-fonts-css.cjs — bundle the template fonts into ONE self-contained
+ * fonts.css with base64 data-URI @font-face (no sub-resources, no CDN, no
+ * system-font dependency). This is what makes Standard/Cinematic renders
+ * deterministic on ANY machine: hyperframes' renderer only auto-supplies its
+ * ~18 CANONICAL_FONTS; every other family falls back to a generic font unless
+ * the HTML ships a local @font-face. (hyperframes' own font linter says exactly
+ * this: "Use local @font-face declarations with captured .woff2 files.")
+ *
+ * Source woff2 live in ./files/-latin--normal.woff2 (latin subset
+ * from @fontsource via jsdelivr). Re-run after adding/removing a font:
+ * node build-fonts-css.cjs
+ */
+const fs = require("fs");
+const path = require("path");
+
+const FILES = path.join(__dirname, "files");
+const OUT = path.join(__dirname, "fonts.css");
+
+// slug → exact CSS family name (must match what templates declare in font-family).
+const FAMILY = {
+ anton: "Anton",
+ audiowide: "Audiowide",
+ inter: "Inter",
+ "baloo-2": "Baloo 2",
+ bangers: "Bangers",
+ "bodoni-moda": "Bodoni Moda",
+ caveat: "Caveat",
+ cinzel: "Cinzel",
+ "cormorant-garamond": "Cormorant Garamond",
+ creepster: "Creepster",
+ fredoka: "Fredoka",
+ monoton: "Monoton",
+ orbitron: "Orbitron",
+ "permanent-marker": "Permanent Marker",
+ "press-start-2p": "Press Start 2P",
+ "saira-stencil-one": "Saira Stencil One",
+ "shippori-mincho": "Shippori Mincho",
+ rajdhani: "Rajdhani",
+ "chakra-petch": "Chakra Petch",
+ sora: "Sora",
+ "space-grotesk": "Space Grotesk",
+ "special-elite": "Special Elite",
+ teko: "Teko",
+ vt323: "VT323",
+};
+
+const files = fs
+ .readdirSync(FILES)
+ .filter((f) => f.endsWith(".woff2"))
+ .sort();
+const faces = [];
+let raw = 0;
+const seenFamilies = new Set();
+for (const f of files) {
+ const m = f.match(/^(.*)-latin-(\d+)-(normal|italic)\.woff2$/);
+ if (!m) {
+ console.error(`[fonts] skip unrecognized filename: ${f}`);
+ continue;
+ }
+ const slug = m[1],
+ weight = m[2],
+ style = m[3];
+ const family = FAMILY[slug];
+ if (!family) {
+ console.error(`[fonts] no family mapping for slug "${slug}" (${f}) — add it to FAMILY`);
+ process.exit(1);
+ }
+ const buf = fs.readFileSync(path.join(FILES, f));
+ raw += buf.length;
+ seenFamilies.add(family);
+ faces.push(
+ `@font-face {\n` +
+ ` font-family: '${family}';\n` +
+ ` font-style: ${style};\n` +
+ ` font-weight: ${weight};\n` +
+ ` font-display: block;\n` + // block (not swap): render text only once the real face is ready — measure-layout + capture see the true glyphs, never a fallback flash
+ ` src: url(data:font/woff2;base64,${buf.toString("base64")}) format('woff2');\n` +
+ `}`,
+ );
+}
+
+const header =
+ `/* AUTO-GENERATED by build-fonts-css.cjs — do not edit by hand.\n` +
+ ` ${faces.length} faces / ${seenFamilies.size} families, ${Math.round(raw / 1024)}KB raw woff2 (latin subset, base64-inlined).\n` +
+ ` Families: ${[...seenFamilies].sort().join(", ")}.\n` +
+ ` These are the template fonts NOT in hyperframes' auto-resolved set; inlining\n` +
+ ` them makes every render deterministic regardless of installed system fonts. */\n`;
+
+fs.writeFileSync(OUT, header + "\n" + faces.join("\n\n") + "\n");
+const outKb = Math.round(fs.statSync(OUT).size / 1024);
+console.log(`[fonts] wrote ${OUT}`);
+console.log(
+ `[fonts] ${faces.length} faces, ${seenFamilies.size} families, ${outKb}KB css (${Math.round(raw / 1024)}KB raw)`,
+);
+console.log(`[fonts] families: ${[...seenFamilies].sort().join(", ")}`);
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diff --git a/.claude/skills-media/embedded-captions/modes/standard/fonts/fonts.css b/.claude/skills-media/embedded-captions/modes/standard/fonts/fonts.css
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--- /dev/null
+++ b/.claude/skills-media/embedded-captions/modes/standard/fonts/fonts.css
@@ -0,0 +1,401 @@
+/* AUTO-GENERATED by build-fonts-css.cjs — do not edit by hand.
+ 44 faces / 24 families, 875KB raw woff2 (latin subset, base64-inlined).
+ Families: Anton, Audiowide, Baloo 2, Bangers, Bodoni Moda, Caveat, Chakra Petch, Cinzel, Cormorant Garamond, Creepster, Fredoka, Inter, Monoton, Orbitron, Permanent Marker, Press Start 2P, Rajdhani, Saira Stencil One, Shippori Mincho, Sora, Space Grotesk, Special Elite, Teko, VT323.
+ These are the template fonts NOT in hyperframes' auto-resolved set; inlining
+ them makes every render deterministic regardless of installed system fonts. */
+
+@font-face {
+ font-family: "Anton";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Audiowide";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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BRnKpnAxISES3H/fJ8dkMfEBDNBRc1J6n1vRgGFPhDY8gebxLCjkGMjwx0S3MEf6Ke57ommz4os4uYjlrHUT9qAtHk0A/iDarZGxg0CLBCDO8IGz9GKhnuNDhAmTAeoqH6MmZdnHaa1chJh+bl8ecFmY/w4iaojccRu7PoE7aaWSGZnK9oIlucWXdZUYS3shnLS5dvBiCKo6CDrrnUlHCXtrbIxfA89aSmCeA0Xw6GILJobSE9sswu1eTDTXxtvKZ4r9WOVuR7OUR7hSKhlgINBGv1jikKkk6bLkq4Je6YcbnOUBn5uVg81YBuTFzum87KkgUD7p/+QJwpHInC0IJ/btmUhOxYuat1lT7vmKt66Z6qEi6SLSmIVpyZaa1zHqKc0UBqNm4JqVHNje2wicdAK0dO/5MEsyJRIp4P99xIuk14qsVW8Wv/WGYk+/ZaZhkVQjULQuPt5GCqozuRF4lasSpSlQXaH0WQdQgJocY5Jp4ncZn+dSwxPobu4QgqJg3hfQp40zWZCKDugq9sRUaehMooR5m3XZjfEgRGf2HKK2a3sRuvJAGhrUOjIeGKCaeyvEn+WBlnlfq7wVqPLfPJuLOENcf90CpxkyVbej8jMo4ZzIqJo3tx9YhsojL/FrKKceKgYLvVyZVqTWyutN2nwmVEaQaPL8VJdUyeI3ARFmHxDnU/DUjz8OPRVhqoDPCS6zWMJk49uBBjceGaSenfn23iIsEYQeeSyc8OSHEjOqluzIiX1LBDY2PPDoRiPCMec8DgOBl4W4agVGj07Dty9/pxhltFloPgoPZOnh+OA2Y8Y+UjfrTCKjW56AukzN3dgbD5EBth0ssBpPvcdCfs2trJVySHmQX6RBy0ORwL53DaKjHu8SthJuv/TrN664YWz7/pHHMkUTEBAgUlISERMHLQbAQiCginIyEAQiJEshkPkngziaq2laZsJP2ap8Sf01fVoWCl5d75MXGaZi8RE0idnCgvjDTv8ZlLslk3scWGuokjcGi9Dr4ZjcLcf4+mn8CCy/g9v/ZsBvFL69TO7C/3Ov8/Ad0/AVH9J9wX1/vSBGaciJtBRu3LXz9R1NK4/l1we85jHx49HXdZfBd7nnecSfieH9A3dLxiW4dFWhf5/eRcCwWedlTaA2zBwu2kUKO64gcEHBB1zoOLsPRq1CRiePKzhBwCrdJS1hKdaDBHwXhyiIpYm+QzfzgIywDLMfiZWtLk71vo61WlBh9Qy/3sNuydgAXZhNDyMtSAazO+RxzaheOpjh4PXpgMGMOShG45Yo52VAlMYD0AW7IFRQAASFJSO3ef/2ioBf0anQ+Kl7Y2lNgjuFDpHUulOYX/057dLFtpGiiDvZwG3Gu7oNKZETJYTKwIWR4v+1ImGteaNTR8tQkWApXdiIN8UtOyeXcnkUfrKKp5AfRQsIObCJvMbFRUAiWfmD/7TQVeBpYCDALD/tkgMeOAFgV7P/heAge/1FuABQNkZmwDzQIAEyIBJPKAAk0DxI2AdGAQvGRdPMasu3T6r64uufl2/1u9zFRSOgKNhEhwLZ8BC+NB8EinwMwAGIShAz8Km20ikojj0KQQOgyPPwo18vt+Du6WnG4DP5eDvf3+jdrcfdAEAwAPVg0Om+YH6t2NG1b++MUlgiAj6+C0lxj29RDEixrCUX9j+bwPEE8ZCL3N489Hoq8Hd1BPaG7a4r9+1oVmn/2l8d1C9rHBF3XQsrant7KgyD2y0thWtXNDa3tKEXpNG9fPlz1WgWcHGTVs1b9GyY6G2rds0KNz/XnVo175IWD97Waxo8ZIlSoWWLlumXPmKFSpV7lSlWtXqNWv0Pnv2e8qk087YbL0LllrCrpxDhUpOiQJAuzsJ3mrTUYFqzZPi82IBCGef4g1UiYU+CUWDYZFTOCas9Elo2iRUIpE+yYMGi8cUVaw1kc3wwLyBA/aBzWLYYbOPaeqHyJYpH5ikwGN0x53j3PrjxLF9ZsL3AuVmcwZ9EoSD17ARYgJ21eZdoqZ/V5ietDysMceqTRrTWBASxvYJzQQiERaN/aa+cL81Ec3mhjCGSXFOdTnD2AVeEUyiDs3BQHSWPKunMt9vEq1k4thVO50wsNCcHGnSxfAZBhB4sUnYTEUVhViPOp/0oEpIwQk6w0xI2UL6JG9aXoMhEp6g6aSDG8BDqX9jPdz8/LkBAADcAwBAjQMA3itBPoCQhx4DAHUCPGF9OVQ8u9UPk8mw9DTh2arkDyCXy1dq22o5QuRuX/4BKqeny7adWJOeLQW0kLLvIKwu32Rf8VnH5UD7/PTCymcIx8dnV2obiwmkcmllnQsKKNR4PkUhkNYbV/v63g105y6KBzwbqdabCuFsWZMERK/Qdi9q1wv7t3FlEExxMOzmOlyP2wsJ+d4h6ibwBxnAX4C32u1YE7GhYytas6pH3hVH4NjG/l/93Gbn9q86Aq8wu4Uu9upbCqQ3a4crWhnSbaAQRUM2o9FeBz5tYW/ozMJDRK+3BGG7Nk/XW/38Sd8GcHTzXRRlatpOzDCLKOKCsKP4nkScU5OqjmRl2xCJJIeK30qDEaYKxbEpfqNrpEmOqgns5N6pdDyAhAUL2AyPs+uSKE44wE26MQEDmChiuLmm0vClopm1NadJ9AkEhYXgUMUXJ+t8U4oxBRUqItMtJnExhMNMwGG18e7VoYgIsKkABLzGI6lIW+6/UEsU0FPDciv+YmJEEbSLwqXPzRu9lIISLkuvsNHPwNmMsnI06MfAoTSqPxxFGNcmFMRug9iLlEtkpk1qWCIco4geBcSXtOATGnBI7CIis9/TVwb62W133vfSTWpP5+AQv/P+R/GouBB7RhEv1A9g4bYQy5SoS7RXaWMMuhGLbK0CQhhXiC2ih2pZsNKMLd9IGke1SKc9hpNjjJG5/mhVufSQLqIkIkjv+UAghZqK0v1VKVRAQsBFSUtY5uFPPuwqkb1LxGwbCLMsizWe5bokA8HySVHRax+2Y1MA4qghMNFcEiSMUZaNdYk5SyX/kjJxIcdcL1ObJbMZNRkYqnvsLk4bQFXzusyq0pUDoQysItASwlVjR1F1MKi8xFb9jfxDSWoAlGkLG5IaSBtDs16op10Vs3zf25iFtFMUGSP1RtrF2cbauij2chRaRirJbAXQoYgYdDuMIMENATPWTqZLJ3uVVhhiVAcgncusjSqyXbOsi1zAmKOcpMRK2TWUC9hcXHFchipseY1MdLGNJdI7LYiPjLKP6cFSPssYg4vRzaX2TvlxYtTuVFMbuSYnx3y+idUVf0WO+zC0vGxJZwDvbuxgxRNJjlZFJBzu2CjIueFFebmP6bsyxZPC6mKvLkhQjKGuY8t5HDY8/S7eM9cD6s7RUdp3n9KjttlCiE65tVSs10OnVhabKYn9eqmY1XWx5xQL3zglkeKJZHFcpUdcvpyhm9yeJqp4H/h64ZjXPNAkyYi5IbtT1z9Lo5jc/Zp5Tg8e4pVL+PiR3PAI5qRuVDFOcu61fUvyJGHyGxUwU5nl0hs4sncOVsYMliSxkfZ8ylECkXTjaDku6GZgd30s0KhocYnE5Biw9YwUxAD5wnMFqHonkpyaLtWjrtICBX9LnqE0F9y+YKBBY1IpHbWKiqjEpRiP3hsrTGhy1H84gjY/9LDBuOASUwLHeoVfVZhohykFc16pzVykKe3Mq+V0nwUFVdj7sOND2QXv/bL1Nc/eOd1RjaLENF0Rt3lDsTbOUYT/lfdFo0wXx8wbraERLYPkeHCeKfRcLZuUFKiwkr+9E+T2SEUcJOAQIRneX2Nr2fknuu4nowP35mLDze2w3NEyMgSIBxMVxbVIGv14mpLO0/xfrHSh39o23aF2bCVkz/NWpqsHHwulln782XIS0iChS+pwlVfo8rwvUiU27YjcYVV4UE0iPddL63Wd6PYzTURgYfWIngtuIXOrySiy0kwFV2kLYDs7EhsQqfPIokxvCjBRw35TG+NpvTpy9ZfHmeJVTooJTFk1SQh4/VE/WEeQ5bTMGigZS4qRYjHKrX1VghUFmRZuMR+GwpZdnNY9SxCOowe5N2Uz2UxCcUJwqUmUaCQCX7buc+Cm2pYTzd25U4639TWB8Tr2bszGpDKSlEjaSlHP32t5QLG8LqMGrnSnj6NJu4XbI1qqzQsNy5+07+xZwOeZFz/q5Q5GQMFz7oUNe2JClrkLxhW9s12hO38WH0ci5DeWL2QgMVCTKfJUn2pIKjgsWIsaTN07Kfm94yyqZQam+OeQ762OudD0cfRfnf52RGXYfd1N36z3LKmkk0Vx88+9SC9ZGiJzaNAwG0gG+GK3DzYNBAjEF84N55dvsthoTPeP+XeI7zHSkOak3//ujGyzW6bJBgE70x6KhIQrSMj2FBiRgJFu5HJDt8B2LzPwRjYLFWW+byXbsWEzsx/a/R965wIG2k33LeTL/Vt8YzjntNDj7OBYMuUp3iW5SSm2EAzv7RaobbmZRrmRPG71FNTSoKrl+hdXxE+xI8YcGaENRY6whWZnex/aCjkRhsqQfUZYgmRasjHlPhNjR/gxmdLwklFGUOVETcJ18ejjghywzGheFmAs07LSNf7JXkpZoOs5uCxXrrFAywao4qeuGivMBcN9TLTNTO3lyylsZ3bs75t+/djMGkZ2ZM6rXI0MkTF+oWrP3jlf/sQFwbnLLNkNvnJJzX9FUdx9ucpEzh9nhhQOcOnO7Jr+WX6wIUK08nuZIXRhaFioIs1dK4QW9FTb7C9JObkipCc2A1M6iqFOYzIUEXKrrGxXu2xGu2IYuxaG+5Urr1KrwluaAm8Uw/V98JMJlLj/K0nUjEOsh+AqP04kIvpFP18vb8MmjpkvcEAjFVnfyvMxKFsWicTe0dOYAqtQ2bQ3c103dQSBzRCPbQR13LvaYnKh1GEktlk/M4+zbB/GdozuaGKRjmRg0tKoN2bg5BUjbKQEStOqdWRRrpcLsA6z35ga94lFYikdG/eE+yHSTD/vaDPIsDyg5RZE7F/fx8OEOuQzcDoCFBId88u4fafCzUWbz1D3HAYLfNDKk/bvsJePW+5LPeAbT2DuMMnSRZUVPh7ez/vaUc5ASA3vcqcbhdrqnZOe+lmhjsYe0eveDj/0vm+iglUL72o4/VWB8VVjmNi96XoFYRGH72Pqv8oHZ9a4PQ628QXoIy1DnY9caxzaD+wMmJfB3GhnbYNeYLCu3Qg69n1jOecFh0ah92YjMdgOvy1gRdiyeTv2GH2w7TiPAGMQ6hA9j1dpJGDBfcS3pQqNqjxV21y1yf2HyvQbd4CekTCD3vjtxfg6dsou2LQT1buLYBYw7PvGd/ArasEkzDbqsZUVfoa9Fevl19bjhq620qfd79xi3HK014tJy7gOmUiZkBcQ82H2w7OnU177Pvxr3bywHX8mhhuj+lKsXP4JNkljYioCZqcw+97/WT186HOE82WNmN1eVNTOFkt6Y37RTsXJrPnz2xGJGI2i+VA5uN+eHOL74gDVt9Eiya/rYIs9bF2CdpK4o9TdVYRs8gyB8IasGupUpNdZj0jZGTsrBLh7IiF8nuWQHxEiX5NzgIZY0xzIg8sRhSRdQVL5k23FfSJ9ZXxbUFs+rVG2J7Yr3SZa7NS2UxD5rJww8tenOdz/sW2ztvQsAas+jZfLKknP5rOSonSZucZ4bitAfmotKgI8YUlr7Y6S09nXKiqzf5hFj7RSAsQqDm6hu3ilebfoROL50tIeznCHZ0i7uSD14XWXWEoQiKMtBnIweCykomcW15sDi5rFLQ0ihRvQt8GVZe0H3nwZ4QjXecFt8PWyBQdef4kQy4GcH01W61OrbdbmjI8V8B+aRmdHQb5hE2ftplDOnk2grtFkom3RLK5zLpKvjVNN54dpGODBUC9mNmuaXVR6b8+2u6aWaVXo0dSIUaZ3zTe3peSCaR5oT7aYON2qWZW9T7GpvVZlJ7PAnNIpr9/3eHjV97Xn7mC5QfBWghr3ntO1F+5YErwPgnTPdc+gF2B6AbRq8DsVryVrODI1x0kUyBEKqwlBmAJIkOv2U83hyihqvJbSXC4dqDF2x6YrYI1yLek+Eeg0Nbgd1caF1PRcKBehsu6PYkbvVTkwJEDykGsCZjzAyLdEviHlEK5DcoIcAwpNFxWvoahbeyfnnoJOpebR3SyELS8fkBpqYhemPzwCjf6LrWMp0hbGVhulg+Ug9JH6RHp3bI3vdtesKviZUR3iZJTKZS7aoOln0wCXptI8J7OTjGXQsiA1cX2MKrXWySKpT6mjU6aZRHYVAaoQE06EowdP0xN3r5NDdPJlYHrJkJdbTZG2kFptlA6Uu2PxOopGKDUQHmCIbbZLB6sN95lpVoGL2BLiiDcuzaUkyZsFCbLQ+Zx2GWJgWRAqq5ktSLUibFbTT8yKFAWjw4/K2E9XMDPpwFM32UzBa8n/gpl/2mlGTYiLYcuTw4XYbpCBKnAptNRDHbN3x1jOY1QNXk2RcTgaopP/QsAiag6IMipjkN7M0iNjQEDOHX02erG/VZA/NZlOXWisGZDa78961ihiFRtLwG5mIexcKDd9YazKkgzaKVdG+f9dSI8IEY9IKkKEijQTQZghZQObFUDWYSt0fWuV14Vzns7NcsJrVg5BVnp8mPkdVoGxE+q4xeVZG2pA6e+ZDLhGXtyaXXAv8jUpJ3INIYf8OrKCUUO0yLNbC1JF9G1M8WlFHreM2KWAWDHqjZpolhwzzdJEb4xWs1I5aY+HC71SP06EAPMYGKVo8WqyjMNRE12Ci9L5kY9CoywDcp5ZwRwFpQ9N/YX3tm+7Z+49T9A433uBTNXCX/sgBaPLbOpkKOYNz1NMcLsDRqcS6EhyBIN46dSjPcpGa+zqaigwgWVg7we6YXkaJq1JFLgOAp6hxdnA9qA/Moe0DpKq+xEh4m4miE9gkMg35GwCCJ9SD8kh4LkJkn/Ewdbg3aK/XaNCFltti9PyT0GnGEYmHQMqraBBKpvATEhlDQ+uvb8GlS66CHYKVhvwDIXWEUHDRYAxRk4l4W6SSV/ixLokI1Q+ic4WHRQO137aSYU80w6Xq2NOb0ZEdFAG6iLzSa8JYShyZtmDV2DzxNN4KSol7uwZ/Fatsk/Yb763ffsvpl5r7z2TdsvAwnv9gX2Fv8oUEuMXM27d/GsfpGR0mkydjDyrFGmghyUbtkQdpVdyzUmT9YF5rpTqQAWkCFLD6++Q2cKL0TiVMEvONrDoEH3OVFaYBmkuudzGcIVUM6j4YWlnj1lXLqnSRae8aPv4LaDl/mUek4DxI4q+Mxx15wyk8FDD+2JUrN1z9/oQ5xT28D/4ewWt2XILXMMAJUN7lbHtOcUGflGCJSjxGfQsT1sgpxQN7qMYc4ZonWXaHc3N2pFO+xAtpxlqlmvN8jytUW5EryoOnp+ky+UVU9tAoXvdvHXQumyo4AUA53n9kTnM1wS57gB5m3ywybEt81r3deh6bdb64vI6rp2gwGC/WweBMuqmxObKz35H/bd/YnklOWaRd8xub9DxeJO/J6+1rfULaQw/6gouagqH/ZKUIslc6E/lzfG5cnzj8mSGtJ22fvnVrxIwyzad/Fwmbti/tx3/79H/lpZ9X37DCixTp82LYcb5M+Znx2fjQtOxzPQAeqCSnHaeaZEy8O8EjZDsFzBSFQ99FZuQXefqoDWxvMRXaGzeIHLlXAO0LnFgINHQNReISud6rY94QwzMjwAYB8HC9CBsBC/99WxcQXllRH4gcSZig1cIQErnQhsIHrkWAlDaKtKonXrXEknpdFon1aWXLCkN3q49+zCNcHkMVi4neQrZzqhiPWNkvs+ESAItUS/rZH1fNE3VKOMdroXWMibp06nOFGvquuRpqIRL73EKwNCl2a5ba4P0Gi5Bl1iCNAvLwL4ANJdqBERXLayHn6S1eOr0yuXlxK32zW3v0qahKbaeZUFErGkEYa2FgFo7JUjoPeUWj5v8aVSxTQtj6gOHeWt43hkgaEIUkOK2HNGzdkI7BUQnp2VOc2MF0MAOWlSIGHRfDhuZZrTTrSwDe4q/1V0CkaDo1nI+U3sRQNe/yseWyK1k7LwOAQwaAmHUUOjZt4sbh10t8xqOvWs7IFAAwGPfj4EkQo/6l+6RsudLleibMbg53dQao2SgfAh+bG6QA11n6REtAk0SspmvCdNpHdQ2tbVter1ySxRk9iYHaHsAZFqX9W+go/LU0emzypuSBk3GYY6BUfpSGZTK9kGJoTp2YboHKk3HGiAsIdFFY8aBE9OSJmjgECsGipG61Cij9DmfnqWhAg1Rm7N3t0J0sF39ZeReQWSInnUduo71ynlA+pL999hF6DxiYEGV9tXG1ky5Ga6kF8xrKZbVwIyFUFew4wh+jv/QH7D3aq52AIiCkK8RL0QLaW1etq+BpmdNerVHBIXRM8TUhZ9HwCTkJi1p9t7w4uy1mTVY/VbCa2Y24TRELzmi2fzFooOVJ6SHA4SgZYY7b2Aldstfu74fGd6gFUa+ZuZEPvbgsR6GEx4x8yPHIYdn7hkFLl+VyItz6dT/OO4+X3GVYQP6O9wf//bLqDAviN/FSmzWrf/aozkwB2hhx7SZPvcqd3qEfOpdg66xDMgUkOx6+gaXd9BU0ACNxvNor2ZwimsGQwN0KI6XAFIfd/WGyydOEtAlyiR34lpSR1opmRMcjOv16k+Yjy+kaLnZGopTYEHKUk3KT3pCNmlmJE3PshlFi5uKhlOUvWDZM0/g1eAJ2K+uE3JIMwRWGYIqFlCdORott5AyH5/Qi8L0+wVDHHJpGqWjOZHmVpag8/a0ekf0Q/2a1cx6C3+Rxgt15CCLnTZiEm13BuPDuw9PPyDtFKdOtNg2i1Dadc7FIlv2XfFu9jdOFp89m5bDQ34DOYF6rfoIwk5dBC2yS5ZWG7qp6akHnh/flPap9lU6tdtQvVRifwA9YLTRX2mBDZxedao993pOWb/JTKJ0bt5AMiYSKBiG3AIsLqpSkRs2niO6pZD+3KLEwGZMM3XDQNEmqjavJ5tWFQfNT1yHtrNDqaQ2brpBasjpY5Lk2Bplbii1alP5wACpb7FSE4p5OrChXMztyFnoLEufinZUDBlbMmRm2EE3TMc7rIZTWI5KdGX5fITN2gJtAa1syXXCag5XSlHjNZRZyBnuJD012Lw1AOPf8zPsPZQ7k7alBfP3+Gjyi+9/EWhvVMyqD0q1tiVcfqdTFxXhdR65e1EXRLK2J8w9KIp3yxN0sqOhuHV9JkYa35BHT5cfnetn3Qmgvtir7oV6tU+1TiejKsSVojNqHjA9gZ6wiOr96qiU2yh1zP4YVeoT9BMT2yFz2eROG2W2Cqca6F4o0Q6wGuZ2zIEABgeZBAmav1XBegU6hqLjmTF+gmjB34IUE4E7lOyKKZRkufXJsEtS1JSlH7o9FKVRNAbQtYmfvqq+Cim9iR9uf0iugotgZgLxlUz9DPfpVTHJw4iUnoGL4YJhf/TuLGkR7Eq+je+dr4kaxoeeDImi04VJwwHxX18+kDU98k0WRsr8ZETr0vfGcXmVxKVn5KIlcVl/uYOcuQtJiGj3Jbv996AS4zu941wraTfdvsdTT/l6zXR/jc6O6u4Ujgn4xJ1ahLEheRQaTV9IrdF22Yj2qbZfO8slKXjtgUvXmONNIoTlQT4LcN3/KDoeH7hg3x3vjyNAFUVJ/XixSSIul6MsTKkP4rAEEEZCGuurDOdw8+ZG4psymvChCGJ4uAUELJanJhrzeC4qX1JNlfIoxtTUOKOcX0UViHo4l4w1XmAkxDEY7xPi39txjgO4E2PPR56DLNEf1rh+gbqQxEqTUbcgcDQ9rMD7qCG+R2gsTGSlCKlnF1HoqHMLfIDfV5aJovfvAF5XMe7JyZjv+ygWV1YQwrpPODMxMf/dW6CfIO+K7N1N6aBY5PdQ0Vrv0yAzJHfctHDtg1AQJSITVKRHEZLjIsjM/eZmSKob4TnVAHQiM4vmVKkc9KwsJ3320Z0BdIdK6aT5HLT9pDmOZybfTwmt/xUTGjrnfn1oym8gt89kffz0sW3WFtVuzR19Ogr4vA+z1ouzoyDqbmKMrFwanZDYlzREyxLjoyVGaUxiQv8aVcRIgLavfVmkiwsPGq9Ies8s4XWtoA3NmZ+v4u4dxzxmMugoUaifUMsOnly5F6qzsnRdDiffk79V8tzBPPYVTYcmh/j+dfk98nFi/J5lPFhw55+lT0mhuW9EMP1letd4G10Ez4TySSl0WJTPDyW9Sj+EUJMk+J8TQxO7McF+G24FySb+cwhUVbNZJeMhwFhex1Oz4tyvxofGy/6gqCXc+I9Cqhl6N/4u6wkdFqn4oaS28S4qqWsK4siFFdHr1RRO4s8EveJwDEFYEgReqdhLff+W+X5P7FgK4N4s+1kmey2VffLkTSj9b9aTx+zX95lP7suUb4D7BPmSykdpT35DXt/b8PoTG+S6+w6yZh7rQnTerQ/3XZ0XaUt9chJELXr89GSqLTKqkf9oXwvC3AccIMzJHbeGb6gzHBx2+AxKWg/yNdbWp61ArrUIV4siFP7x2cuIQ3EriTyyLEgYs4+MEU5LIuT+pHkriMMJeYBUI7yPDZQvJ2NCJFH5CdxpWBJyO17JPdbJ/FQ13x6/7VHvLvTBfUQv54z6z3pb56ontDGy8jFPyOc+xxAwBN/HwSVEvZ4VM00UiVnR07C+nB3dPN6c2kC0KXkdhdOpxAaltYP3KWaA4scIdvaAUYraP58kTeMoyRWAdw6R8Bncr4800Gs9i3jT/bz+NEwaWII2ygGHfQweJbnGJ+V18utTV2zh7kaa8gAyo2itOwn0DsHgwykKXk1WcaSq9Eo41/RPf0yZZgfqx+AtS++K7dxz89F3kdbqPPlu+sk9TXQVz7qwjZgHXGbrd2//GBglK3GKaAnzikpyS915RP95WnaELWG8+V/SGigogWVA9msatfvjVjmMQWKNQGNfdzSdDtFZBnYXSwm3xWh4LUzov14DBy2EFh4P+ZQdHDS3MEKqGa48m0s+SDMtZHdSC1RPT+E4A7Mj14YALbqukLZEXmYR2ONt+LiIOCt+MUoEF8g0FZ41F06yl3isvM0ns4+TOciDESG5vPKbH4/fpFrFZ0+tkp6z6FZrIryC+AFSShY/rkx6VjrABR5+vcgNCJoTNufVnHgUYdvl7Hk87sQWCL4PD1LbXQiB9PpuPkMOSicFSr40LixvDT/GIfFSwsIj+3gkRuvmVg8GGo8KiECHeaHQqMBhdCuwNKlWULdh0amJAaAHvQNLXYoPX1NePjI1U/VH1dRIefmJcOYL1a+Xl1++t0wImILJWyM3VqsrM/rSwrLhOqntd2lHRj8SpsLXS0HmrklmJpwdltaXJ2oRFsh3aha8Kgzpd/weDWQ0mlizLFCz01RhBbMXB3xXBSJ0kzVY9jIJXkzMM/+WlkZGm/frYBc9oGh+x9puiRqKgr5D6jppL+3pvjIOdHECBLz00D/XF4Qf5tZaeGObulnzGEBH2Crg3Ys0OsLTL73yFvbvyRGGVoQ3d5YGgcP1A+pF23A2scmGPlO/5d6ubXfN7ZeOZAc0rZ3VThPyWY8Il5rvFuzeVnpvsYw3q89SdTJNf/mHZ/8zYGTr6y5boCGebbyrEGaUeqk2ht2P6c/rhEs5eYqDz1sct7wXEcKwIPzO1PqCMIVpMOkMj6uKpjaftw1x/v3niZmsOTVaM6B5a7ByI/+AAKYFsk0KOiyMgpU5VwsEzT4nJnsTWoGDABk5C11F3YIABBwA/Cmxlq3HgNtPA8qOkwrjLuOln/13jKW+lWKDcaGf2cALrh+g67P/f6ivPTAeVcyecTeuX1FfL82JadtUVb12bbXzXgaOObOtrdu4tNxx5ghc/HnO6QLCB/SSJzPu2g+mLs5aAlH0KoCw/1FXd+B16S0mqC3dsrKHxz3uGFCjoJdIBQyoKueLz2FJUPlT1j4ffkZ1waE2CTYtqovdBD62oawkFLkWd4ZHNDr4sSijlgYpDJgHV2hcr18HlVw7c/WZy3ibloHCY70Zrq8QVPKSrw6t6y5aZc3zuk72GSXntwBUg3m8oL7MOk04UosCDK5vH4NKXp25mi/T5Cf9ZMArZ99BGl5ksR6tuuHDi10OqSCUaXHgR8oRTXXmzCuHluhVX+J3LTxrU/tScsc09S7reOIDqpYbieR+CGetrnedIi0O3OfheUsKUu+ySaN3+VcXqUDnsQKdbOgL+Hr4u3vH53UCDgH157jIfSYFKWZ0Am3KyL5vmjK0K/9s3LS+P2+HRioXaANA+1dqUn6CAOVjVoG3LhF/ILxtL2MHap3Ys5zEKddt5EnIOj+AuC7fSp4sfc7T6wd6ZkfbVb8sKWQCcmVvizjBIAK4RpqWCHhbREgctZtJ6+WmrZUi3+8SaFOtcFPLvg+8aSOQF/vW9WTp35haNXJrF7AeAfFUwlRSeKrFEiZGVwpPpQ8fChC+OsFeiZb4Z/0A3nMAwOuHIjsAfFjvvfDk/z85B8czwBA0gAB+6NQY8WPjO/8zApSvD/mWOomB66hln7z8U36U6GxVlP7A4EqBRUVN14e5Q8wwKjXWn0jSE7jiki8aQ3WiQE99oz2IBPGBa+2/oZ+xpOrk52Gd2WZt/WRRW2dt8wVD9Yn1L5jL/2BjSrOxPhDf+iIzY/3A8Z5+44EPubLJ6kS35UwGa9yc7O9B7Zm8ms0TSFIB33h0cZKwPvdFFdNwdElkQOoX3P1P9tiklhl7r9RdIciIohVV2/5/NZZg/j7u/Ft7DCPZzH4G9ZTtxdz9B4beh9n3dUWl9qFCZhWvOoJyN4lbubkpxJLwSfro9uEN8rJBSwp15wzz2p76OG6o/KiiP9QSzQy9QZlsjt5cTW/wqyIlTPSZSx2NX/HLXflNQV+TzleuS87Zknt6dQJKd+zH9FVe36u7j3DVg5bHbpqrY5c8wLx4ZUH5DETIadIfWFPNWmYVDLPGFqqzZatuXdn4iaQcZ+1sEpevaA2ia5PuCFB7tuPdc5nObQIy+Jx9Pucayxhii054oqzhjmH8QHMncA/VA1s3vpj7B4kcuitfWiNWEdmpPV4x64PkwjYQjQBZQNYY6Yn1cqpYvzwZ0Kgd+Y1Jn5P1TbrlBvEvs4E8Go2TqWAK8r1oZEWISes5cKI+6kMgU5ShffSgWaRKdttYmmmSpjsPA3nkXdD6SPpOxTXcYJnwRQrhhgJ808mLCdRsihFAgroC/eb2BlXwgCreABie/XgaSqC7p6HhfH+aB47h0yAk9ad5imCkmE5gU9ydAU5yPw31MqT0bVKmkTNT9/Ina6LVQesaWrkrn09Mga+ZnRO0FfPblaPTKr9o85Da3tSYWOPJ71adWrBUyRgYWK/PBl4208zrdZtPRCxznL1x6qUCWvXauLFKzn1h8cokRIaJIfXdACvVxnI7mI02kIsFs7CcmrBpa7CqLiq8KJ+UX5gb1aphe2Rl2BL5Tj2ZhHaorUfngf0MTTatY2cCGph6ys0hEWsSlbZ8O+38iAk1uMFUrEbIQiTeGin+W/X0OSegf/sNp40/iJ/yhf31EOHAX8m+qVBhwkUgiBzRTkG1ctxevASJktDQJUuR8f+pLGyINOk4uDJkyjJPthw8QiJiElIycnkUlFTyqWlo6egZGBUwMStUZL5iFiWsFlnsC0sNWWe9rbbZYTLQ4K5/ue8X/zRuwgknXfUVgeVW6Lfabv8QwF+0KLvs9Obty3evX3nC8BGDiC+XDdkqI44as8SAQcscMOqY48674Kyv/exPh1zxzHOlyn4x/cIuVarVqLWa7dfUf1K2WqBNuw6dunRbqEevw4740mnf+NZ3vveDa6674aZbbptyx7SfPDXrPw666FJMB+e8eOIvUPnHyyp6Nb9wMhh84SQAKwE=)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Baloo 2";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Baloo 2";
+ font-style: normal;
+ font-weight: 700;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Bangers";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Bodoni Moda";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Bodoni Moda";
+ font-style: normal;
+ font-weight: 700;
+ font-display: block;
+ src: 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2yNyOpaIgupE2SXjiXJCnwDpSv4tTle1KXpqgjfqrU4rX8i1acc+gR6C/wly/reKXaISpMkixsPI3bCKluozhDS9sQvVja8NVKiTxRDFIX9yDRZXbXMzUOjuwzKJecG0b6pD1dhmu+YYS+OHIphhc6hxe2JdaadTwzgep7lLgmCYT1UzGm6UQ6J0qy2gbk+5BsQ5VdjDVZZohFTsjmxavWINW8ILFR2szLC0DQUGFuPNSxTn+zJs/iT8AI6ZkXepWdmqvSw/fQhRc5pRxNDK8lD6U1qENKuS+W+v4r0zFmfVAAZyWBXSea3vHVKAYWbdpGWFC9VDnqgYbAT97b9FfyCa9+2lZmFDXRV3tIVCCNEUGzVkQZHy7rYm+ydcrtBbn2wigTqU3upyCUNNPuuPhA4cuc/g+qYANMxJQYJpoToj/EsnbNRz+br9DN/lYsIjxIzRafGHF97ckxXCHQMaXzujlFt3TNFUdK1UPPXpeBSERjt6DgxuHaJsSnSJJE9osnXecr7/uPGvYgD0KtwNX2kFgiDdnWrYnoZ442QHjAadbABaVaS03lYlQzytDHzvakckkkzKsdLtAe5tmipn1y9Sb5dw8SDJr1tYkgZM3qtKOka7e0hAS2LfJrKM/+SjL+NU9KuI6wsXnzUQN8biLSAGonYy8KcrOzvOlTHXEVfHCVIS0kEPa9jkVkeRd6ZEe11yeKCQJmh1UnxjGwCZ/ZHzhnHTB38RNAG4nurUskjoXhqH72c9Q24q4tbUudDz/AZKQis9nP7hCsmd7U+nJM52xk8PLCkmQcmQsXWImkiKbZEs/d0auzqIliIFut0l1WoRpQNLNUPczKYoPMnWWQLm7K+cI/mfuBj/w0pCfUz0rA29Co+PDKt7H3KiCf9tmTLxHKrArpcGrKdZbO+CcJPsEjCa4xeUwqHdnvStbv2YuuvkTA3LEvcBrnoanxrzewq9HRZlQBj1bkd+n/v/GbJxbmFa+HsinoM/NXGnJLkF37g/JZ07dghRHxtHvDQvFSXqS9HieW9LxXOv6QBGCyWROKlQUoagrO7iVa/EEL8lkOliFrpViEshSn0Ue+M2b+RkSS0qE9fis23X+1UDvlJpPfMgFd61dA8o2GUHuCwsRoX8Ilnu7YfJyGr/LROW2zAm7Y41INa+VM5CtsFm+adhbnS4T7eMaN76C7qQHOMoJbHM6Ekc5Z5E3ceQGLR94IqW8TqU/Q+xMrbzL0W2SUeEDfYV1FludQxq0x5mh/N9uQPdsMM1mxseLzs/zYwPLZ8RPsvBmYAP8Lu0IAhFIVgiMStvkcZzZi203tGUc9r11IqxduOimTsnwWYGzjKw9TQM5RDHzv1z5rrB5P7KFsjChpave1uRUt8LtddL5QfQbn+j9A8iXHk/gdHJe4v12dYtnFpkiOxaK0IO4J0Lh8ZCYOQlfeMsB1U95Sn/8b3sBUcH1IW0aeAZwyVmzW4HUIAVq0nmPlovvIDSD2y+TC2hFBCiQ8fMU6StBYfMsZYGG5Bxb94FpFBtS1ekRWQOnRQzsQRKdBMaPgcAG+tVRamAS0aTb7YCRoU1gSzzFYBh9uGxKrD0lWPnoiCwl3WuYiMAUYo2ZICKZyyJj9dJwQ7NwYcRkhH/2FFnXrNcj936h1H1opTfYpv+iQSLNVui5jY3cVNvuvY8zy++bN4ZV+21ua9fGBK4ynjwxFad1zpFuDruyo+szZ+ZHuOHKHNMtPsVus+30lV7lobPjDt2DFZfqe1b9FNTG6ITJtxdHlDLWmgGXJgOOUaEkZZIAyKvauQHJk1bH2D/IL/+uyn8EZf+1OCLz7AMqyFnllfx0LyD4WRRt0lrF807yDYrvs6sQw9/6kXZNMvT9JQ+u6lWcDRPezAk9d6cgxQn+x9+VpR3NSOkmZq/lqG2xbE/wBVfqH0fs9NnZVLh/BKumItORmyF5T/vFBdsKgw5IRmo16m5SaNRn4+iBmfk+LfE4ml4Y1k2DV+4j7f7N2F7o5TSUkwCsXR64L7ihegz35ql+J9h47IHZ9QcZePQ3M+GUOOAB0HJzZtvUw1fBDETBczdcZHBD1TmfMpblPywP4XZjwvgQGwVcBMVhVNS3RLuJsdM6583jt61/H+iwo/EZncnaE1Q6zF1/iKx0/ljFx5tfCRS/25scsl8cXg2Zx6N9uCepLeLBnuTYuEEUu8My8S0jtgtESRejKNZn6RyfnlmMgOGgRz5dViBWkP7CHGTsgp1LNCDIWGTp1PyKDSpamZLVL8H5vdL5uXPXTfSWShYqLtB0Vx8vFnbgpFmZKoiiUVB+FcJYlaM8P6hktCtJCu/1qjc7a2c1hRZ2X1cK/9UM6pmLywjfp+ZKnnhqSI023hfYnMhga7q8IJJpaZwrTXXc0e6ZGbN2tM5SA0cKc4AWyuIZ+5+ufQqoUdo6hCa4b1uvSlA2XkrZ2lxS5ckv4bIJ+RYUOiat3jrNdx0hiqLQ/Wzz7N8vK4NP9JUnXBsFiKw7YnFiJCroqNU6dLdBEO6Ns3FW5gxtNgEa4NWqnn9kI/A9qOdLdr661+mOfLk05E3OmesVKYvxkI7N9DbYheg8ZjbKn33xzUzn3WXiF0Rlhzg2hQf9+uc/YpxpbkBnNwatCa4AlMD4wL9XvYblyLvR9C0cErVPNSN0QuXs4Nl7zvFEoMjumEYY0rVkCS8rKHXNZpxUpbUP4nn0P32l7MGAX37ahML8zJv6ycfb11L4fCQ7TuL0g9nA1Xrx7Xnkpfxta4sF8xT2mPX313A7uH9NQjwBBx4qVukS+fnsL3XcT/dhATq/F4znURtj86tmOkC7OCddVgv8R2jew4duw4kcd9gQUWJZ/8lu/tywejc7AI+uxCE7rHrXAAXkDQaoJ/qXnKPAfHoz88BmcovQsJFP7CTXgeUp/1ceHsMzjbc8JmP+PXBq9/CrwWqMBrgenrxxEXFTBSGlANKQVUsdWPA7/yMxUrsezdmVeFgvNbAQYOq9uMwgP19cKhNrZ6QTFk4h/h8PTaD1AzPuGSwOssTf8zGXE59I6wjiFYU18vGK+TCTvh6T9jz9+4EDDoA0x+CHzFmT2X8+rVYSNn9lXuVPrSNlvsuQTN5o6zRwpKK0caDA8YYNUACgwPGxsqbSPpKZXK4ZCghHPxxxys1MMckPjpwneaizPq1ydL/e/cRpQe7IQjwGtwBqremhl2TZSbr+u4bd6MQ5brreXlw4D5AWoetSgA4SXGUq1gKxQrse7dk1f70mfurjptKxytYaevH0c0SuEqVBUWZaG/AuT5H1CdXVSWKu9Cl8jLKGzLXu0vV3R/sxUtVqLfO5pXRZCchSeJv/6A6q/oTIj6/mti9Sr7THrO6y2X92d/eaEm9P69dxLHsnamOpBOGGPPoSUU6o0NrjGuoWqqwfbAEKwaiMKV83UtZRlGXIYIKo8kPQSWTxfgqSl+CnbalQ6EnT4JuzwAUkOXw65ECcDAcx/3EnrAdfTD1wWbv8C8YwkTKtaVuzbzbYUTPEO9NIWgUWPwiWpIkdNpFKkW9eOOjZI/nNJyoogKVWb40TUpOISk49T3Ho/hG/iUui0GvLhDcAYgtSLh6dGHDz+NCzh10iMbgob36WbFOD26hD66xIy+DvBVgbG3frBS8KTI8SiJ0Vs1zagfQM1shp5wsC13C0y8CnDdS3odjIDbwyHgT1n4SH8BX8GHHx/Dh9CEB/Ax8LpLS/f6oRbeWJh5CwG+I7D775pj8zmIXbssiJPzf6ZtGVMwnu+hto/Ox/VMxcd2VAhm5ZeMj0dSxbOFlfkWBeNqvnoIlT9bUgFUs+Z7+ZA27vqTNPURkTPVt+uRSHf9YHlx3X2TSwfVr14CLH6/rriCAMJucfbtZuXf1Ros+BW+FyrAVYqYTclfA8B6LVz5yVFztaSr5uJPBVdmben+kqreSNrGzuWmVUb0cbkRA2lpuXz2NvA6Bn1ZZOUyK0J7udzQXibXyhVdhvgyj7fXb3i8XjZTBLfDFTAPuJG3ZtwfsiB2/sJ/j29wJt0cNiw/qls+sHQmOc6EUQ6ejcnHcfj3YPX8Dj5ruKGetbmDl78GXt7zj3Ld7q6u3m1/iY9d/B3Owv8CwesEVfcG98ZFuzKopcv6wNCSvqSEggxT7Mrra3bIlZ0hrVu9OpE+pGim+FZeRyg0hVfuFSwcb4p/gQ5VZ07UtI5LivJWccVNGnVW+aDioOCAer0r60BLa/OJ+3m12WP00anKmBsQtjWd3mctq2+vt4p19nXyA6L9WesadIda1nY/fFsFeHABeA02qlxsZR1++xJzwhv1VXjDXGLGb1fWudiqJuA1uABBdu0C8+KXv6/++D0U+9Rj+RQcgrPPbIjd7MYGTn75tM54aerLGQiW4QV4PMb88WB00OMWeB++i7D3hgz3fgvB59IxM3cPwTg8gMEhnrkhN3PPwyPwTKzM3dxdjvn6g3Dykwp/m3/E9KGUWxG7QSs8SiofXA9PQT5ZZnAUcuYAvhszHbYnxsP3JfS3BZze8QiegvyLx8FROLz/2Ceb4GV4vXxt3to5OAW7Wi+/exeCGIhHDsZUbZOqNwXEw2rK1duQmldNKtXTAQVwK6BdDWTb41MV6TdEoT0qjSrR4p+VQOXgcRlmWTrHwucIbSIWzyhh09mqclJfsNOW01r1JvMb9cNIBR6K1nC3glXWtbWnuu/zsWffxh6S5fDQBUR8sByDTlSkEpvMobWqgxtzweEA26bgYlpGnkBb3D0rGezPIfoVQK2IyIgR+fJCc779jT+S7i+hCktETJZBwpZWmA8l7S0YIPjr+N0kzqmChk1X6k1XyvVLQ0Ry/bfjMvVcfvvxVfEJiajWJydmem+24GqDozWdpXtIZxKdBOjB0gYlX89NKGM6eBb2omQ774ZQuwmbysuJ3grwVwMbdk5E1wR2wyrgNTgAu7OjV+8cbyi97Kx/1jhS//xK9ZEMK7EBeXZwEDkm1tPTnGbxmf4B8VmnGVACBhaKOp9Or69+8Wv9ZO1RoaVeKMrVsFDSaCKPLLIp2EyzTIQiUFT6FHskXpilTu5cNirMChzF8/RsrqIiTeZAcBNQXZd2gh+kzjeutHHHRFQtqXIm1HLlQLXVO8Yz7CrN4rN9AwKWTKNLhvODI9EDfsCOL/rav2rsyDwz4NpFC6xuLyddaY7pxnVli1h4cRLBErKjweF7BFUsEqQx1ArCUNBUvdu2IuJzy6268VM5pfFXJf2//7La5erDvvAvQ6qaH8AmNCAFrPmwovVZ23jDs6cVazddGu931BM+T/NuCLbLsEQ2O87lN5pl8d+Fyx79w46sjo//2zh/ArzYXJf5Zr5rs6FJwComq6waZpwwAs+mCM1KOpRE+SYySKlaO4mpsecmn2inX4anoO4mJ5yHwNfbdCCsgulj4WdwVNZk24rYiDO4UDYno7yLbeE0hllSUgxp6SxJWRx7Za45aMt5c2G6UFtHGkS4BkaIlvKCbwajLUGZcXzABuH0xvAiEaur0KIcWJN5EiVYIxWsj80SiVwajYJByXURrotNFwk9MDDwzC6oRLIguFGWGdxAZicmUNj4UmTK/BqJgg2AIGMxmQo6DqOhk1FUnUaMyolVGALU0wFBOksBxLCySThVklTNAPi7EL3V/lI4YAN0ZGh9i7YlWGWJUusj1/LnXaMPKLassjqcjXJcv94wACHwky1Cq1UotlqEYotFLLRYOcA5AJmwX9IPIWJ67Mrnlued3ZfhVcoRm418tCgex8Uzs/TiZDF8FIei842V5Ayh2Bg64n4uT3QMzhy1pp9wrd6memdkWmS1ihRZGvJXhvUk2QAPjwGvwar2LPCaqYC5sKryu4/GOafGOfK7DwpKIIjq/ZGdPAozD/omhfCPx5x26A6rJANwS2dIqB2+hDaudmkRPo4gE1Hqw9YJnKKwfaKxbkuhrVKO66cHGwYggpFcrW9RfjxRIiLVh6wTdIpC9vHGuiwOa7Wc0E94gAN6q9vdIEcFR/lgvYhRl3LLamtJdYMc2w9oAWMfdNe+X9KlYMmx0fcVoPIIykLMT2z035Zt9J+aAA6VpsenjNk1gVxQ86t5bwvUjTPx1j2G+/kugdMDVxYWUTr3vFBv+2FK1BxjJg6OqQPeXWthb3YJCGoEFPVA1sAEpQpVoV2rV751YbPLoUHdsBKlr1NDdFmp+/T+gtgzovXVGpXAzMDlkgTGAonYZMzQDypHhBejE7gomJQoUWIp6QUiYRc8bf1u/wS0ScreNagC0tCRGmtzN0eVmhtlSiarmB1Jh/BFYlV9nlLSsUpq5lUmTReo44LR63SlzWxtsiR8Js5Yw+jB1BNKxRpXjqNw1Q5ujrSDYFdsBo+fri6829/zEaul8p7ZRL6xU1HRtc1Hd1c+syQtzYwow1MRdbSivAxxfotaMBQ2UXr9LayH9oBtMycn5BarkG3S8zFYgRiVFCuOY3qhwkTtFRmpDCEVqV9agBcG7uQM9Zqqgmf+Em3p4B+wGiT97aZJHIz4WgpZyAphPW8qwvuJZ3JiskH8LoE0bKmIsrXDJgieSDubFdh+vX4Adhdq/Yq2JVhniVLqI9byr7lGHpBvWW39QNrZBduc/RAEmjFYGzTZW4WI6+2EznDoi073zlMQCqPPX5f/o97KX8fkxqpX/NxbBB3hzhMVK/bvut5+3ekaEwhgYwxX0gW3wNaYJ5IKqIOrsAGSTTAMTtg/kwsQIjychLztGaoe29thPzRGwXXxZW+jOQa9ACWOwXNImEShGJ2M4iITOUnxvA/GIEAYs0my2tzMFfT72aEhHMaclJzRN8WoJNi2JSZYBTSfru9qEjELcSqzgU23SZTYJC4HFUMQbOJkUdgisxl7on17MDNY8gPTfw4gToKDuKKZ/+nes+UMcbRFKUfVk5jM5UOWuqngX3usLhSfWWqmpM/0VbHKNW1v3vYAYz5w6o8B6MCDMQceQOd2AAuPgfFi0amevuMyR/Fwhl8xg+ZPQ2hT0tHCxFeRKKpI24SXSsuyGMcGnpr/Hyp9/WNRb/k2dlYh9cB3K80iZKFwGs0geYexzsw40U4HSQNVN7ZcvXVVTmeGs+3wm+HlKDhDyGZpIZMnt5lu3i1nwQrWyr41bW9e9Gwo3sRTFH/7qAX5yvwYnnO4nCJQVZhSjndcWQle2xC+wOt70O1t6J9lw+J4LNaEpfBVK89YdSqRKDtsxO1o8R9M8V/teW94CL7+f13Bm/WS02UbBKIfoQiN/l2CZemaqM+pltyU47h58MFmrXJmpOM2pzpnksGxpw/t44DDCoRIZJpFxkKRszVrcF7G5mzWiR76ZTgEe5zLIHOs78c0lPv6145BYwubPW5V8MzMUrJQYDbjJ+iJ+1UB/b6qccI56BO3H3idQviCRZ6A+PmsjReR7pcsrnDH0xWBgygV1CSKuR/qXUDplkEsj1YcSjWVE/GGlOiAvxHifWdeubNRtQqTkqdam9M+GBiDLW6JTFoaz2CpdMsdJS0gbtNpY7dC0KVQsKQxp0uhruygZIIooEFIZj2Fk5OItkjoAXWBTQHFz2rG5jWIXbsMiMn5xzVNzQzgeq4/E7Fl/mlNZ7yvsQIz60sdH19Oxc1kV0oF5BJm/QH1v2yTZ0wVoGgJEDjwEQwGXvMpS6AsBKo7F7JarZ3/7koVHm23Z+VO6c17POvikXSuPgGPUSWR5EQaQa3FEIlaIsm0zLOjbvadc2Lr+wU1Bx26lF5zqTN74EVb5Ai8Dv73rQ/shVsz1dZ8ITtHL07G8MXopAQx8jskSp7XO60uLGy1MA47GWHdIlefqCxk5l/OZI1oWGMxjo+X3bT2/TglpMDJoRT71ZGZiBKcRoajEqti7dyMnFRUIpEljUMmiZEYAY5CEEriUInSBJycyhSXNamHMV7a3YlVmsxWjZTRv7r4SzsQDi//Ff8tzwL3Y3nsz8BrZgTC0YC0c/Lyfq0u3yrjOQwaIl6mTMREvgbPZVF0mjmPV49i6SpkzNbgYXED62SdXc2zJn7zN+O73jjJaRx6Xdr2sNGStX+ibd7l7Ev/gHK4JeAjaA3Y8eNQRfjD0328X/+SDt6K73veNfxKGbQJrHcF3SRsVKnSGCIRqtv3cOE45qIhk8U1yJK2tUd14K60Oeq0u2hVrswzHSNtX630gc+l1RXmUgalK2tt8SiRnSBdo5vCBj9qhHeeAkpB9t7S28k3DRV4DdUayEbiMOwLyR40ubUM6AO8wW/D0/Pvvud/0X/q9ObK8lPPSicmnpeWnarcjPov+D/zn393+tR/H/owPPS5yJ3FxcjderNEwink7uJiANflOe2T5iSIGCpXLO+OC7tpkPw03nL9ZRTlkUN8AXgsjex71jX88gbdIyNN5elbtrcd1+qo1+wOq8+2Dy737Rgb/EtdoCMg737apnklYtcuLWJ0/m5Nba26I/NaD7W9cT6upzlenFWRMLuUOj7utyR5Rlsp4LCLnV3BwHbiDH+nAtms7a8LkPHpguexIcRzhC93Y4P7AylDPmorMnfJaXlkus1dEBQroiRDDh1LZDGwyVyuj4drx+Z1q7f2mEkxqm1cCjr009dGhJ+oZkvhAMKhFWhO2OJFqrhyegSR+m+Y1/bg2xcHzPKmfvbHHds2N/8cdJiaGMxcAv58ItOeDHdDzWsxCGyK0kJgmlQdhbioEr0ka9mGI3xFFVdhrhpO07T1yS+WoKDOTyXg+ucl4oPV7OQIXuBZfSwC9b8640SS0Q+xzFk8Uap04ZncTkyggZvGLphMh9CA0UG8Lt0ixHMEWHJy8w1H9LnSVAzn/jxdOw/kUYL3DBR+7tvdzEjLJeAPJA2/Wet4K11pvZc56lVavh/skeqkSO69+31cJY8AExUeryYQ8JmWRSRk4nGZxcap8bkFUhJaNUALc2A3Lsnx9cA7q7GELHOJEE9W63EUag6DUqkozz9x3AHsHuaEkymjhOveSe+sENLqXCazprSLAdVDDRHE22RegTjDUOuHu/VteEUjMYo+kbrYLa11ef1yvFMlZLYQ1FJ9EjAbfL5+IkwRzlrytlzhslacNZemFLSSLQZ6VRoqEcuRINFJYhRWNBsh6YfEsplU6elt9SW7OUVbX9kaTjbU9M/8Urnd5/nif07YSsSrIYMcilMTCWApoHrd0oQb9x+Y+bkD7etAwbI23NZAq4HhiJGJCVKIFW6uXxaHZFtz1Mz09rqSPRxP7Xi4LWqiQQ6Zwg+IK56jMYgXAyEXUpkoi7W4C05z5BgZXrSt7nPeJ+nhwT6xvI95nx/zyFpktAf8v77qb8zy9tj0ec0n6i6f4PSwj2u+yBjCu2JkHMWMuyDWkihDKlxLgJBEo+dwNXrJ4hWKdpSCdCYPwQxXkSwjCIfqvohgxfXl+vjE8H6J+P0VeZ/L/4f/V4dm6xcd+rv9Z/oN+9SGs+Ltn2dsI7gly7jy0x4fZkUp7SErFos1BnD5naW9P1g0b/8ntBhN3vH9xlFw/Tb94ZNAmbSsmQdSjiebneFj6Bqg3h/1BgXqUkhybk00QIEl6QzX+3o9oJE8f2nCXU8/+uVYo+fSnfx3xPiSy/y/CZWhoWgdZ5fcTX0AozEoPMR7LffccUsbSfOXnd4noHU7JCFdw0gozODEVMd0GZU8++a07MDGgM2Mq600VsDvMycjoUjDTIeXX3ANPba8+AFsdLwBly5NfwQfSdlM3I2NLXix82x3fugXHJBY2RvQk+ZZoDnuHq48f+tMacajyJ9ntLdq0hIKfMY10sIeoOdWeCRlpZONfc4GZUnAm49pq8EIGPMiPCEiASTViAewI9ACxCPCdQcZU+8gI4O6Iirvo/347iGHM1XkHz/haGrC/CrwBpNDhCepDPgEajaDdkgDdi7xi0G8R4elitHXHe+ixhCyzNM4skqPp1CNaexCx5dNAEJp+Li6gnstnHdGDSF2fg49PxdbOcd97Oj/boHzLMTuue7H4HiMSddc12Pi1wqqFfOxFXPJj9XnaDrAx8QiTJeLN85lh3i+1rKAGk1cGVGTlFl/r8G5IZNZX+3lEzTxZRpAthxa5ZE9N93E//pSieE63ecFs+7Y5aDqmY8N/qta+N/UXp5zrjE6yATtItvh9aXJG2r4s7Hr/4kN2Gx27uG8n9OT6XnghU/xmX341P/uXQiOlp3+uJp68+Kvmq7t/zLvtunyx1o3Fo/FWOpXiZSDxU7J09KD++15PD2DWBDYkF5Hf9cxsd4Yb4OZfF5z4rQ5epEhUH+XgVYpuP0JZ3K5K0u/B3qC7WkseRV5Z133E8G6nhuMknKpgF1SkznM1Uaarm/jJHc5aUF5F+gWHGKEEpOmPpyxD/XzYQSdrtKmPsir2ltulg3VOTpEZZhx36+44viKTHniVm1Hizyz4EL29Lb2pwF/iHRDsR7D4s3fvnvOpySsphe+huAMZ7db4cb7W8Y2PnCL2e0DY6t9NZWQCduAtw9UXI/h33Ag5RVqq1X3sofTy2XaEjk3LSefY/754e+6dlpZH70ppUKhq8spdgztkZg4neEJrIximUhnYqWoBOw0g5QW8r7zu53S9hg+04yjKGO/YWRL19I6aHUyQ72puGDrBW07Z3U4jyUqVYl1xowUlZDNyJYxqvbVXHfk5SY4VpC0ZRSKFpeaJVud0kqr5uvtUnFGhVG5KvZOQAegzacry9jCykBe8OKVoRm2Isjqu1ZfNFfeV/SuvQ99tH3xnHxG4OJgWYm8vIjJ4mYLyc2ILZmZAECp6H7zxPagjCeP6oO2bycgILFdx3WhuhmXeL0c9XHema3yGR2tWnxnFtYomDPQYPpEgN0Ban7gEUHbT7g+21Du9d0T9hex/QtrfYuYbIlmXwPiICIrK//g7ho5X1ZbvLagfbHF3c6CVo8ykC9DBnx+s/aF97L7rzRZ+vzSUn1elgZQuXev+v61VLTBl4RoYkfXd/d2H/YjIqLoh77W2JmV1xaJqtySrWlGb96yIy+O+HnzaMbUJDelL6B55nPKWKwyDodVVsbicMpZGeUctromWyo0mYQCU65WN+cKhGYT+OAbWF+0/lsD7n/bjma596I+oj/7V/ZMJ4f/h5uQ63thYrKm7cIFxCcnHmxL9kwxwyyIN0yMR+pEda1zzs7x8QfjE8NT6ZuKfaluHaerLZcqKy0XLauj/Wy19WKxrZfwfQT04Sd+KmmakKpzquRQjCQIyTiMSIJOQMsiE9CNLOfAh7k7xsbXt2l1VWuV+/h7lWuduv0tZuXI6pJDKbvr3vXvGMwW6xwKpCSeICDwDHoWWhHLgCiVq/WCsDS/kZpq48l0xWtkY7Nr1tZo9zUPdT7+1BncBbzDtVVmie8LoMwFdn1RfvJBYeihKcvKmaduWdtN28nZ2bwyOp2gkMBEtBjixURMslCckIyUJpO4cShymrlY0p3kUra+TftUA3RvjEGKWyVVFuOwrmwoODQxJK/14NWSVJsvKgVFc8NIPWAIUjPjVnNcAgtBh8rCr84oovc5a+3acyD3SNNZVqsjozWdSlCrsfgkRQJRRsFh5Yrk5ftanUQQJcanplZWGLdQ98qLyUxDaBldElOTZI2x0o3C7sriZoujLG2VT+57tMKp+AJcUTwuQRF8aCpIjMVrtRW0MIRSW4AiVB2QgrMvzUJRJEx4Wv9eZx7zBgvdiwbbnHLN0uLuk7XH5ze+/W0FnoRmb9moT1DpbAzdGpJvEsJL0A5OQfg3lgRJh/pRpihQ/x3jDAquPeRwLnC43JDzXO5BEBdwlWk0MNONemaGTp/O1BnemUONoW79YpgGvLv7RiTl3bMxcau9lWrpNp5kNr8G1P+mt+Hba/JVP2PzwUKXxPk+f3wAcX4kZwYudAHqR0MyC5JH+12NzCBrowi8FFgj2dmry+YYA5tNW45npJuiiLeKxTv7dMD3F2FHIDpD5Ozch8AljTn7YXecpEwy2GksKq9SBbGdglSrNWVsKNoDMg3ZbLY+m8+35lkVazJCmo22fwLWO9YF4e324QUMq3dhWaFukp5XKZouLVUwKG6QbsJj4UyZ0z2VY3RnFNI9InLpsI3NzZx2R2r5RyTbbquAhvzZP030itxDQa1mwU6V1Ez3ghKJI+fQXBok/jZs5MjF4SXHl/AevAOgAY9wWwRRvAcjPtYgsW7Nspy/LewXqZRhshBN0OtD34HAoDWSw9+9zgySh4QpvVUU9t9AqONxn31Pv9RlajwMogRDOocCP5gfiT2bF0ylUuosVjXfx0oU11/TVFokk5cWmkxky2WlQg4MW+6LMfBbrmTov0/sv8shoa+FmYOVpSuxRMK3NLQO15MjZWVk4wRMAQ5DuUxjmiO6lVywXLDrx1/fzx+FD2/Q4QI0YP5N5F/gjqx0MpGrW36LMzm3TExrMVXlBjudrEzcQs6RAdsUAqZW0kxL12KXrmbL7EVzuuzlvr8v/RRbhDd/SWj/O4v7KkS7Il01uHLRwOWJ5WMr5BatrJJYfblafKnFpuqBqG7uif/rktExzxr+Z6bIdDUy6WJoK5eNNgiQNmOazBg7M8628ECcsrUL9dN2YqP2/0vpKod00fZ0ub9Lf2efP6HkHBH/svciu1Nz2NyxMHfMzJ1n+A+v9HGZrvY96WLftXOp7wYnl5f/cSHvSgCMvJch5ZnDim7j4GQcHI2TP8gWQeEwYrN7nIYyl45B4xJiXIKNy18504U/c6Ys2uv2lDKlwET5dhUrdmPlX6x6i9VrseZctfZYt/PkAWAzPaB+RKaWVmBFVb1xNCXE+qAAaIo++m7JzVci6x1Mq0PDq21LZzOuWWCARZZZYZXf+cTn4ssv2/Nj/ctqLzvmWzs1oVzrHyJ1aHfCNwB7gT1/wQBM5tMFaXM2OVeezf6cfMu+2S1gP67H4YNrKCiTZXmm3rY9KJNleeAOb4+Yt1ob1yk18AusgzIZlAfQcpzu6t3YpAtlMpon0mpgfB1n9VmtDbljs1IYZAXK8DUr+M4SabqdAcBub44MoRRGrUTaFtTVwML8ET6ODupGIjKnjp8wBRBizWtfjwtgD29+b+KqDmqGUAqDrEwUc5pJXTuLxfnQpVIYtYLLscUfmADA7IugLcYFaWC4a1yX35K/f/yEDobPwI/6dPLEXQn4iSN8hhcCp/FSxsn8KM7Nnll7MFHArpLxwZrP3JEF0yhvnE0QdpwkLkkofKjd5nUUfx421F70Wic4RPaatpti9ulJQ9OY5kVnUluXpgvRB/olz4VxvFlPJz0/HH3O/9Q88hp7eis4uafeT25HeymMTSJDQMXt3a1Vb/MCdn9QSIL3AV98LHEQgO8eXVuwKb+Yrt41/RNCXtNewspE5gcH6v/9pOdt3ti/Df2eTOwZtDUXtlSqjkGdtq89fOBgcC+K0plPY44dI8+19D0iJx2oDTmLfAZ10rr9UHmwRGFf1vQYu/bw4WVLuUotMkg+TmXUW5ylK25kONBZXEUfbGr1vH0S5Tv0rOJTZZzgm/9ipZoRwP8+sZPsUpfve9EtaRfADrmIFQfYRn2LhSVdDTOjs8vDqUZxYMW82hPU8ReMGPBgJfPtHo+5JH7Q4zFDf4nVq/gNAVCJt/TIcwXrWB7hScbFhqPUchBWpd3BrEv0Jp6iL2q+aC5RxPs4xCxGJoc2MrH7C5F5ATvTmeQm7JsGZHKyRpbERGIxVADHM/4FX4ZvwBvgB/Ct8hlR7cJkYVcm/dqCd2SEdmpEgHTamV6ipn0H7R7aryCHA/TrqCmwQ4dXCHRhnyFX7YeZ2jA7HJFF1j6z3Q6hSq6wz3/ZJVEIhs8d1Wstc9Bl5r7+o9aUxDqVaJLEQJ0xZXjquXp5pYK4XWhVqFNMakhyz4aGU4f3qyJD8B2a3kkafD4lq6CPsxu3RbY3WJJ8owC7Lfgtox7kS0Uel+xlVZUsyguVnMtnYaeGrN7Hp51UkPtENmURM7ptFsdnB3siKaw6/cEF+AjkEOAt+NaMX5CDCj2m2+Kbt6U2aNCEX1CzGVD9iiDgX2UERcEnvWh6YnXTl08zCAF4tzmpkxCiaZ6EoUT5JBIbb0/C6Ro/SYCizpPIGLJOEmPBoVSCro0kQkkRFnASDvJUSyn2k0SAQpZLtyrUTwwNFTgGV5IwydzxhEkUJ4IxYyl4fPekR40uIa2kc0QJ0TPGiRGLB3LaFGlsGIFlIqSKc4IiDPE8kT8YrlQxjPhy4cUBVySuZHG8RTTMozCw8MSUCRYlVRDUD0swYYiFxdw1StRRom4iCvBvDrbi8Oiy9cxkUX64I8AGsqXGg7IUrNYlBFYoatkIXLZU5vHHIoJ36rOXHlHBDRp8sHZ0+2LEWd104W8iInmukbiUjhQlLcapIiJpPFygxgZuthQqN+IwqANb83utJpovxb/Axm4Ggxnhzolw3mFaGCIxLdMWZdYtt+nQpUffnad30Nd8cxqpfvejmbjvgRiPHHFBP1O/M2O+Hlz1x56I9ZQ1G7birtryLuIkj083nKSbMxdcrla4SYlLcj/31dau7xmeDJkNh3TeTWAVOaeR609fFn/ZcuXJcVy+AQE+CRQkWLUQoQoUKVb41BXv/W5r+PY0QURBQogKv7imQyfple30deH27pQoN2EkgkSRGBJHEpGMVKRDc8l3P2xEJrKRQ4p8FKIYpSiTJE6FqjNwP1P3k0mVRJFJ2UbCoCEOhInYi2Or7W6YMmzEqDGnnHbFVQKoNAipUqFWjTql9llS5jLBqCjX2FSJ+WzdOAKdmmN6hLFvaighQo96NKIZrTDCjHZ0ousgRwfMS+QlvA8fwCuyvbW6oK7AU2avdC12YMsqbWXaTKl3bYUDTyTRPMv20h6FeYVe6uQ5arXMJ1aCXUnU8n7t6yNchYsqKwq+xFz1mvB5PemQLO+nmaKd46iz7V/jaKBPp0W+0OfGIl+cCsfR1GMSz0npFGIjqYWNJ0+xto+SMsxx52Z6vjoiqieJBIqLLg4i4emr0xa/FdjygvelmllssdW6asMsiUKhvgz2YpejzG7NkJfaK11Pd1VwzVgi7azb/739nusA)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Caveat";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Caveat";
+ font-style: normal;
+ font-weight: 700;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Chakra Petch";
+ font-style: normal;
+ font-weight: 500;
+ font-display: block;
+ src: 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mun3yzW74I1VlprBxYGEhsThYPPjYgrMV/eRvAh5C9YoCChFO4LEUMrSjSDCI2SJUqSyihFmgw5Y+0f9FijjDaGSblqFSrVqvJADbtJWrTqNEGXMDZf+dLXfnbWOac4nXEagvK/R4C/gPgJ+A9avgbaHgDKQUA6BSABkDKegnAIgsEgh8zE1nSyFxZ9qLJbaDjTYelOKOzqmI4tjemVVycbR801sxjEEEfL4BuYGrNbf/KVcjQUy7YrhW5AJIREsEIknK6Js2wY29KMvM/C4O4LqpGRBbEHK5axtAMIRybS3O/w6auadgZL4kZ6CA0pKjk3Ry80bjV/HXeJSqd5452angs3LAiwmNAX/iLQycuMQaUuhxdfFDqrqij49sdqzUNTqXVRVQxCASdn5MKDxbmXRy0AzJqmgZumcbaVZeAh8kwDLHkEWnMUfspB66runOKkXYLneNpTvhRooCIQZ0b1irwSfyfYPxjU0EXfMkfjeGT/N1pE8PchNF4e465iP7QJiwSL41pWEfed7CO88jaBsuc27LQThcXL8bH5ke6wpehcZhRnrswHiQgWb7tqH+u/R1F95FVuruaBgmi7ATV50nC9gYh6KXpu9KChrbRmVRWDFV0UlVqjtTHMo0X7A49cZ1oc7ThoybHPybzTZ5nfs+7c/iq8Zv5eLmqzr+izXd/0Wz2Ps3CX67updszJbiM9A3bS4iqT5DiTTPECD5nw+1wFGwWsR61d/7jNbsTh5k1VfwblXF9gs8vetBugILtUvzMLxTNWXGAJdfpAeQxCpzRaU6nF9Ful94bADtMnSqUc9UC97BfAiahAv0iUFmfEsou3HVcprgn9xOguiOQtdug/kbsxVdK7ru3DjcalHavqjYYS8C3j62vNsPRqTUhmMJYaY81HhabYZEqlNQlOXjsXmE7+tjrJ9o1/Qnmc6l/3mYyISfHiRgSiPCy3wNRfwcDfa/J7FVOHa3hMczPZiSHD6nJAgYOsdYkFTQOLxvmbO44naYCMq6NdrSMT1sE74Zqg0DdmsTQSSlmkLZxxeOmv9JX2ctG7wsV1r+uf52p/QH5n0P6qnoU21MnGPNDKNKTfCEt33prMVWoevRmuJEihg0znQRpXSPQZXr67mSt5e4EAsgIMlspcc19gLdRgAz3nlpGGSxqmj2S/Nhs9M2l7lsYeIW09H4dm7K72mBUDWU/yNpONQFnWom2RTmXGyfDVtlpXmmBaEtZd+L8XxBnnbenODPaR10GNw9q6EpQNLJHypgWPtt3B4m2UUYOCoH+tHpIqqu8kJNQ2U7hA/EwqbLUzdSvp9vBUGQvqAOgClQ7JzRXPhflegV87vQUYFHpyp4qEb1qQnkz1fCZK2VtoqFhpQXDIkciAnknWq1ZrL5Z8UwnM+vvMy1od8srV2XyoklI90Mucj/ERD6XtB1H0NJnrFBOF11PNZJ4OoJTisueWElbDHVcVPRhcCbJihqhLpzme6WBfeP4yZTX/3NJnOfF3UzDg8zDRw9TeS5CmFz2z0XdMjSu4rXcKJtGu2VM01ZaqLF6dBgVDCssyvt6WJFer8mBIsGD/B/e9fPF+YcZ7pUV8djzGI3RayAVkI/Mb0tw5B4YEcHmXLAkWmreiQX/mQTFjr1UUmvBz2uYJZ7b3mcxzl+Y69Z1NkRk7dae/18ZxBcBuhWM0D6UZd64Db/13/byCT5vxWtQIcxy0M3/GI/EYaW/XnmoYG03igbidWYOeeZsDWIFbDzqmbba95y75bgQJK6kU6gXl8cBu5UauceVyiytcY0Qnzh3XqfuilgZkrMyLHgwONQI9o55nexQv794weMUSTjaItVRp8LJ7q3xz61I0aCdZbjpbOG+BffldT/BO1/WV6SQ6ETRF71riRhYIve/xf247bpfadNssXUNzPNzW7G/kgbzK0ULK4j75YdLAzJvrhD2noy4x+RhlRtBfyytikHCwQycmdeXSEIcVRn160Bmeuhv/6wdGIBoGrDpJpXIw4eRpagXzQzKJdDKo8mSIrPzx9bUotjy1iCeXV3yxz8PQVqWJgKd2UENXyxlQYp4zKFcYimsbvkWOH/0Vx1UHEhqDjUAx6COT9LVz8NfOpBqeLYqXFQWuqW/lhPzHVO1lV6f6VIqQCdNe0RvCtunBxFRS1PkbylgmOdmZUcGtYr0/BgilfbKJf0BS9vPs7LCMiSo009HurnS3O2ainOW+YfA7bF9EGT/cV62pDi8C2islYLikMbuRH0zMTpvtade7swD3Th8yCGYrYnVCS6FFsNNnUxb8YRex66ch7kNRD4nCH/S4/udC4qHMzxGZf0YQhhmIgIRI/9X/M7exmvjQIxcRRx4BCYko5EQCQoMghxlHgW9OAxn3X92mnJ+e/ro4cuPR0PnXTY+ozLaQjR7NVEy34OftmdBPu7BnXdZWUxev7Yis9Qivy1QYbDCM5vmbnAeC2lNkv52RFAgPS5CxwDfRj7uh19i6/DqHS/9OaDgClWr6gHlOwfMxYEJqu4pQ/ZipPSnq4reNCPTMO6llJTLpHy3/Qz5sMDG1CP1J0xG+aJKFPcL69YJ15w/aEmFHrcj+NW8JN7D3QA4mhzfmF47L/oqKXD44Y/Pn5gHLs+fooibx/9HIWYvQ09hYdZgfu5P1gzhkMc888FvrRld/RLchxEflcRSfecYsY/ojxFkss+Ab2z28J34vHYHJpkTT3E/d05DZZgsFVybpYgzvYkzSW8YCMoZO5Xer5eOr+bxkPj2foav43er5NAyPv+OZzl5HemX+nvAiKdM11DU0E/4f96vDyoh5jNg6RI5HEKbt9OPZsOc6/SRKsd8hmugmiJ6Ea2fjRDIelXcgtClBo8Va9saS+tBn4+VS+PEZcjW4AshEc/lL5Xs9d4nqz+CFLtVDo5aEmA8Y08CY7s11t+3tEInSyaDEMU2UOaR7Jb2eqt2d7tzMzBY3xFFaqvSj2RxNTuX2cG/YM5Ucudz3I1QqtstLHMBdRVSjtwfizGpz2Xm5aDh5U6/Tal2NakTX62JXuzvd8DRBVFWC0IhOe8vv1f9KdDMix4TMwFVJA/IT08QFQTMWjDaoKlmGu8xBHKUxl/Uwm49bEXPMNd6UQJb26h2A3XKyGLTUG9SGDKOxVlWQitWoaxpIIDoWmM1dGmweJbtxiD2Ax540m0PMZWcwNdb9gMmw0t3pXm42Qdo1cjZVWkvTG8l8js7N5ZOQhEImCCdwnoGKkpck5HRsacbj7b+UzsWTmWbzFphbkc4G0MVnUZex5lLanv+PeqVtfzL/KQmma+R1EtI69EaDoUShkCt2IrSJzOdSRCJkKGBiU1PDiioWmq5BHTcjr2TfXgj2bVez79gWluD9UUGinyMnMS5JUPjs7Ei/bat7pJP1JttHNbFAPEOuxl4fgMo/hKYSlD5ud6ngA0ItlAPjYUyjPQCO04KxTGjw0/Af9pxSPIRMCODecMtoS7UB+zAxl0wBqpz01oS3bIIb2ROhFDI9IL2xmTtWA3ivLUGr+xazpabNJSFMl0AG+Bz1kYge4XiuVvdKl7hSg883fg+02ny/F2yj0fSxu7INS/P/otDp9msHvm4S05RxBmmBLH44GrPKC/cXSkhooaQGtanB2FCNVQewWVgliMybyQKWzMubSf6sT7JYaqBPB1q1rrt9HTrZkQy+HWblom4LFiUmt5+LZpF5SQeVtrybbbkZepc3r2hOP/GpqTN98eFFh9Odb45/gA8dDcj8DsPmkfLne9g2M1XTR4+AcvNngEwVrMHGxi1R317/tLh10I+qd9eT9QbMkG801KkKCvXhQFOd14vMVVhVpq/YaMQgrH0bupqCUptkQ4lgeeZhucIvVps3eZFUPGq1YPJ4CNtzIzr6TAf7x94hX7Vtlc2xzQEi699W6xTrLPARlzXKbvOTgjMJVarEvUa8FYFqTQaFMSeZcFSEkDdCa9MN47IKbkMYGofCmOvMmsarxNXGCuYiE5aBTH1i5ysdlxAaC3WrdYv4zRVuLaFdg7yelfXoTBoD0agIhTNXGZdLkXAVn390CG19g5A/JKEPfrN9T3VoNnuVfSCPeYaQB6GAtzh7lK01GpexYFeOSi28WjAwqgbi0A2PrO1SaJN5rqEW+nktWxZNPv07c9j13HNuPQtpSIME7Hn2ulj8C0IvGy1A+1AdcdWIYZ/+RDi2mYWuA6ZAbWNEzBYDmN1np/pZZNP16TKZUypDNw/1uqsIhyB1gsHfL1M2z6c0o9Q3YrxVFqBPkKaelMkWeDzZUlkr/GW6k3gaMvsL4jTKop5bj/JKd/eFqTbqJ4/LkBLSOz/Min0T/V2krEImc8E/J3rdi5+F71IjCMPqK8anpEjbUEjxK6pvg9eq3o3Xj8/kRXL2jhfJin0gZjYytASgI8RF6IteKB/QPoNZvoR2SRQoi9QQ5RUMUWOF0YGFo0oO6Aj+UcjXVTK8CMEjZAvLUbl3uWTo+sCukCwVKzu6gvTc6yUseNHwJPbYIdnzbZWBlCUr64/c3EUtR3JNfVfXzmXf8VfYuU4QIjvom6k3+TbC0tFi7TvVWJX0rVjQB5f2xSWCt+pxavqdJLQvLgXe0ZH1y9Xrx542NXLLvseqLtz6lqjXjnEZRW5dFDLU97fmta2wopWWFw1Oy0aGBlP/B2lpJZp4YgcRrykBt/zALFitHxwDe8epQrVdL4QKNXFsjwxF759aTzZOU3jM2sR7xnqYVdlrofWOAuJY0I9YWbcy7McjhbwV3VYMI3dD8OQ5Gt3b8NEIH3Vh/kJgu9QuKIzw8RJADFuHRpcvGeAr8OmLMZltwPcPxU8nratze3ZbWb1OhgWI3L7moq1xfspY+5e0CKnfvM49hXB5C8odsFJkAWeo0xLTcKs3HU9OTFZbvgjGWYXSLlc4fq2yCymVzK+MMq2IXZ/lkMfaFc8t0a913L5xrWP3gZDPWSwZWdqsQjTxyMf9mb8R+Vs3ZerxiiIeLzj/WMEsY75a4pL+KW2FiRC+3+2mf1H+EkOunx5h/0yUk5kRltW0MEGZEANeBh62eftUkIlpepUptQSpJrnc3EcpyTHUtK6V/x1+oX6RLCfGgyO6QlEnq5ML25CtUlEpm7LcnTcNeUx46bSUtdLwU7tzL7XXqTk/AgQHndWchfBedrujwt4k7FpFJDyaGegV4hUI6svCemDXt4E+IZCZx/VyYeDDQ6Rp+bmey0+RH/+mPr6EaS9j+m9yyXvutCHhp3KNs4FqcMpz3kPt8Raexc7CPfeRWjVpNiOijB7q4PsvC5aE0Pltr0wgYOgfzqNDdM9GGkHkpl8jI797wqJ9W7ZlGWOZu8XV6FI1vteKjcvOFUZn1MPuO3mkcUOJf8eNQ12nDiITivMo450XYSq8PfDb5hHipCKDodlorHDPUEjmaA9s2/aq0vHH9h3b4s9cuDD90qXI/uP7OzV1cahnwOjCMntUF4SjC7LI4usIfaQoGRlQdbBxPfdSbBKLNeJbCAn64q1HvNmVLPw/t+bNm6P/TIW+D15haOrhHba6sUine46HE1NTfNb4xLhyOL66yF66cd376lofuejaM7Bkg0+Cy1HWQWSLuqXFejya3YWskji73VuOnvvDDl3MyGBA23+jURD9RVuKl6RM1xiXda0QbL+Sn88qLKtHwlQ51ZDb5h9nv37rHHOf/yScPaVEI4nOafaM/C9iDqzMSVVMUNQMTPjMRJgveFkv4CR+hWfeMFWxkHcFh8jRlhTZfMC8HCvigg5DoYihhDexY+HUTWqWDATiWDw1gprP20Q1UJcpmF+lrEQrRm3QBHlC24PaQw/5/xGeRRBiMXVXaGa9eWya4nstSFvdVB/cRuRtNoiIntdRBqhHeg5x8nlFzV013c63T18FU61i8I2Kqop8NXjYf160IxKWl8+IDQOFLjtqVHtIl/8CbbG9WBItHotDc3ed8v3/rb9pstU0jjD4qjU1sBdDQKFReQQezR3y9zpBQo4Ud7uCMAKu3fEU0AsIGGooFAc3WSt7xMbEiY9248I3NCA2poSYxev+BQOIjdEInf9eApA08jyE0IDhGMTGxNFuNAzD0YiNKSHWJi5GlCRYgTO8AFRsTImhAmsed9NozHxDP8TGaCjcIEH125VdGcmRxfWdBnb4T8oowkQArBRDKcXGxNGW5hJDCWJjSrgcTUfMkIbQr+ECiMOmtz76ypfGw4r5EFYvHrS9BGEr5CErBB2bm1K7JV3Uy5IHmMYVj/DV3lmfOj/bg1b6OmHpPTWfIC8XLQrHyuhzgnFDa1SOzZddlS9PNlv+PM6TEXbEN9Ig0LtvXwCEwTi9VvawPh4yURS+I4PSckjzYOoOoHTIlXDFFqnZ9u1+A/512/sXg/n+AOrPR+a0PzreAY5vQETUHQCnHgHagbSvK6Cz1lbv0gvBgZmeNXSW1q+4glwQLcY3znerrXArEN2vcT+BmzFTbTBnvq0OjByuSWetrd5Vp9SdupOds4Bta3THMSDee1vPrm0T9I/ibgwgRQ09e9QmTEqZb5ZJCfNdayvcEkS3wv0ArmHOj3qT9CZzaaWVVnOuwz25EcSv2ujZwSa6YIP5ByWuL4knT+pEjnHKUdBAOJPwImepGhTjdLJe1zZ6RBfpbb3K+qIKpE207fK2nZGg3HTQJgQjy7WgkzE7LzbkSpLWvPt67t/LU6PfIwQEmO/PS39s+Mdi4l8CPPudeoKP/j+K+u93jbJ/zwE1DCDAk8Dmb1Uy/x8E5Fr8m7IoAv7v8yGCdAzBCxbbYacFmNuPcbbBOd1C3Gy7U0Jly+qjXecGYAXGwx/50P+lWiS1w6QYhWbHZYvuXNUejPC3Nl6IbdqGeQJbav0GDNXhhbWb1Rt1IT5VyFuPIJXCng+tJMKrJCY7A7trJumVYMBM7p7ozskAXr5+Mun+Y8QmueNcUT7XR7jDPtTwS73rF/7CnDnY0ckivUmrMmJA1BnO2tSejpSKIbPtv2RBeLsxZwFeTcSI18g3sNNNJPkNQTLmM+jlI/Lm+ecnYoVsITw7j21PiUaLmM0srpGyjWmpfva/EaRGDK3EEBck6UOejSiyCK8sIzwNxu7bu2fpOapDfmyoTwN5TyJb6eFT3o5mT3tBtUjpGVXWOdP+l17VHvnEf4Wkos4YyXqykE+B+BJmYc7dU4miNDOuMa5eh5rGtY/e/YKcAjyjzMC8uWfTdUeSq6NGUlSnB4Pn3X9A9m4q6r3FPrPNuyyFbcYm9a/U8fnK1JDRHqrQmxSjqdkxbZ5N2dH0OgNDY9VE6wp4jbyzjB77QEv3K7N6roeUfpIOspVcpZVnVLCUiUzwBb7/mf8ExgP/bEGbhQT7kV9G4xYt4ZmJEgL+SsWUiOH60QoY0KwGDpUUgDvpbZcigT4uxfA9XorTWzMk/EsZko1dSvKnNf6YwAH2lDfTU/ZbVWpRtzb7HCK0Wr39XE1a1FLKkc4ihY3VRC2sclWzq2QTLku1KnUcGoxWrSX2hZo0okWKoLp1ceh0qYaVQ9smtjuNF9MU2oIeGC04uJSUyowe73Fa8q0WD61n1RI8pHVMe8oTOr2z8K6WLZOgpjLdaIUZ1XeTx3IfbZMJ4pVxbizLbVXz1m8ItMqqVedr1Xl7HSokWKlJAyWFVvdfKVI1JS0dDhURWQ6Gud5uPkrtg/0LIgEG5++GayrsVWmfRQIEqhLkKwrVrrvp1sujHjvMbXfcdU+4CMrgNXhhNdTue6DWI4vtd4DGd08/DcbQeezJQz19Su1Qg2/ES3267HOboFGDQWnSNRnpaxmaq/JzmSSTiZnFM3Zt2jlkhYBsOWFArjwd8nXq1qPLkF4HFfheoVFGm22MsfoMmKzfOEXGK/atU0qcd8F6G7gSc3sqMHki7U8kJGIiFqIQG3EQF/EQHwmQMC44/RqiuPKb30Mct7jHAxcCviR2I2wms8klM/GQRBJxcJUqlyCJMJ4ccliyy6448oINY6dd/w3nMLDDi2nOYIY3063ISPh+8KMTaFJ+lrLawogVPvFFjjLLDHPNMc/U+MePMl+GjjSyyOOfgAQmKIoEJyShzPfWcwukeOmNF5fsHxYLYfnZZGc6PutUozQxRP13d6hH6CJNUp3UJLXJqGRMTHeaakRybFJtx6iY0ETMlJFRGpqhpZo+q99C0bNx36aQ2PNbOTUfbZL79oz2R8KZM6aqrKp831w8W789TOv3otzuaKYUvOGgS775o0u+BiIpMpecgnjycaNVukAMVfttbXPVGioo6/s38LDdSm32Y6TsH/VV3+bX8mxfTROtFU1RZW7Vl/1NE+EzAAA=)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Chakra Petch";
+ font-style: normal;
+ font-weight: 700;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Cinzel";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Cinzel";
+ font-style: normal;
+ font-weight: 700;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Cormorant Garamond";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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98t178QJr7Tb/fr99f914FX+Svnfr6WG2LMUmONo8DNd8f4fbiMOEQfxY2dhpfPV4eVFqlVarpCI+VIMVC8SMH68OXOka1TsLFOwrKdgNVohVU4DhvjGGyko7Ase2CZdsOSHUFkqnF48FQ45BnroGeMA56R9nuy7fNk2evJ1KIk3+tJB1PDpKv2ghBeMjVDiV1uuO6Knch8oHUmgoVbk+wQku87BGBkeCtEmjuzQxQiDUVtDMCAjmP0p6gXfCiO5xmoIeahMvhVFFdptDQ3WA58cNMhTUoNF8gSrTMQ6mUyqtSqK4OCq7PlRNY0RRo1rUhkRLDS50Pkiwu4UmXtbEZp+RepP2QwiGhtH5o2R9/O1y/F7BVpX/uabUzztbJZYIuv4maezb6GNkdp8hXbHKnRl2ezrzpfqpi32oTyPcR7U3sz9MZb77Rp1+G9Dz565LEnnnrmuRdeeuW1T1lR7NQtizrnIUAHsVcDMW56hT9fn/SNZ0nsuptuue2Ou+6574EbxatUpTqMOOca2K1+0ryilcdftq9cCiqUP2dihCEpbhRIFp2PGTwX45Cr4lbGHx283TExNtbTi/ssXXDJFQ+5nkkvfJ999c13P/zU6dfjxLKcULWaP/76579uOgSgEIauH7oksvkr8nYiZQxnGhIkp8s5rtjY5eyw9aiMpeCFjhAVikxWVUy8OD0R9R9r3yTrVxSjwoRbXSaejIyBbM5MEwJBgjcYb60BVlhplV2WNyxEQEDBnq8o+YrUabKlnECKNjcolfxsk4baKBQphZ+h1PvRbtSxVch9DYI1ZJK7+eTRUTEEc3TQNy7KPklq3P55qdU+2zRZaqYcgXw5s4ZQGXC5J+cQds5ylAl9Unwzp/Ksm8trOpfdjFDOY1joFCs7qfNkdgJbwBYi6lBulFDeyUmL+URm7VgNa9u5B2vFWnS2ZM1ZU6eZU+7gn4kEj4wJNRveImXLWbM+6WlqNdqclUlrDFWwUhQeGk2pGJ5eNYaBcCONsgatzbwYgN9bUgBRxyeNbueuzZVWBAQ8cDgALgCoc+3NAq3U/yNb/78AgJ4m/AXoowAAvbZxAagRKB9jAMoeWE944Z9FCRLAy3+HE2RiStSrFScCELJGhtlN0LwG/HgIAFuo0g8NHJ2Vt+ZAWgzMjZ+ZWuiQWfWO7ewe7vEhQgmPWP3C8Cf8Hf6pVqnN1JZqW7WH2l8dXPqplFnML9dUzG46HQRq7vw12Jebqh0NvxuQhXDP+aE2VJt8XO5qP6V+F4Px+C2g+9tFC7O7FYDu4y/wxeeLjxc/AQCe//v8xxfM57rn97zxufrZtWdXnwUlaYAEAsjSkTxAX1j3uRJ9Ps7rfUuRQHvxz+CrTWnhVQSlI5XGocSGlH+0EXwzqFerjpCnSKwEHDwS/UjJGDCiyrZ0Nx7689zJEPcvrikgIxmTZloTa9ytiKXZvMqhWUt8aIyx+amU71QoNY28yN+4S3MUYdCIQSChTFK5qGI9/J3JWxOVgF4lGg4DI/l0zX1IcDYfBEQRi0yK3T3h4sWcOSORmICQiD4FJT1c1px2ZZIuHMu60nMv5sXVcrfTek3W2midDTZJtX3v5A09Qr6hhkk3VYkis5UpblCl5qsz1zz1KizhakeFppU3vFtCsX2TTHMIWutW2hygjWsF/GtADgUJ1wHSf75qdDXIRzbI+FrBDYJCRw3BwG0+MhSiHFSEGIiV6F8EkYgaWZwEIkEptMtHnk6io8nHU30j+k7KLjdPMZhFol1PIjIVfSdBIZ0OUWig7DVkNA6mxc4QE1fhkhVD14X4JDZGXOLRHG/9TAS07iognH6GKOKeRcNCjjbgmT3ko0bIsXzUcRhbjOpClB+CX4ghzpmw3rb0ZHyJIwZHgjE+0zPEX172SjkuQO9MT8prPOBNS73UBCTAMId9ZNIjG+sFaZQjjgJG2RU0NtLzudA3FZV+BLSryA8IUQqUpNIFRCEBSLhPTttfD7TW/tNY/AzUw/vlJV3KS7zkcCnnmQuN1mEYyQPkppBLLceVSJcLKCjsMS8BRjikvZLLdHKufvJcaTgMlFe+PP9tYc4oi4yp88JCxWiFdWG4MdSPA4NGgKgFGc8yqHRYVaIo6qoHfK2sS19wouRLpoAeSgAS7hNovxpq0jrNaNbc5JjmvUQAADDMQZ6OtWRCfXsLtxxcBhWTJlySRn7t5VnvpvZcAgCMcEh7JcdYssyPKyb9oUmsGAfZu1ApSR8L9se+zxpV6tQKR+zyiCpcIW6Ryhr6VGNUUU1abnBIJCGrFQ7wO3CAGvw/ROa75GKh0B9eNijPQKGSu8tyGOo7q1S92Lood/WtHS/ONqv7GzcqUdrVoPOu23X5MJRgpWtY8TPYSTuDDCzvrJqIxYJnGMDxGKHAAwLCvQfBNGVZzCKAGl/er2myX7OVLx+Dm6eIBstGlITbkK4uuoSTEx1G7AGiCODGAYSBtUuciNrcIsnxMSL3OHi9zJsUQcJlIuHMn7VriOO/x3j0jx9AHGhaoBraTOpwRJl1Cwqo65Ht6TEFAo1AP+GnMCwUyWi8aBWJMgBJqsl7/ArACv0G5TEBMpiAo4irQKbq4NTvSWr8dSJtJB03P1vzqMvmyCZUw7fFq8VTosYzzlwyTv7OfpsQp0c2TU4o9BjBJbPXVFNVToN0co5kOoJEo1VUM3W3NhmmhqXYrbe6YrBQt5YcAFwZTiBa5TgMMojDVKdeFyuCECwRoNJF/SqzGMznXs0NNva6CUxS4y4Yog7q1AgyD9AEaAFwgdEQ3QdIHkkhQB5YMsb1kXxkTSmj7HB+f0GkMDBfP3mmIA936r+/pRfoIK81AeKw1xivn2/4E9H9Xt8n70AIREEa1a1QRg3DmYYuoqgosczceST9rCYp+e3crcdQ2q04ZtJ60pmuhLhJdsmw/hzkCb73CILGM1gBrMDLKBkRA7IpLtQBXl54tgHR76F/CmEB9/Qw4/SCAihissYRfVnjkS6V9BPK/9WswDZUZaG7mYgG+AzyggzmL89akuTPjWgW1BTbBJMwFHrDMQtFpx9m3WeZQJ6WmlVdvaLJd18AKVqAlHSJSZMjkdanp8wJ6TcXAZnbOi8jbpMRLKpV3ySJTvDP8DydHk4cBRwAeyr9C763s/UndvYQyWVe0uS5VrqqaCJkvpOjGSQaHR3B0Z6pHZkZ/UD1Mma569pbmWPdB2/pxCpmimXO45KG+0h2Js1f71IRcZhU4bfSsxdhvRLtBZA1YjofY8iNGYg+OS8A++3MActXsjSKH1hzDg8CoUPp5y0UxGclpkIfvywFthBOeYLFRF4Er92QGer3hdR5cYAAH4ZPF0oCNAxd6OaTcfJTbJ+NFyby0oa0FbhbcOOZc9pwkzn9rRQnpHK/ajL9Np/FIhYT485xaeIULOvRmQ5zbo8gIeVJJA77EQbcUqaKf7VXWBUziizQjMsteAqHidCcmhwE++IhmS10oizRWn/OEqQq74qPH97i4OaQuHYRkWxfGN+jw4J1KmIFFTORwfy6Uo+LcGkXJ4oFyIfbrY0KBCyqvcufspLceHBwsfPunYiG5QR1VkG2P6fxIHU7WoCtSuvRc6KSdZw6wa+cNnotBrGCJDaVPhiVcEggSplPtMQSfIVv6pw1BHT10Jr7nHXTEkyTONXk12+0k72+n4ykw5TItlFI99aOOO1Su1OGGmjAnCxqdKfzuSwGyOAECJ0uP6TXob39fWJn5w2W+6LiN+lLpiAjfXFRY2rvozEFe7JrhOGTth3aQwqMkNn+GbPqU0CuvyWZ9ucnsZsy87Uu0v3b0fSh4tsE+KpW55+k847f+6ihjmZgLFlq6iXauy8sxzQS9FsZPn+feFys0HhgAVCraEaCvFx7DD05PbM9wBL02OBBj2JK3yZCW1PLLGHVEF8NMw+lYRJUe35POLHEMN4MAJkMPYkjbDaqrj0y+z5nS2QyjkJ3G2Q6DSDtdScBzilrjA2VTebiElp9B8tjcAd8p3TdqECmd8SqxinSNokEtwc2AXqNBLTDvIzpDWvNPmMioByPb4HqhhFlnzKHDxcQF9OFJXqnWLAe15bu3IweByG3NXbgO72X73MgdQCICgiaSC+Rz6U4EG5eo0Fs5FvVXeRmTAs0jRTDnG6YPjXuiNkc1TfFUf8+vXdGBfnuyQhN+XD/Fx6KGNjfWu4q29U070/npessRh/OezsqvR4D5H7/yo3PzWTekjJJdqoaF6QhmDA6T4VUjqLExZKP8U3Cr5pWWY0GQQF9gPVYTFhyhd3g518D4s9hO7vIcOwdDK3Xm5Ts2HqH/eKqtZZCWUCiQI52NzMlP2uQ9rj5j3t4FBg+rqkq91ru2PcGWLtImtxJwVW9nJhZ/RmyJT7FE7eSPNMPPdwuLwpB4QwfwbjW47tqSAw2asgZRXMiNi2mbhximmdrD8SB5JK9hU8/8oPtK2DHmN5bXiqaRN+a8jwiJa3bJTo9379TFEivGtl68HQBMwHzE2nUqEUY9lzq16BCF4iV8BQCqGM3ZfrxcI0QIMT9sTzleoVeaAn1GiAZvBpd4tKHrK5HPCkQKTsXggACpSlKW+hy6D6JKZVLmYv+VEFbEMcDdCEKxD7AcGYT9mVK0YG1kJuKRx8Rak+Ihg3YUcL1qSZkL+0KldpR5GnuBT6RANZeEo3Ikdq+d9/V0aNkx28NZDKCQ887vR6WoSUXFgvXsGcPp49BGCGT7SDr/ZevmTFNMz+ZL/LcUKt5MApO4fbCUVtoH+yOPySp1e4FhQKPdgchMT7W0w0OUUpIh26xmK3d6zsYPVj7girzu/azu18We/kZ1pCrZuS7rHbISKYswRgBh0aiM+Tily3Y0FsBI3C5J03NERy542kwgWk4slu0Dzp1hM2ddJbjibvSyw8Xa1LU/auws4mSz12kbovzq/uuj7PpVr9aHx7Ri+CIzW8LEKblUOI4C2Qd/PDIbDbJgtdIlDUkc5lymLuekjc27HFjYpEC8LaQTK0qgp4x0xqMU7oqjjoTdd3LNORsk9KJUSkhBirx195INCzTtK+WcXqtCPJggoSsODtzbOebPQYsD0jiiBmJO5qYI2KWOE2TQFmGNlVn0zqcYs2wjoCu0Vh3yFmnLMNGXM2NYXBkk5vbHR5X2ghNYkh7FDntYvvy/vBU/8kQRagLgmz8JoanUVwspA+39fIMUOQr4db8q1yPEYYPC4lQKCBVMvWiIic7+5pf6phsQLwJqqHXhyU6JGPMOh3L0LIMxDICJX2SjX4Rta462Qqj9jpk3sEmM9eNwpnhtZoyfkMD3B629ssMz10Pb8hC6DNa1yRMpzOL1+YMGqxpsbtjFCRNGBrW4WanhITxPnpuL4XB2MwzK/Nm2Xcrsejtv5WH3O6BleSy3AdLzxJ9mTP0aiXJaUiLAyRBkTRWRyF1g1jPvqxJjIBlmtuumyfgfab2EkeJDjOQMGSqdf2slckECF0LYhxWZyxmHHJqhQn5Qi7Vq87mrCNkOH5KIjgI4UkhDjwpJiBnl5jeGGDG8h1dr097YsAFFkjWSoGcFufrZop6hxsE/MxknczqR8q1UVnV8kzJSw4kBV42eXac6xVHvJIijXgeifQNyfK2h7U/In00Owi5P5NZ13YUQ/GyPjWWLp0CsKamkgD0Sl9C9SHdqpH6VjRnmC5yLBMMjF5PF/W8T6Xhu6AzQhp/umjGAsDkUTz15LdSNMldDrpuNPKT3UqBgO/nRs52c4iUPzeqlhxxxBMtL9b+4umKYYuWsgoqtMXrPlbyvO8ZUwFm11xB24u74u3UbwO2OAD0QTlDEQRbMYtTIc5P0qIxynKC2DjfZSKvZc1S1tPoEYWWrAiuUoGb4TWo3pKN0dUyC6ReggRe/5ySy3SXe0vLAqa5NmtLXYOjNiWOsaa6bcUbihDofpxNozO95PAHj+o67N7A1n4tsb9R2V8z7N9OW98x9Pzi13b2O4uTmn5BVgNucKhIPuQkK98LWYx85qwY/pBPhkBGtEIZIBMatkij3WgADHmIj93+H0ATYXgZAEBKMfeIuR+X8g/KZaBY5gy22AzE/XTaOxcT9m43uNJz/7H/BiE/kNyOR1UApEdvPent5R+n2zBb1UsYrXFoBSfITZMPNdoiFogNoDclUgyotMTeaW754rJY3tQcyF4GFHhzXi7nlxuYed3+XEgMo5NCIexRnphQB/ytjC99o9rUPY9RK2/4QCVRWAlXC5VG88tkxIaz6NwsIy7DcAL04518Fzh6sKWhcOGNcBMJ6GePpJQfLKYVBDZ4jlnDKe7hRXkON2LkfuC7KFiRbixeaQfghgZl0FZqTwndKU6FJSNQ53/98/MBl8pSsZo4Sigx0EXC6B09Xo4gYL/uM8tyCgWjYCqWxcChviUNuNFRdq58IrTDQUEtg6e5VYYeoh9iYqUNVhNKyL0E/FCQEuNR3oubLLJlA/15jj4VDOe03PjGFAo8fQxHVRxQDkcPiaYpS9Lr2U6ZsVtnhKCiqASccW+5aZKB+MOZ7OexK5pVGQElZtEDr1WWMLNZ536vKcy9Msm4nHu2My4VY+anPxbSdwa6zD8wZPdHuHs70+occwG7zLlyqy4QFaRCRSgQrsT9E4QhlHgcY4q5s4uDLBlM5ueqxiILPAbx3lxhUyVt44RWFcvxgu8jw+fFaGpYvN0COVQEboACOGK2o3v7fLODAF7ozo7TVEijVl63KJtM9KQzhSQVpBy4KHSvgqlEK1m7pFFyiTgGIzcb6czEUNlwuRvRBLipE9zj0NGtv5eCF8CofiRLkmuxEuY0c/CQLFYkj8t003JmFdL6JKh0kOiNUuIA9vgUqctam/iA7M6amLg1C5GKIDsTjxFztGpxv5Y0yxYzhNU4QP18MunHb/kS2rBkvuGdKJ1zJXqJ58o/N799OltF9I5ePNC7NtoK4lYQz6Xoe9U1sZOVhoBU+HGxgTFZhJzZDlZ9ozEL50FpkIe5kjabvFksH3Rn7bGAfYvKMl2HrTyYoduHsL4E+7QhW/V/Ad7GjT6q5HJfKr/6jbLnIhr6TpehPFdmr7Y38cblUK+axHiuHVv2MTyACls6v+GU5pwHIQPc20okTFXAhTn4S6GsTEmEQlmQ3yB7TeZnVk7DPOUBiEUKYKMFZFfXM1xQTzBDG5zW0N6kCJLDgpKIbQ6H1jmXRgGrt1dlVILNUS3+RHJEM41Y0cNjYlI09jkIHsSMwYrQGxf2gXp7TEngjZtlXO+LCBtybrCH5mUOg+uGT1lO0A3Paa+b6zGq208KvQBRlxRHw6fFqPcPNe7RmN8VKS7UqckHIbteLp5HEzL4mekNuc9K9KxwgqbgpAOtiN4ZTqiwuBxbPHL6oY9l3JorjivzJDt1fjzI7ePtCy7U9IFHNCBq7U8PvZxZegVJldKkap/mpi+M+dk8vxV/VLcZPKOHuA7iuhRwlOoL7IL6HRS9IOjwJCIiwtArylweNtipHe0SwvPGKrs2xbtnF0BnTkfNVH/lJR5SibxRPAni1Zo5PTiPFfBGEiu1SivHb5iB+aspZomIXu9Uh4wn8Jz1Oe4PpqxDHHMq2kNpqUWRVTOdumPsUmtALnrf0iVjBb01JBYcY4y6AK+rxcOSmFPb7IqXtrRIEhg3ED/nLvtP/tMzyhjjvqcHV3eKg6PRPkJHkSwQiwWgPMAZRFQwjHBhixkXSLxbK5gGiCTcQ0gXIiNK0HW3453ugyaIf8Tz35Hu7Ayu1AmztXgXDi44MxMBL2lb7zoPNKd42ZacCvJg3l5gF4py7dWZvcT0enCF8RZC/WACEY/3MU3C9hCnOtmIGtEX3BRfcT+W/rxg2yvZuOSQLEpM3KXlY4f+IBIwrERRjHsikUK4kqPTxnqUkEQrvahHameIBXz4EhN0YaUflCunEGDsQQw8BQgHI9/x81dVTG8WrVjglqAdK0SV/aWwCJvJL1uwqiS9tAgUPcu+bHfcGL+r5rsF2arW4VT3RF3MenYKLly/rwSoIHXjHGbOD/ngEiqa+DnmLYND0scDqJLSi+HYIZx+x8g96yvhpe0FfmF+SV5ZnvOhSzjfmLf2DmfA+iL5DBeCbWPiNLItivVS92hrss2uWSYR7tR162IAsIzwMBvZZuQqywVDCMioS5CGn7ff2t2Ch5p3DG6m92olIY9/YYDtnqLGja7ai4P9dNeQVp0YywIcojo8TwLbukitEJ3N7BCkke5QLqXmfw8Rh8xwzd6D8HVC+mc0xK3GpUHi1w/gqwZf9J8PfjRA5WvBwqpfPJ8+p4luLfhOhirfVFjVamprI3kTeMbiCr14FvkzlJotKWbjvIGuW1q6cqU76275zd6U2WVgu3I8l8ZbsreMysIiqgjGVo9aSN1Qu7PtN1pjzZC4T8WaY1Eps9BTcARKffcpxrycr9IeuRvh/MC3IEYZotY4V2HYA73zeVX2HLyeGvWlWoZ0utePIzlsZiTmFVEw0hbrfogYdT7LM8OYK4lwvXeMyFnnXdjTxlqFjlY551LiqaowxMOr+sQtwsRZAi3ZQEsLBZPqxSSIuD6T4kTJuCIp63KJrOV1ZX63Cjlr3oJEX3Kwo8faSfR9pGdGlo/ROWCTLKU0p3j9Er2pLWMzTuU03RbErK3hZUlePJFku5sFAJlaJ8X/CZyaWUPeNZhfeL+gWZ8OqILwLjg4v653Au82yILhdjgkR+SB5qAiKGuPBJFdT89ZJNs1Hi7ZL+PJsI4KpG9XX3tAvCvluKnA5VgH9nRtJGxEdiEdISMs2wWEbD8q/J9MChGhPIAqhvMgIiQ9RYJaZa+ehBREkAjmMQk5dIjA2bxuB7j0DOMlmeRIkk6lYLnNacDA+5GfXsnB+fBkvPiASPqeKDst+wvue+/Xnb5Q+2aAQCZIWCrFS9Lm+xnhgCJw44mcCH79Q4ZDkes03tpkqWVufC0qm7b7j8TRoLKm4O7a8DqsfuCsDKiw/iUGPWaVL2N0MnYWMLnPbuFz6Lvp7cxZe3+WMyZeBAgl46VJ30zjYW3KB5LBZbx83CyyjUjGvpUUIpoj/AuCo3w4LqY7M9B+4sLH1TT6RpAMKuLHxX+tCLk3c0kxgUyA5RpkPN796Xs5dyv1Oy2rOWvN85UgGZQAzAIhHyQDusyrRbU6LGm2WzP1mBOuIMiQ03wSN5u6e+Kr4ksJBUSGeGOIoITAK4rLdEpXVXnPPwYHj8ne/u3rSlIaUOaWL6nIz0aFUqFkTUv5/MBLF/7j3dsLOEPiNEGBnOaRgcfBMQ4kg78ZiSTxwp4XymuWZpO2mc3pWYZSasWUYGSkqSbw7GBVtafQeAZdBHjqIT4fokD5+RAT24Wvrg3UlK7LlSHuqiurBfkSKHebvDLtReF5wcV8pALzhzYnzz7apt9pWc/ZhInKJkSOURLZkt+8h8+GN70b2YpnMGYfLeG9IDdOmt3w5yksY1m858uKIK3Lhux7QR5dymsLUW0dbXCWPtE1yQV07k79zmNlO5vVwWZlWNpFL5JW24T0qqgnbScog7SK9j2LZZ2lpo8wN4Di7UL8J8Xym/KChJr0hMgQksAZkevRu/rHhSOchfbTCsPIcIvFx5PqxrJTidwo2EaU9cfEVz8a6pQdCq4jyv28pdTx4+LtX3JOcu58Wb9QSb28M2Z1jFc8aOCVerwbjPJHlcj1IyN1l4Gz8aDxhkhG60EzRIZo/dXmM4hirAAkTYObo+69Fsg0En0jS4zsnA7Zhj23TEOsvnqdGZkFFuh6nTXAZk1nsTODKz2bP2lGV8zKv1tgiWqCMqANMLUTBQp68Q6Ev35N7G6tm1En62LRGHSm6fwPEit5RXOl+O5mFCSD4gAoR4LAxUAPNS14Zj6jnu6RT8v8bnqpXivaCcZgJMhNB7EtuiWLMe4AE1lUDyG9cmZ8JxZRbGeDFsleYDhvVXdX48+UF/5fsOrwBV90PfU6q1zZ4KDkb2Op+U1VxOMICDfbTCXF1KpvcAi8Uk3w7v+6xswuCI9qkMnukthmaBtBCSkLGu2KhdC3oEE5D45w4jj0af9kw57BZk1nczIsdg0wcWT+N335X0EpN4zjPhAJrrO3OJp6U38uracRuI1b03JYwHxIgeoJlfUnF4mUPFdLD5Dpo7nUJ18fPXv13Tn5N481U4UMltDe3d7hsa6Qj0eQ7QM3dwTNf7ZOsm1JVc9v0gLbgvRH56jBgP/rn9MAZoz8tu1rmweFyBB7lYB/nUOL6vW/hcCV0ot6XorHP/9nBmjMJ3mi9dNXfJW7TzLli6dBC5JB9nY+7yEbIkO6UgxV105te63H2Vc7Rai3yVisB3+Opm/m31z3HLH7v3k0ShArtFTV6QeClb6hrorZam9iwFZZh/Z5IoUzWuuGLbbQRH/x3Ibm0MrhquzUWctnR1Wz4o0dFqTqK57XfWvIVLVu1WyLQOXML0S0fovgi2rvzzLmxIqKdxRp0Tn2PN/TCT6VZfuqoVf7PYvIzK496zPZRi++/ShncQuHMdony8iW6ABOO5rDKueQrpUVtUuzSfuMlswcfVhSiZMLiC5c5j5CHfso9Y+ZWvnH8pHqDmloG9ESlqahSBJq/qDfaV3P2TQ2qietRFrwSPuHT/K26MFVh4rhwJDiRQg+N1QFHO8v+bfICpEhOIHT988Rpcs6rnMr3/SCBEHlqkfs0Xy7KunHSgvU5JEmTA+PIHnaqFyXcBaqE2G1DlHdkwHD5uJLqFVNwvoECONRrUX/Ss+Tb4T3r0ahvSzmrvo9PEdS1CpxR8hsdQrvbVWUBY2u+TIY+fmLu6oxmxDGssBVdn9iqhFF87FWBKWnd7GNXWhb5cTXJPaXwMq/mmV/eYVCJn0Aw0ypekMJ77PvRwQ1OeTFdBuZvGrNSY24A9GZUX/AFFL6DctNdnsogxhFRy71TyDk9NGVChZdWKRUA+PgcJrve0oKk0CRLyyjE0gEonNBfgZPC6sC1bJYOUTEU60FUgpIBsHS1SXohguSy+J7S9vc/QQBnFoZwAlVDe3ue+KrktvrgJ6geZteRQt+FA/Ibl6/ptcsKnVP6nZFE1Ncnp6Y321xbZcx3G9Xi46LhTN6ZrXWj+9tR53jEEkjLSVbVXWqk7GUWNXCy12NpWBW0WcdjqUEq4871e2oW8c2hUUR0ftsiMX6XUTwm98PoK7aSZNcM9MGVYt8i//o5sdL8PqWT70Mf0whlgGPQuaHIC98dfgSJ/WItuEyjxTcu9t3QcTTiiF0A074GzRNo6xqoMFVybA0UvSxz+gV/OP3vYZ1i8hFlgPs5Mlfb1hQGhHnl4lkDXO8VCqpugqs2vdT+B8HvtiAyZDO7GdqS0B+tTL8n5V8uX6qH9CKE2r271oUCesp668eefbt22ZYvbTwiYb/QO5+d9EJyROTnqdAteAhF+Zqo2YM0EvXPb6iM4BkUMjMeBPi2hIFF31bf9i5J/eIjI2OjCq6ED7NWF6t/PXVrrfavO/Ex13Kwc8d5cj1ApsQqe7IhBZe/knVCRszt20WmOK9MmkfOIbUW3D7EVKn8rz+FMHJejrm+LF6dYnWcNDahSOClGHiIMRhHayPxMdGULYJZnyf9tJRcxxZcjAi23GLX7G/FBs79lcuQmu39st8/64ya3q3vfFb3FyMjS8zYGkdivx2jJT5FTKsDIsq+WNay/OM6yBzCNrwKugATsvX5I9/mhNAtSZXaP8QzLN+zy1r8MTPbu9s7UydrdaAvpdPdZ2XsMMs7aKIxgMH1WpxVf1284M1eF6DzDPaa1LB9VP6Ci/CO3OmWmmWWwWwifPOZnw2Cn7/pu/yaag/t/fqeAWZNIhXK7hV7dVVmeF4ZHFjUN9fnu00uas7KvgV4CjOnyywV7samO6e7VWNa8fF7ANt1U8Zcv+tVzZ3O+wfTkJiTvJjpTDIokrJ1OMF3zJkKkEs/zyvqX/6pqXAEkGmzNpQb5peknQOdFQv0ZU7GlkPxytJpOlklWKNUBDiGcqGw/GROq9yINk8zVFuWvy0Hrv0rXcOnfBTPlDMUAmtaZV2pNiYl2NtQ6fQAJSRSPWsDIzrTc8cXF7vRSEyZCkmTotPx4ocvmyn2UscmfdI/Fq8I8ah+iZlfJ1b+eMZaQVhTkMh7Yi98g/DjetfRQl9IwqqNrKxXft1ETnp7fJcdonuSMV7vg9lLcsqeHQ3TAjJJ1PLwt5i3XFA7VFO/3KlTwSOythKTVNV4WDViog/jroD8xw9809ot7m4hRMM9jdLb+td/QNewuCby1hEvESuplFAEg4sqwtrF9+W+pMuob9JEeTQpf+k34qqUe4zS6zfBMuEZ7KYInYxJCdEZFMKRQAngnNt+vYA6ZfrUd/H1DI/tqHMniQTaJ1i3j+wDFSonvSQ8f11uPq2VYCTQ6tBtcwJHHNb+Th4q7rP7wOvZlsu4KsLz+89ncL2gfvxU/Y9mv449UQgeMBKntNlKEihbrHfcNEhDrae+A6/OL1RmTS+7LmQsRsdlzxnUH+vFPAjmPGUWZoDJugsk//7LzLK5xy6lMp0tL4tVLFd++VSNvPvgDuAmuEfC0T76AuM6DTdBCWDM8gi2damUWHW+PHwGmaT/X2o/0SPJM9grDV++LmR21+Xboo2OrVhy/3BiCUoQ3VRjaHSl/K3t5vzczEncvac3XeK+yz6JXMSm+OBQShNXoS3gtAAt6beZFGV/hIjVIrLdEwKk0EvmTT6gcTlrY1aZTVxW5HQO47RxTCGRbAP5cvtWEWThnTgbNJM/v/Gx4XaqAlNu11oVYm9XKCUf7SQGCx/3+pNZNMupOqYwhA2PxyMDkQUY7daFP/RxB1tgYR5stWMJ3v1eMV9Vn6k0y0JD3vpEJSGKbqOmd/hSKYrnIqWkNOoqBBVRKt1z6eWtk9eY641l8nnTq5daFoVzxR1t2Jud8ZhrLcXqsofxfgyeYC/9EmldIIQZoxgtSQYuC/wVTu0NWavs7XV6S3cYSQV5bmxHWqnuzrmUtRELGZBSy9jAtMXFewXkB/h6Tl/KoYmDXIGUYejvnps0j3grf8QgSgQeiAPv3PMc13277j0ciqZvPWVUlgYmbe8U3x5kw4iQ8h1RIB8XtEdIWi46hjhKeIl5laCCiJD6lkoQX6NSfvWnDAPe0EAR9Jkjv0sNUSGmNeFgid/n+42S3fR0ayr8Fj2Yx9wRndftKPya6y87FssgYwUwTgwTfLE2DHzbWA+SPn/U05n//UAybBReFNg+p8jiWlGLkuvG/GMtYL+bYrvFrgd2b4HVQNMFvz+K+4wVjNLdoR2xD1BSn5TJft6dsK9uRPbqqKW+EOIvtABWb5nbAeBncWOq/EGebXvpukJOlvVlKmOXc/IX5KOg0I2Q5wONruDg99oVqPfT+hRDW5H1u+Z3NWbrtgJ6e/JV2O6U1geD+99MDK26zXxsSVUlXt3FW2ZO+WxuddJ4rSq0+zmyRQMX/0dzPjeJ9KAzfPQIbA9WN8N8zRt3OmL3pWzB+dWdmQB1+bDZRWRJ7en2q63LfN17YR9EvawGWbLMZu8bwu97wkT3IjzyHds4sssFjdPc8BQbp3dFwqqGcbaKKTgEx1YEwUWeJvVmgCnPv2SeL3QX4yTgQC4Ycdu97yFKZIGSjuSLTQUXsInZp2uBNiCxHsUvR9CjAEHZP0etxo/kCvihVbXQoYdQEXVw6i9He7nKiJNw/wa51thUY3L1Oq0KZM/RBYovNkiQ5PN72poMZ+xexPpYk1r1GG0F5XGveqOSFHWitA1ozczX0XBe6ZrJphjJ8EumYmnYvxdbV4brFeb8IF9MxNVK/qI07NFOKyhNWhnO6ySGzHMhLyAjTzHWJeVXX6OgG2URs07n01Dug/l/900dnW61Zun2GA8Va//SfTtqyhIBgV+nEKAu0pQrXJ+uC+gc9hCDemaZF2hPog9mYE22TFtGNVWFnk1maAjzgco8h6cW6rjHUC7Z27A5nro1jC5wuSfzfbAuMAToG78bBsMg1Q7XQn2YIbAZdY4UeRIv2oRVFflLlZnf4kuUCYiqCErB161LfJm6mtDLYVDAxBU1YTBVq13dbLxcrPTPOlp5EvdkEb9jMR6IBRXAnVid+oHSzpnMYOCo1OkXnq+iznf2sAniD7epMWT8Tw6/3oE/MGCl5ZM3Hr3pgX86wNn/t35DDseV0q24f29PhTAJir5QGX9MxfetVT3fihj2XkL8uhMLkgGC376mcf7Ejgs4J04IP2aV5MtwFPwvRoYokF1msUqwfwL5gmW5Cv+xu4oQcvVxAlrcCk/tw32cszLPZvUZxhUF5bEppjpINROvi/aiKpShvOJ27WOXct4sn9YxEX6Abd5wEEH89yas1mZIoCzHH2OiU9PSlhOuqKhuoO3nNSjxWUY28G6bTnGWX8OmpmwnOiE7niIsVAFWqym+vrsuMBSxvw5DhCL9YwhtXuFzjgawpIxOGIJqe/lebR3BoSPTIfFeaMyzihwCGqcPJtY9xSNwZThfIyxEtOuefSD03zWSe0qdxUOjSfh46z8Fko5GMddCabtKqJ/NCmH2CeFWACUP73ls11/bezD3EtPQggjWhwVzfv13bQptZVBk+FIi/Lf3lE+5XC85/HwcnlzpQWjMu7osVObwp3T5pVLRtnqwN9+Hmie/YrzzX8OheQtgSkRg45zg00zktlFRXTeJetEWSPpeW3DMshBOkIv7ipg2luV/Alt/G8eErIDjooTNbbDDvhmZzbYhN+I3PK5zZEfH0wmvIm3I2Q+bp8M6xEruqP4GsXXLY78cCLhxuJRHBHEddIINfX0WPDRUYfJA/nvW5a/YY5Zb4VLumXTl31Zdb7BMdqK55wz1+a6ryFZx+ZbwfONJlqfatKTqJY3nswHxeZa65chjLgipo83zRw72sIWBaJow8d9iIiv/4Gz4TaH8SNJUbL8AV+7Fju6+3m+wKyaKWL773hm6PXdGm7fTkrBdQEx8+eNSdw0bzKGCscnHbD12KotfvhgPcFZxZ8+WI+3QnVv9GI9tp/Hm26j96WCG9f0FUaEd2b/kNwslwsQE+f/e3DPdSFzyPFfHa8X6KOItgIMogi3oVYo/v1zm/zD+swfaLJP4R1ihVxICUVxSXmBlVk9TAvKJjCpAdXOfPIFiH5AjVTvqbE6LGVOkivP7W5ETPbsSZV2pohdfsE7Q6/r1lxsZHPHpPnT/2jVxLj7i3OBhwJPpUNTY/YWtrY63a49DkqK4/Qc0drd1XGXvCZstsgONDImMI0xwd588kOIDr09fds0AdNcxGrQXU00Of+suz+eUDOZxMVjH0EMp/+v+QMGkVKfCSvPxrR7L+OuKGQP96DhmqgPfSqSZ9oXzzlhIRub/Ep/MYt78Hctf7TXpUE1sXBhnYSxFSuRF8mUs6KIyRFQ3ZbIGyKKK/Aeq+6OVIosNZvE4nG7gVf1CtCQR4q5PYUWUKqbgGvCwkqXodVpUyT3RQpkjoRNVWMNmsdVO1YZ7OmKltJ+n8lZmvQo2wOeErq3EtNUWTyOzhavt3C9r4BURCg5pXJ6mhLZTFtUsLzSnrzB/5dPvgfRgSxf/VBMOkOn/Lv4jI8u0iIc8bf/OaIG+Zmy/2v4H3QqioqfnTNZ1426Aq37CoQw59fv9Ut1n/MWnUfwFDxydK4gf3nmojZT81yOeBJXOYEvt/qB/IY3pFLyb41lJu5SzwMacgStf+QH4wZT27eUa5zGGC/UPcePquSyL64KWwMD169kQBpzIgfOaQDDjdBRGkSCgN25bnWyAJ3xX2inmr3YFGssREPcokjwLDSWM3D+g1rvN9RZFDbFOU1i/7qUQecvGxjc/Xi61lywgN07Wu1medJAw7W8KUP6w++2oGOtc7QtgsmgfhOegteeXWCc31OdgRAWU3Zk9+PFlEvvL503MidGUcUfFyzJbaYmHyynf+R43rDU/9hAe0+0ZH7Yea3KauSM+rvjSrgdf9EHMnD2OneOfq7L/i+X3kKhkLfeUoqklLZbB5JBGVM2NY+LX8hd2y2Rh93vm7X2lvhSvp9qFho6E9pDO7TF9j1uDI5dBv8+Hn/Rc8g0L9OQvCjMGYrf2/QcfshM6bmoyxt2hfQSKkBRauWoAg0WKgZbKnLtZe4gUcmUhwnVxJdP7NWWhmyXO2r/9QPXhHnEY+70DsVgvX2Zvftei7q9EV/0m4iqjFsTSn1JoWp3ahGLnoDx6ppMtT3nHH1g8C8CA+YN8rPnesobLtaQ9V3Y519d7Ju9hvE4lTz4y4y91xeM7XpNFCKdp6qSaTZFqyc/0BzJu2St7NPzwfXte9p4c4KXrjsR0Kg1q+HBDj0BxU3zQmI9aKgTEihH5iE9oT8UcCJXncYt6bpgSFdzg7uDm03uxdg2BnDyD13z4VloI6fNBOzLb2WCLfo0xM8/Yr2IO0i8Ey9Jv2FNW9oCJCkMVbh9rX+nuSJkm5XC+e9a3IHGoRYNV5VoJN4/ZNQtmv1r9tqvk2vfTO1vYGumv7FxW/UO7DAoSfpMpmRNWLv3tVPH5fL3n9GEs9Fi7bRonlEfz3ndUrZ67iv9Jib35d+9eGOtbo1WHQ8X1koejlNaTGU1kXbHP7lsJf80XFyRMqY6kIcaYsRaCqCloB8WPGlVPFiYltDAenuwxgnpHpu3OGZClpkNYkmWJFp9FYTWWosDs4Sx1PtmhPtaFkOMDr/qK9fEMISBH8KQkkQevSXD881xgsUaAY80vgmwlEBiEfgAEokhS9kOVDpDdqWWzJ5ry10hJt7NI2/MeZ7OY6imyyZ+bXYyzsKcQTpjwV/psvwK88eHSeTvKXkHAk4QX/CfCVhjYX765/i5Yeqnv1cadvtFUs3gXbmq6VGzYhfmcpbrFX0mJS9wEPgs9DTarU1ej7W+yerx1NksjR6PpbHeRvEVja+Iquv8qMoT7Ch3KxoCNqDs28BST4dQi1NrhkW4/Vi1ARyTYbtzaXKlbb1euNZZFohZrPj4YFDQE8Vtw9QOGqHRhgS+HvyZWAILsDMuSwkrKIHr8Vpy3ym4CC5n+6Je8zNG3UcS3H6sWMXcjsOO5NLsSndRWK9EQj+e/xAfVksVRk/n/FrgHO3ykM9gniYgpP5FC0k//vzUWmbFu2qBCBRD2wieA7XFgFkYCRBzavwMk7260OVqnJ1tN2J15izamlaldVVTGnvIQun+HEtvJr9FeOiyFtxGWDHPG+RjhCLhLQXsBdhTG6Ume1mdwZke19/TVDX2wvIpSsyFtOkWPOsfLfPIxvmLTFhRsMiGRWzCc4eY65krYzJg+wPXpvF0egaXn7bNS4/C/SZ+FwT3E9lzjG04jIfQfGXlUkKtAuCkD38Am4ZQ5DM53PIBOD3SZAyYrc6yVr3LU2MwxnWYparc+3pNraferVeXRjCTYnmuymIKxIzjmecrZCgrxkfQk/8ZyVwRD7BvpO3WCYnRFKpSW311LmxCpMS4qG7GU43VfDhujomnNMWmygcLFbQKq+he1DTJaXPECwXzp8nWM/nAn6J3Q6VldVurZVVjpc9TV2U+/8PLvKq+gqK1RfkLG3uVK4rDaq0jKVrc2CZb7i8DwjAZNH5pEG+1CygHOeY6y65ZQTAnRyH+Nt8EkkFRFKdRx3CABj/k/k3rQHk/Ntnu8pS4rCEXhBvF1GhqKpSoSBebde3hllQ2EOFF8mtGgZdm54EkEJhMHQTbjJnAWUFTcIK1WL43LpBjuwUhVCcJl6ExPB1fHJZdVHqv2tUplQb3Ek4P8XjMQaVBpZJF/Jab6mlxVJUyFprSaSNQFi9+/g9zkAyyA1LlEwFEhvQbjkuv9X2ZdeSnxgG5uI/g8ZBlKrgU0mjWyjQmO00AyqPJQikpx5bXkAO8fh+J20bIAYc3yVfwFDH/PRXz2RKBMhFsDCeSzWmO4xe6DXg/mIbWdDQ3Bix1tfpCU1z5M2sxYFONBY1IQm/H0jWYM1Dt1UyMRLXPVU6fHk9CkAb7piVRPFEy12egV8tLFmnsplRx0l1rZZ/sQhbh5mklwD691Mw8PT6j+BV15GdG4T7/914iNEqQlcxtYLEefTWpkwP0qmZFpdH7l079QIUu8+vt2YhVH3M4HKWNWldxrcFYarJaM2W+56L1hS0es6o8bMScoRKvxVASwbLhb5t0xr9jUpXOj8TkhfH6KcBFc2vYKCvVO8zlWb0zkPaomV6wavpgLImHUezvlnh2J+kcn3FVUV9ZsMHB9FXJFjF3AFWu4tfiqrmU1CoEGeX22cN1l8WffDTUKTtwRxF4tMCliB9Z4Beza59PyFDh0qYVeEtpxH8e33bvtpxZXoW74bxL3e3klTiTqWrbhbf5560+4Q+Bzt0fyPu7bXjz4HVasqPUKE63fdHW8dk2M7ZJr61xjmXYYrfNzh6sWx3PfzyuYxSzJAmTQRKfrVA0iuNGozhef0fOKw1WKMsRpaDKH5bVAC4gGZT+f6500FByZsRcj/UXmjPQt9LJB8UQGWKM8gUPgDe5V0xAwEh0jMsrroHG8AvbdJqZEmG84OwABJkCr74RBHNBIMPg1eNQPDBjXe60RRr+xEsyzaHZ0H5SIUf4HrVqCwIRQc5bp+n8kzwuFoHG8LxLWvVGCbcjDhy3Yx2BcWQcZZ+S20vHkXFyLfvzb4btZeI1beA1SAiNpEEJbKNv/Zg5CgGWlwk51MVsDob1dXBwFbiHS2lHubnENv3FR66yFf+TK//UElcX4ChAmy9Ht8oku/erMS/wgLEEWLtV1yfV/aK32sM2DG0o8wYYJPD/S/jlOvEbD0XCoEK7XcStzgGmgWglFKjGFQpxKyloAUO+v5napKVMvPP0W1t1uF5QpsFeWe5CKdFSxAHlOGDt9vavOOI1Quo8A8FPd668NhX8FpEa26SC49sizstrhLIepQDgC54cvfypifDqCyzZG0LhCyeB4jrsfZnmic7W7LYrGsqdQRAgoZcXssox8Rs3xIJy2PhYzoT+Tx8A/k/AOmdZgllcgzjhjtXf3lgWqGQCCWcbSErBDM/ZEcyTBb9zkCrM3Olnx7LQfgLwnuDuN9dn6R0e5A4sbDw4ByhavCr1ZkgCp8C+sDn8GR6+TJyU2+5OZR2tJwGSE2Vw7gVpYL3d+64LyAE8FruXHD7VpW1gcf3zDSG7yR2kE+HSBtGbPkrYuEYCMb82QNC659GP3ifLAS83ssVrP5W7l9+YuEWybkBjf2SusAJw0of8bCJ65Ww/bPjWbYFyfHYXrmAC7kALTmYV022wRyyWXR9NJXyk/Nq6aLZuHA3hvXJMPYsjrj9aJy2ojJUFWlQDZow0lsuk3QLa1I2P7jxhTGAfvMfNUvK5B0fvgvsQAcvNahRH19VTye3Oq+zN/TKG3h7B6sz9DrB9wYeA2YaOq0ac30h8HINYLdg+7TokFsV4Z6YDAKaEzQKC6p0HgpMAGIMKl0aJQNObpzdiUVDeRPEYkMVfcw8GmexPhdxQicBgVJcrLVlm7y2pGNg9EHCjs0JMVjvUDDYvT6d88C78oSlAMoN1/l6PXs4Hrz9ZQMwI8P0AiVR5GkcKSNZy1pIgahuHwwU5a0VrTWxQd9jEw33qJgfELetIAH+uIBhg1/1iW50t/JaeP/CByiCQxWGNWXnLpoWnKOiM83KyFgb346OisJ448t33UbBuGjol3/vcyAi/kxKn/RO5RWHtx/VuWOP6+L8PBR2Ykbny3W99S+uFh/YKBXsOC4W79wiEe18BKmfax752m9dkGNMZjlflu3CDKD4sfChBCZwf0oxLAiGW8/ph50cFr9JBHjDLpi2ILnwHxc3jzvmdyQptAfOBZ2IhJhsc5wgx2GCt5mp8dx3EYoFTpigUPwuZeQDmaoHi7aC8AKSd7WfKC5gAezvtwDgw1/rhyeIK5EAXX6JTVPVK5jsgNh7EG2E2GwaQ3aTZU8Jr3V8kWTyTvDGA36UZe6lxOCin2xjJaMnVxYtHfl2JbqcHFY1zsR3A90UTtuPUBwdCUUYIePGG1yf2EmCuhSiQDQ4QW92LiaXvmlE8Ga/oZALlTKfTwda2QyZCB8TKOxX4ptE3v0tM9bUSW9UBoCtPY5mubRDEldMvJb4DleHBJZKG2XNlOTybiRZz3q/hsniH6EqDChNoJhsvRw4cOvVhFdgb7AWZ2VAJajBq6gKcPwRsCm1A8xwA2htXmXMQ7mnYDDGqN92l7QuphAbCcLxLbyKcL8FN+N+GACnzMqB9skQApL6mXwyA9Qw2voqMvFNOAMxzGjAUzBMYOBll7Pse+9baqNZphNnBGNrcPwRcdjH4aYTRCTwaCreValsE7MBDy4a24DrqPY4toYb2uYicGIKGQlyd9yTSj7zp99vwVgputA68uLnT24CtyKrj/wQBq6oY9aJOX03QLOX9XF+rKS8K+FUStoN/ZmTAwPgBtLufGpAIM4q4PVDcPcUXKZuSLJodrQgPzglUGuPM24waxsSJPG3FSHFqZiZqG2hIDxh9qaleb5fPZW6tLDLLV/QR2VfXSv1T46FtvBZtam5gEdB3iVEXDrlKbSGXLqAz/KBWPWex6XpKu9rbhr7rc3f5BRDXLaK8qNV8VtDSVNY+79IvRnptNI5ahBVute71kC2JlTjQoAFFI0kNZirXOEOSWgxebIRI+GsAFeLlolvVI5IyY6rE16j0+qtQVQiIahXkMWk/ShT3p3/CZFXll2un0ysLbBMEGY+tPTm0cuYcWYSgFy3gg2RQd0sN3J2dHAQ0xJl3OGK9pPHNCFNuPBwSKkW7f18nyB2HyaApIzsnEFaq5czIm01ig+Be85xPHYvmWroIOW2EDJkyCP5R3qdWINlzk4wG4d1m78xzSone0PR+DSI3XggJgN5cS5e8JmqbnAjbehsqp+mKS6f6PJ0+n3/ClOKIv9SoiCod1mS5SlOw5RyN/AmFwoi+MMAzykMurTAS0BXqyxSWMk+guHuSL1w5OVI4GItZJlaG2xCD4sNHgfQw8kwvH5hSZe9SZOLmidGAdVJ9Wb+uuGY4EZqdDGJ96XSv6dTTIAlEqJKPhAACkkFqr4z1iK7/XiZvjRZYWJsOYRqWmOeRfyAxwiAJpGJcxsqV3cnJPnd/WUVkeG6svHJyyNEXiGA9lbE25bJuorVWGX/uS02sfzWYB0o0QGcOvCQCksECBpME7aN5zHzWNb4YpjNK+DgSSOQw80ASqJ4p4X/MOcylSEFyAafHxqg4Mk4i5h7h3r1/lb3MzLmAKGQHol9M6RXs5KorCu4dKACTQ6fWRAycnI9+KcwD85n9n7zzRFCtNhch5DHweRfWdF4a6PnB4CABwhGpDCIdb8wp+YQDzD1gQ6EvmSiU8x5qffGEwxGPT4Rvj8Bz09JvXoJtshBgbiYaGkpaMgxcCRverZvUNqMcd3xswLLpBIuMMIVllpPph/1q7rRr1zS6CkBuJhny5rRV4hNh4DZocctH5PrYCa0MRzwewPP6V3RsIGxvImyg25tkcXkt9fh4ZW5+JxklzHCLP2SrcphafQZ+jTVWhto9mQAzSjc1cjfH/tTrVSRZqsvoSwiz6khs8uxiYF4KrzMCvT7gUOG+051H3PgPHZnw1Pu6Q/9aGL4KixD1jZRKdzcsZchXmeTDH8rg5zCY7b8AXCwdLvhHy+qm8q8RYeuV7xealco5CbkdvjYS0OYQx9F9ZOHxc3L2iztguWn8/ftZdLlmR4lQw9VufSqck5OlowSuAXeq1M8Cm46txLLldmdRrZcZAEcJpYkTLni9iiRP93idjSv0VdsIaA9hPYOihGgpgTiLmU1R9O6URNuMwoS2jDpaujGuzOBW07GwMKyxVNmwBj4wTrNRd7FqHLgP21ICGi2MSfRY3Xt56ndopyV2WspMz/pwyaeUnHZKZCVffixXvE7ha1glrJAGQb8hOW/cK6j3Hn4aD3QupeZyclmZ+L/RJfS2V2dM343jbVewFzCqVcEfL+vcs2/28ae3wSAZpFmovAe9PdtiEtvjgf3NHvFxl8p0AW+VHP4Rgm9v6o6LPUWim0rgM8HvYhUz/YUtDWspUgYsuikCmUmEkj49rckZ6mJLQ8F7xphpMm4VOasIVsHO+KSAeyaQ8CuntM9UWq4bV1VGToQNdobd4e6UqAJajSmTBNkCfLNsRT4eRfEHGUEP4bWEF+bWTQIY1FxEP+7oB7dhsQNl0mjzMYluK/KYyCH+JVWisKEOtfI2ff1YkDeRkqCUcMjB5OckNOaCcm6Z2TRHBYQVFLEyFO3lZ9xXyD0Piu5nX5L7m0Nfto1fKf4HXMAnRbnlyW6Lojx/HuJRMcnkynmQGZPHmc3QsR90oMYf99c1aG+3+OaKHI9jnPgbtX8hu/oN2oE7WzidbFYnh+2/qazAG9AxLsPSAch4VxhcFaRBK2pgmVVnDPRfCYoDpavNiNLsXMhyPm1Wyi2AfO+R2wdliuBiAaUsAEghBgNMTsdD8XdsQrMLw15h5zn492OyDuZc+jcMMQORSNbCQDt+TX6EV/CkEhgRDZU4pYmr3cV97YDUNMZCxrw9Pb+8LnHDv6kSD6xztocThfIv+xSOQNJhD8ZvK4zG4ZCSEzRaJRGHT9H/lcLRvl+hqLqtcNz3HYXBNDek4ARuvDgiIQNvb8D1mzPefBkH8DyH78rxIMI4SKvMWg5uPLyRMfhBB4QgoBGCYQjYuPXpQ8WZd8KQEfQ4ORB/8snjayu1Hz5ctjL04EHAc6UIXpEg6Pw0z1+YjKmYAMx4wtgHpueJ/qaz19DzHlXRu+hEPk36L4ezStICRBx9VP/3zbQL5jrL7XBwSN6x+XbwXEPhr1T1o0cPNV559S3t91LBw1P6Ch/Cu7F/SPGiNwA5Qh/t4X+4feh1ZPrzN7wW0pP6HhgBUidLb6GCd4I/3HpF+DktMGGRuVNW3cDnnlzIYcB0ZojJHWEKP5ArcoGrtzwCACgEC5c9e6WF5vklz5WGkLYA4MVbM78AwKuve3N0y/4bwvbzCoCFAwL/2Lr04sb1EpDS/8wr3/BLaaWymhPP/27ZG/7osDHNHMji8HHy0yzaP9nNb1mUyrFBc2/Ha7Mp+Nwcba6zLIvhHD7FUpLNpz4fZfsJ+je3/gUa4Op0aXYjSDP9Zu/rgmZWtnMkY7Vp8/Pv1o5bbeLJFILWLw+OKB3EG1EgPzQiG5qKc5Oz8zTnBt/VRtNo7L/aljSrudmu8GDbS3n3b5xWZK3CA/TWD1O38YrMGfVTOFlmYHHWNGQwno8Dmbr7r8NhkH7K+SveFpjPWM+yjt3LEu/zP90/759ObeMnxSsxVz5vm76NbNr9/N+aD2J/gvY8T7TF2fFEKSLuiBb5imkg6nm9lG+XmIqcwybFUsdTz8GM+icJxiz2jKYW16oxvMzrsFZuQW4dsEJuFqyS1wPMDeOCWqiTpxp0gsLX49KbOm5mFaXqXlatzrKnU3c2eZvy7XouvZZ+X6r1elb9sv/i/DqVSQfm5AcJO7oOfFWvCmfYV8iPpvJStk/YH/rBaGgLQ2EvGAZdFB8Nh8A8qIFDlYAQ6AC9F5+dJuNywMxfxqqtXx4o/WMZO0vfGPUniEXybHQ7metlmxWeWiVL05/Zgr1Sn1zTpQv373cH9FsAHR04j8wJcIaPp3yH1uf8ZtPAL1F6+WKK51A0M6d4Z8mnU3kPFfzLpGqbjVzTK15JxjRj8AKmi4+GlnP2AjjTECjkmA3uaKWVpiyXzp7TOAlaW3onHz8y1iF2psIc1HKYq0XO4bQzL+8OFz6Vv7NN1zIt1U4tdazb2yTwDVnPOlMuI8i6F3JvS/6TzLF9mfbg+etjQbMv/37LvowgnljFhvMf5PfhNmRGzafJo7n0jJZakt/4Mu5A+uq2AMyhBvpBf2gHg6DZAFvgDt4Bt8PhGLHXs/mVhurktvf7fiHJOm7uXAUE0EaH8c8bOepy6liPQCve0Lpmjm2Ia2VtmDhtG5HoUxul1dzGUFnUxuol6S5i3iwjiFAIaBOAkD4UOvhUxHLxRGOMkmm0CIX9fY40TLZBckfzDVXY8UfHsQr4c5HHDJpbPas85lYKvZEhF4g61x0UyxfU0lEKEXOFwtBIR4WcnyOaPOkkUa5iE4x0xwbKrV2IDtPj1Tw5c41SboTF1U2+uvGhzib59q6nWHFihejJUz8xlxsNmsljpxjPlrqrpBe1/gvMzQFOLZ4/zxkuV7YWYIJM2C0XaNROvmFN5gRZnGVLPOoiSKZFyZzdoQKhEp6sgMuPhAZ29XnpVubu6zHaCNAggihiYB4bPbSzKwdynXfRJRoOHMuFy6646hqn8sCZS/ngGhEJkBDcoiAxkkAe9+gYmFhdd0O+W+bbYScPH3ny5sM3drfdMdTd6phG3+sdpzKFVh4+wYsrytoF52TZLlszWznseVWtJMMekxWS9CsXpiOrIkSJdi9rygpNNClVE8RUwcPFiqPx1TCM6kvIUCfjjskSK166zqaYZrqpGs3Qz6d6nH4qDZKUrZmKzDbLYEMkS/HBIakVMp2Zp2DDjDDScKON0iDcWGmWHifSLlX15lNcmaNLEFfUFIuIVtX0A52QlFKqTLmKVllNQY9+nVFBk/pLJkjLyKqp3eGWWZ+yBo2aNGvRqs0447Xr0KnLBN16TDTJZFNM1atPv2kGTDdohpmGzDLbHHMNm2e+2Yo7UkXJrbQSpcqUq1CpSrWaSLXmqEtGwpSZrai1LDU5pYIIS65vK8xL2qp22yOQgFCaDH1onXam/lO6vyIYVPtpK4PP6j+zlcrVqFarpAUWlq6tRRZX6ihO9ZWpb4mlllme2GdfHKBmwdxCmdYJwG2FlVZZbY0GjZqsta46Qea474kHHnraehtsPHExQdi1SrWkyrGebUhxXKnhKuxKRYtB88Yv2Z6mq+grvDN6D+5h+CurVzpleqwh8cmvGck3Sx1ek8BK4TtWmPb7nrLfe+Y9o7MN66hs523aYrmhhMhr55tIXIAeQ38zfR0Ufcw6byJskN51Om6zoY78Oefj0WujIbtICDO3HOXxVH79u5YYDPk31qrk8m7n6Xn8U0PinZxvd2Ujwuy1x9fLUe5YH7UWBeeEM56379OvS2/hU9SlN3qjT6xL76vD8aH7sH2gj6vTrnci2fCUznyVSYm88aso/8YasBCow4Iu9LK8bC/Hy2U95vVRyMJItLIE8j2WW++wbkFxeE8+GMoZ9k/QUx7z1yS5kVJM84wsCl1wdEeatz7ar0iOlTR2I/atb0NsPzD7auRgS6qRjAjbWFhXHdVRPTnIQXVUT/XEEkKQIYxxF7wntLAirCnTWGCNKUhjYC1kWAuDsMZQMBHWjzg/oSp20YYwBGCNgQUGBgIWArAWgIGBhbB+xAQKAScIGAKwxsACAwMBCwFYC8DAEISEjNsiVnFtQq7GfC0B0KJ5QNLcA9Tv7x9HjanfrtvpdodqFbb130pZOegzt0NbOLv4b2ZiRWBoXztrw3cwy2Q7yEtYBXkV5yQ9gjpBxiUc3Tto6l97eRyWF/27reiG0566aHbJUeJ+DZiLLNPGW7m4zj3eFSEWhFgQIHx5TQvRlRUkJYoakp3cKA59mHQ/1oUvL1jhfdfv1s8BzX+6Mo/NAQ==)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Cormorant Garamond";
+ font-style: normal;
+ font-weight: 700;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Creepster";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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uZ8KJIaODzZvc+QwTJEu9rMA8yQrZbscd/zpIhn4nca7ArKNlpwEF3gkfV1CI4PWbtJYTGn1bMQ3XWrVBhjZlNeMlDr04pkweraCdLMstN7nzM4IReuc1QBh2OoAzA+XY1KhE7N789eMHreGxEcUPWfaOWwOPSZTRvNyd2uIXPLs8zwTb+7nk8fqqQhUh5fBeAGcD5wVxLK6ZZyz5WRZQ2jlyyTsSwx8qfKOM4RT47YJB1Q9EytMbW2QyW2+oyOk/Kr5uSJIS0KPd7lm/Jk2gKJrWf0LrxTTPLVaFQSEjSV257qrVrAQGq7Ky8Y9uU0FNki1W6mYZWy636C5X1vyAeDaRjFnXOmpPFY3/6zy7twgfr8LeJJTBgDFGS/+qiLOTzAi938ZWJukGoBqJdwAK4BATfbG1IyPTOlGLjqOJUP8ICdRKCGcB0jnBTJDfCTawTEgXVYxtoMybR1qHkbB9ewub9dPS2D3ppVtyydrq2fjAvcPO5BgFo+LAs1ielc1Vxr50rEGtMYWKbNMs/ypZcWWmjRjqhzkJieOfGnbdh+yRiMZnmZq1wI0V7V2qByu73mAmTbjScSZEThdv+PIDIqY2zhBawZnJ/hmEd4Rnd1AdW3V4lbOThbS85RvRdhfPMn/GEfetmV20rXHtP4DMmyiq928wzZrQlVUNdFRbU1gBWXpLMqL4i0BZHZoypHCIZmGRQvJXm+35iuQ9SNWXr/de7SPw37F/NMu0pzw58iKkIELPNWe9Lq7JR5CJxrzjU8eJgagVFfShZUybLdfXWWnTmPcp3TC/0H8ILcpBn6kMbXPk0mx8lziJ6DtLFBYMRxGMQ+4hwzpvt01O1bCAZ5Jq5ZHabLhQVFkU5c2jKXvJNzEaIqHtYom+I0TCCWVmu3DjPqh3KmjfjWAQHV2+HniN6y0DzcDHRMz2Kpmu1btlyz8V3Vvp+CkhwxII6WLxp7uEijLsyqs2wa37uTJnF+xVCrl1LayCY010Vi469a1fzw9uCS2A4ckwQUJ5mOY+arWx+lRuz43Y75mc3ZOBIinY7n3WPK7q5aDfHJwZx7AMNPlloFQO909hRyGSl4V/Mhfvb7rQ2AeT0T2/UDIyiTIrGFUDJyrY58M+qmGDbYPFR2ngrThhAX3JDGt1JFkg9gmTqte7UZhj3hoDSVGK9mDgJPheq9ME1yUclwbIhMmpVS6OsGlRCzw3hgh0sbD1xMLZdj5Ou9lBouSEffQ/N0IYuKZOz67EVM2y3Auju69tb6ipzrfgRvn4XIc2g+W8/BRicw7msfHyOLbtOgxn364nWer7J9TjvE3pHI6ALVQjuNOttWg2A46C86MFiiGqB9eJnT3VvrqlnXl9mSadFsK47onTEsP7LaQG9IFPM44ysxILYQghjpUn3ruve2mU/n7CGPjIa23mpINrO22HGg8rY4WHfbuvMIDmSCz6kzlnV9mXft/0PNudCH7XbbbovWqkHuai1mm1xGxq7cJ0S0bosDD4WgPoNmWZm1rLXePEu3d5/7+XREH6jNYEy96spJh9jsm94R4/0j3Nz/5HSarrolK7FqjVlrJooFHIkPPyYCAAKJ+KBISCNq3V07RQYzO2MNJoORY9nymuYflUxzeGzAP2wNLnSsbztLStk9xE1saBXyEKvLiHdHmAOwVupQJMbRqoeHFcXB2E9xsr5cfjm1SZ0bhdyKOl4l54210toj9TGqDEuucmMpzcPxKiGKt7hUp9Ds+OS0mQcso8RM8W35oCx/cCGycw4ajNzFAVGXadNTcnPbbe2TklKquVoZa3AobJ8UyemrmWHzucCj4XiirN1JklfaFWW91EQrU4QqQsmBwhIZR5v5NAiuu06HN2eeAff0yN3Pc2LJIprvnTy0WcZkek8GaZYN4kFSg1gmIdIohxDGrs7m9NYkjcpKpaC9Sum/m+nZjUEFF4u8OK0s6KluUNGHKXHjVC7j3PK7W7bMZKjqWmlv/Yd1HINlpmS6RbOZtVLmsLbrtY4nE+LkMaCYPHqInbbNBkTqFujbq+227d4XDoZ/vLGXHHxplDXzu/28NdPWU26j09PPHhcHcLROLYvVLWntlKpwjROIKuyBLSC5m1PRm+aQNrQNhmEgdDqkGWNMiGF9AeP7sBAfXP4QGJH6XrdD/0rHMMU5KgAaIlJtn9SAfqU3PpF96/scVFUta7u9c1XPmttUb/j7/tl+paLpZ8Z0neE8UX0iJVqP0VpLjnvKmxRYSYKTzxzQTHbFzttbX2YJkWLy9UL057VA1W6LCee4OU+GhDfdJjlWsio+mwOJVJu+d73H0AHZV3Z5H2wmkCDGFRNKYXnexxjFRH255WBGnNdCCwRYrDGjOWsMGeWPWVW2X5LKxamGLd//n2w7YQIinZ3JGQB+WJVJXjyF7as23V0OnKNtAetaTndcRXR86E8nV8Fkw7e8Wt61ap1H1rmmPzniwZ/5/UAXz3nbfHiSkG+bfH7EdNaozU/3PGlWNo76XN5yM8Xz43lDzq3uh5qOKX2YuqQsrQGQXoVnXHz6tZ6GkrMC0SSTZWwklH/eTx5A9fVkRkBJmm41lXF8Xx1Xmst4uWUyVC4ksXV1IIlsWLtQP4KzWkw9RfFy0bYweficArJKN/wFcaA26O1W85GzahlGOmF63TF/xQCAdF8aJK2la98+/ML6LLlFENMWSUKG97e7PFCkbIkEZ2OLVIj4cQF7w+l03qyodltzAMsCylAQuzFSgqNf+7fZL2SFEADc5+BLoftI65eZdNdYmWeWVXKydsmO+QXn03Ev0KfTFJC21lA8PUJk+OkMok6GpDLNe9bs5gKPPnI/0S5GBAFJI37rM817ajjqNjttPq3ZetW8Sh5Fmra3TjqyR5//9HGOWFuNk2M3RNdmg6/exU3GOpPP7Lu1t1e0uwodgyGfth1xlLSH35ALR0/WFWW3daGsgkEzKhoswIBtuJ8UicnVBSgIALm1dJ44x5fh8NSSc/nckDlb8fLqxSX0aVVfTb+O6W65WFHlCX3gB7vkI4UJuqMlp3dkNlaOSg1i8p5lw7p5iWoat+t9mWW1U/rgy1iIrI4x2K2mrdiad/+V1N3NZ6FtsWU0v39+66fPvY/cdF0h6K3F4b1AiNyMZpqbNDimW973acAG9+WtDl7nk77OWowJ9bEjHqWU+Fw7cSImIvxJtDE1D7DmwzDcx1vf7zzZYYZKsXzfO6vCFxSvqtETia5GYgQbd4KEZzKFiHvPFKSvq3rhob8YvjVast1SdyubIxU1TKiD9JQCl6eaioz9bjcxv3KmF1FzkAbTtg48ZXj9cB+ZqR1X5kXN5CxLVrl85niyA7XpQ5qysSw5Jt2BNRljdJ+yx+l4vNwVLPunRi12IKUAFBQoGTlrOgfQOUinzSYiWUcrv/ZzGGk8/OxGCGLHkXFykvb+7OFPTOxMakKrWBQLozq9UmVxOQgKmaO+LTPVE/wTAJBiQil721INGtuzIJwrs5JJJ1AakWzo7F7f2dMFtcYm7Taa6Sku0iQLThF4i+usOjWwjB48DZYgMPToYpUhs9QGy/iQ0y0ys5uzNb74sduaJdWqVnr9iq4kFbpFpJU+o2zPkCYt4p3Drkyf7zAHl9vmfkCQtC7SZpnOHnqZC1zAnCCUmZ4+64pn/s/XANNIZRSmk2rQro3WWVMUZkbTQG7Clg/u97qyiKDvTQ1/FvKnifoYs+TAhZ88XGziXX2rBBfvvOuvne6ti0T9jFLgpFfKXmdavTPZKGu2f7gCAM78yotkengzLOuWNS/w3julZ8y+FnWra/OqpebPoo5pXQghTEYO4Mq2pZXgxNbQ5xrLsRhKTqCtIZWytrwxNG1s+l2Z+9b1vVMyz9gYvdQwDh0Mw/KofPQJEUCocUHUJm5hQJWLqPJRY/ovOLQxCBAojBNdwaBX8Hz1cHG6nHCO8GIH/Fb6kf1qzQymGuZ4zBome5B8k8hdNW533rJsyd5+9/mP8jihd+LIP2fp4p+2v3gm/LyA3i2ZLih9nw4SzvW9De3VY9plANSNyaxDyIt53rF+kkTbZ3smTyBQ3MyBq946Z+evfWxruwthMRk920suDcMmpY24ehz8REtD6jqorNVUBO6E6jFGYxlXCyy/JLuf0zM9WVfZmZXSNflfYBwD+nklrZULA3hdLaqk2dl+T5r/ROUyvIAiyatCGNBBYUG7cAASEU40y5vq3/oyZ3IkWO7u+nNfZqv7NZOsjTmPGvqvf2pKAmV2ltGFQW6m0w0HSEkmqmUykKPZt848t8aIs4twtEMpyTs60K++FIpiGEvry30um2WMyH3IstKuwHmelLbFdJCZJoBv1NT/F9dXs31HkaV4pwyEQJwqY+r2RnCdgWWW/3Xw6RbknUsFhfbqMPa1QNmHWGqVR+/LPJFlSMSC6DGsF9FdT1LR8fy4J3MrSsl0Zrl6FEdgb0iJYq+7ulqlApvVrFSbKm0GgT2Ne+MCxryDmF/h5IBD0C52yxBJyJ1x31uLVUuLdHbMpvjPO8GZKDJPjkPy5inT7Y0xiE0BX7rv5uOfxDfWssfzq6xS4c2tjqUB4QMU9zQC8bahVcU9oXgHrBvkDCSedlI3iFRSTkXgBlGSFeV4erEvpL5KOZCXHNkG+J684z9cJK1sChrb0groX+McbEKmWoJpfbRmRfYs5KxhcsQttxviURrcuzwryUQ9Gw3XvK55t+qW+XXxcgCvlNOU/I5lZ4gEVTTQnQkaLCX1pEjcoMjaZXAjq7KGvctSjgwsHfMWdz2wJlOmry2DqjRVWp57fLWet3jWtbLItEAcZp1Ic51T0kF/K+WsAUluCldBkRkOaMcQEDqrGnD12JRIBaEIpqskXX+P8/WG1zUP9+GvzTal3z24PwuOn6lWSsFoCFnn996XPsvS1O/r1hViJTQEwxrZ7UoBwgxyVmd9ug6h1CnVWFby72AM4MZTe8FR/Gr2jBBP4jniodGan7lihXzlTqdUkjrgdrmEFDCNlDVn9CRYxYSQvKMas+kb0jqwKCNRglRR4sE/3DU2GwjN3M6DEKbdAnxyChFe5saNiLl1BHc5FzVIjeKzgesJqDmIfL7wFBbtQcY6AMokbMIwmqaRwudQkaN0Bv1keUzJZrFUDIjgGt7odRpPiCd/UgLaXH8n6tuKtpjHj3HhyFumBdhdFcK9yvzNB0ZjVobNpZYkO/p6DT2VDkhZqGUTyh6By40OTtaVjlARtauOapZU5yIO28EZuk05sTQ9XI8XG4EZOXmVy+SO/MXQEqSNICOOVVVYDaSUX6rj62Png7EriBP0KTjYjpn79j1EWSDUEYYPZ4MUeqfNXgcJoHLJCAzosrkhRmZW2Dk2PJHTcjy7koco3XwSy4SNVJ5zJ0xV4sk55181GS1L7PSRBQMSGEWWzUJCCy6ucXBc2SEFENt1pw9SLo5bFynOftXn6FPk5OAYoJeGG50mkOFUZllryG+lhaeP+iGovi02QeWBR0bOrqetsMtkm+RLa+OUUzpIjnQO1tc57tkdTXgv5jSoXLai39wUBU8qB2TTrII7uPkbRMx7RaA//Ql9oDl8rVkoAjF7LANX/X1gS+vUQHTjqfpneD+t5eKqinYrqJjv3UJqbzJnNSlw42EcIg//BaLiZJRZv7HpxNV4ZaHub3ixF0oNexYHl6bmoPgbgi4g7G31UyJ6x3RMt88w1zTlDEk+7bP7EF14Giwv9/5bjzXtEIDcX7CQn88QhYYD0GnOHAqKUE9mTyaqv1cxx9RIDZumZRNIBXz38H85yLKdzdbsM3GSnLUxu4Tn205+b0sXjymdfopO93rNBeF7Ujga0/dirBKUEK5BCIVuUPXqYd/xOlh2pVqlt26tezHfUXz73boMcuBQ4BU+0MaUS4c9wXCPJQks9KPEYzX+7pR/tuzrOHNMR0Zw61qI5HufFe/Pyo1Sm8EJYdC0AepWXOB1JevIQk7vO0aNIFkYxiDDQl8v0tvk2T53kOcTmSFiU/EIqMhhRXHkJfsCn0OwrK757y+7/9V6AzFvt6JmBfxqBCARt+0St+OGb1tHhrSoW9U8LOT0VY+o9bidc/yoddZrG4Y0HyFWXltE5dtPu9ry4iCxyjHEQCg5fI2D25WDGkRKhLYdH3jk8syZCOsl8SU0g2EWtQ4gNil7GIenz3Bw3rRXyITQZtvx4II2OJud1pSGjDQHbgK2M7LVjuzmlLoO3n5FRtMccCNfA3AZNVeI2INx9HIhpnp7hcNAF5RZZqSZhUGaGflBQ1sS/GhSBWlJvG0k60ch9T+FqacdOyqUoVvMbYTN37pFmRzSJgKbRa6bbJ93MQgoKetDrQhUJKDf/ulYApTfZDGtFThU86RGkTXY6OQ4fxe573yfz6Wk0As/T6dWIdSk3SYeaEMcpruYmp+A21ABNwpas3yxjsP+y9eCmzM0sSvOktn3rnHWekduOK0DG626XpIdc1TK7b9fb/HFKXZ5cmGDGFISyauJMabKcN+2ZGCpVuaOLGRvDLGev9x/z3Se95trX5nseQqIrtu2mNCdZVCVKQ4Rf2UqSqzFFeGy+j4Gw/Eycr8b9xchO6wYJIhvbwuEEQA+EBh6OIB4eaALTmpU8GIcYmz+DlujWzaNMphKd1R1fcOCkfzhnbHytsaCjEiO6VoI8U/sdsmoqWFD7BHQICpgWm8hCTdFCFFcGLFCZT6zXLkOaoLkB66Aqo85zYfY3BJ+pRuKK+Wb53i43xt9eAlz7hKQmKP280GggmxastMkWbXazXNhKlH/xB7iueYVHiLqnI8vw9jSQvwa0SOs+Zk6U+fYkZIq/CjZd7SOkYl6yJ8lPrjo3ezc2L8vt5PqeEryJjemq3ltzu3hTCvz9qh9Z3awcmqOcYyhhs5MN8zIYhB5PMC1JxHR3/oYZG2zg4vbWC1hal4Cq6xj32+o3J8GCsw0K7CXEGO3NeLrVZWEUe06BQyK3tUUKirhydVZbtk+36lrLp08DUNG+NcQYknaNNpeNJttaTXvMRSAZLAvZLuItGoIifBWHBygIOPJqvrfYFGC5Q2qlECIDvB1tYM+zRHjzJHZgLjDG9xG3fFQGrt0l6Uadj2pRqReeuKb3I35llouKg99Tx6sVcy5c0CPhYStxdfQZc5QlmIrNRganXRz9oPAXWVaVP+GMyhS8jdP8T5SKaQk+PHVomgYAE4AQaS4tGiU3meVlHz97Zgqt+5YkXhy7ss4aayTWT0HFBXiDq8lM+oK5spusel6metjV8mkLbekp9odpm1RhesR5rTCrEV7zqIEOmd1WKZVG40EXAqK3N9fHTj5XWh/By806pEeuhH+66nilkRioOmZCp/Lr6MANBF5OFaWystdE00S/6JZyP0l8NrHuaQmm7h5DP+Xf1S8lNIm4wd60svlxoezF2cBoM8CCtnjayTHcM8elEXmh/sovZJ9tXKmr+hY6iuLo8lCqt/sK/7yDDN+hz0FetC88rBqbQqpaw0v+GrdLSIB6XFmYyEfh5agaOHamMkcuYFyVghR1bJqJlo/DpcpwNOLUBow7qO0TVDdcvLbh9bZRq3SDS8kAsAgWMvZTjC8MdhXuSWxzezXVhuYoZBIrGti2ZuFW+bA5LeIlkZySI+PZmsMORmy+iHUf/Klj9eOZ6qMYfilJVMvZya7Q335f9KRVrTR11xZsPRnjxI+FFvMtZ0ZVYTp9y759i4Y8hhI7+bZy6T6y91D2GMQ69LjPZ8q2WwRoA2aJXRuLrIUbtIamzR0DNH0papawQhcBR/V0ruZLkpzTvavnNqktJqealPuYfwQ/XF/6+A/2JzjajbLvFKx3F/m833XzwU5Y0ePqQWpC8aKGoiVZXsgLbfBYG3EHovyroitOdl/uNtuHM8cp345ECB63a4QRzM5YkDF9KXuM9qrDeDjzaEQAw3nBJ5MEMWFa4NRp3hmphVfXCU5tC/SrF0u/3qTjZRL/dcx7PoDIdM3K8T86YJQ7dV0WnhcFVfCdFt3d5cjoFCyik8VJvVfBZH1tEC5tSh4KpCg+FNl20pBzQXemVBRE1qJcJZtvDAHCm7Q08Cg6rc3Q9YMTs9MNiJPq/rUGMfm8fGiOaCvALun0fhiPwxrRhVS7Z2Kk99KCirRDfNUBf9mtsaACLGis2Aj2xxcFVIKb7ZFUrwPChoW3cPTn+0iTfVUy4Ef10//dPMwQnWT059YG7SmL13Vl7nJM77b966hrKC+GZvnTYER9z1u+HwcCfx5AZV/z+16rNShkF9Zrw2WWTv/Tr9SD8Kz2Rsqb21PRtpJA6MUATw2dhEkzwnhGPWrlwYB+M5y1NFqc/sJJ1XfmbngTwN/2K/jaqjGNWRDKAC3UIvqMhC12fDPzJfy962X54sN0mZ4OGAD3DhIPvx3jAypqNAJW/RDVpIQZvWDCaSaiMUkKau+do0uceHxVDRSG9cmPrO0ZCcKHyC9vjpMDw7c7Z5USUbgOBoDdIVk6aNxUt2qYji2+/6dPL6jWkUEnyqyyA5vaXogj/BipYxPTu6CatiV3odmh6yWn+LxStSrVX3rzraIuFv8AWtvNPribM0IF5WUgozlxYCTw3106t/wnGi1rrfY/il2D0EHALic/KVVHuuWy6Q25iFscohIZrAZFavJx7xfMTTjeelJmDXpGcVquZuc1jn0Mv+lT1OJnCvEpvCJrJcqqB6aPgFgbzdAG4b8wDlbpkKugVLHyxigMrornq8P9LSsPRkQl1y5q6dAr/f5sskUS2NarHhrIJvU3H6P9iIY1hIbIVgpG4X2g0m5HDVstHs897W4wRNsArG0grxy1ZHl1ODtmB7IAMe0bVaZ9kCV2K6hZFMXQK80/UKrq4jKvT5vs7TTym4S1Wx7AC3ecZf9O/SUElDq/XQMlU8wrRzdCubJy//vBvq8mbUGaTzOmc6WliLWX2axcGtPUbAOa6QknpULnY65tS6q8NpCX9/fbiISxWU/bhfPwBSfhTA2rraxuHM0hNSqquCM7x8dzf9yEQi+bQpV8olJUpRJBpd6cg/gbzvFZHu+P98Rex/qTUbFulOpUc5Jdr6iyL5eLU0XgojrFERj6S1Ygtm0g4EekOnCCzNSUHKXPAV6wmGxrTAOEa2nx9ned0w/K5pcrRoe+LtR5CEgStEb9x77VsCXlD+qW5YuoklbUY5ewWVN6A9/5RcrqF0tPftj4+I6Wb3XBAHS5O9sEX0lRs30LlwT+cXuA99fEqEhOtk4EUJOo9euX1nuN7HajvpWT2+1W55fnWXhFj8b4ygRtz8MdOog5loggZP6i2RuIT+lIUQAHTsN0FHeOu88HcNez6HLa2u033ouHAPPCRTuqMugNh0bT3rLCe6zTxOvNMg29Crb29T0Yqa8/Kb/yeP8dlR9u8ctDndr6H/FpgAWhPFJ23yWUGVOiLDdVuLzslrAcGtbTyBUXravLEo65rHksjU9MvSjC8F8Aplu/bblhelcCg6Yf/xsp/EtN7afHpLyZ6peURJ6NQJLvpBgsqwoFO2DDihbaN3lsr09w4K02d66kLrr/U8fasyq3xkPYRGnzh7oFkT+GWpdd/i/ZnKLBVkW7fGoWWpIfF1z9svBZkenW6TscKtrit5t3txhz+n5+fLfU23lLa/k/yWm3o+iNOT6+18cmMxVV1mI0BS4cuUPR4YDs68ACHNkGQZv3LkVtKw3Yk5jiljR9WYVTiJ5WmJaKUFD7Odo29aS4QlOl4CvNe4JBMzns44liyC99X44ggc043sFOqixP9ivc0VyZEixgenfN+aWOuL6rdjsFFXYKbMBhDwqCYD/ctG9bfSJxkPY0esM0MTwckPQ15UiKPJLxDOSojqegUbitxDpRm7SpJml7a9M0pcKw31zAkvxKR/z46JXrNDsH9NCTaMd0eP0VTwSTQwkXwUZeRj9Re/GEtyfOhjA0XSusTGJhcpxp0IzfAvtYh5o0ut7428D2ALY+CAPSWX2h4ritMtFvgZmXobrbL2rKh1z8owifWxh5mTOJMwqrXNnDin0Mja5/niw94QvLTA42CLrICsXKvFR61FTjCEC4yh9Ixvv8DPJlM28f9MjTwB/n4KY4QCv5sdUv3kfp9WLTer9/LUU20/J9nsrkJZ3TNEmKtcDBRZ9NOMxDhTbyxUckNkYV4Ysq3KGwap4Y0j+HIrNrm9AZz0IEJ6/xIapTfF4IG7d/PVWO6bfJPvYTbbgu3r9bHtne9u3+sGpXLAe224lEhKz0zrRBVo+l5pGufrPbNx5t23dRwF+QJYkEvdkK+kKNXDIYqTno/1CJBweLprPzgQ+1K+EE5tBLJQdtmgkv4UXXw51i0ZBGP7TVqvpTWUQDhhiGB2/fHJLLr/1LGIEtQPpP9I9X7Mkex4vvgXL68G4WDs4wZnHa4U70HqWMmBtKrycwQiR2g8j9FlsHox5GAGKLlwSbu8dZ7gz29p10GffNNWysSQhAOIikRA4FMDZCAj2Pxmv57vzirgU5UL8TWeS5bGZTBymSHVBPKrsI5Fx5HwI4GBx8XwIqWeV19VG7tj+hoQvxwCD19zt5wwUn1IfY9rsx7YfuAB6/CL2FZUP/BcWfybhwxzmxJ4N7ltqoq23JBC8RxMGZ07x8Bpg5JH1adttsQuH+is58BzHDpd1dluZ2n9NM1Og7Y3qG/JUtfcD9W5uOxqtYaFpBlg971gjjqk37hrE/3jyLVgyFIH2OBTiuGxzrTuCvzyoMQoVr2XqW1aunjFEWxCUTMsaJAAbLtEQ/libYqko4o/HhAA7oenCp1rNGLH5yVfFr7CDxEyM/MA7KUrhDtKBNQSnwvFpUPrwnUz0Zat/PhkKZ1PgbFKTi2cmmYVijQGJAnHW8f+UBj6yOEX7k6uQGkz/U3Hxl3Q8Nb1P7/uw4gU5QpnYylnp1h31sdV+ViO/2y8N2aubWOG5czlEXVH40+/wdlL+BptUfpirp5+5cvFHnG1/fNlBpDJrHJvga2Du62RRhnoGBOYpRPvrqCxB+kSvDk2lv602s365evDTrUO1bqyOn9dXMgmVK72do/4QqI8KZs5T+U5XvOcPnf/dygjvtNmeMGB7stm/9zdO4pFCXdeWiFHv/oTxzY5vPAYAlVdglDebZCuCUkLRulM204VSIS/lTnDh8TQDhrnpmfQuwVlbAADsxIWCFDrfp0egN3/6mV7fWrhKmeq324XqunrWYIV+mMiR7gEan7vey9o5DYTR6VjuGFWaVtq8XrSyuhNgJ69A2oGUx7T4aMXYiKVHvMPyWNfXM7eTsKLtUsGlBOt5QEFYSxoOGW7afbFseTjjTeQNTDR22wdWrtkMgtS4xaampiAyX3/X16/MwlcDIQdXLly3LDL0pHfu6/MyGGd8Irz4kfIdzCbQ/ezjUiNYwK4gSOmbwRdLlOQJ/u87mzrxOpdiTKIw8O/CvvTXvcPa66RGo4rBmQhO3Ba1YMJLb1on5sk4HKNEORL8YnX+55kHZpL9PeHHWxahafwKHb/ATzrlUoUkVU6yGJUkKljSxHTGsCguJ2y+JoUj4B/dfCxLCGOWACeuuNRp2TVO4VraeIKE7hRNDoKk7MleYcFgUGodBvWUhbi7h3yHLbAXHL18bBP23i5hBJMOkaaIXv9ET5glJkheYhnMxPLkP4pr0ZUMf3ugm9O3UUwzirTrJO5FfaZx4IQuJtZw+FbLL8/sOw1FF1HWfTs9juoeyuBtccrQANkaSlRIEGYCYQZ9n+Nm1gu1UraHevBQ5Gv/KaZs1s7fwlpuvkrYbPX8Ysh7DuRR1G8Hu7B9KyML5okXzuRChJFe78OvMD8QHggP/FotYCHVWyl7+sfzdj0xAXY7KlFe6w+hM1eTtXYxHI/Ww4Ra+UxglP4W1cTVq2jOu+dQyc7itpoLSY4XFAnrbua86PO7+Tt0yYKBqU4KIokGU1n7N2/RPoz0iFj7DT7fNxC8OeYKjws4xKUeno5brOo2Ntbb/6ExVjFcxP2+iu0SThbYkAovDwyRT4WuFkigrfW6FrAb/cvHTRxJAuxvDkNoUMrZqbiFTSMpegc+tOdaTTX8t0VdBbD1NcytfzFmrg1VB7r3xZvaJjY4lyUh3eG3QSF5hsOsa6cDCazHA9PKuPql+Q3oYJJf8IVvq38idxU6lagZ87XAsroR9ItjhVC+0gdlRnBqpcCm5Att1E9nCKTE9vXPnA4UQsMjsFhf2xCkwqCb0D2h73IJRI4qAzpK90rtIPn1Vv86Je3imm6Y/TaR4EcKRp/b9az+SZzVqxwhGXNld1eXZSjpgjDt4ovUJj927uYkWbrFYFdvAfB2/gZP1VEbZlUaGU31Yy73cfzfj2L537fvzcF8L0l41NsnuJrrRVjvtlq5O2tveX5hCyHx0GBnw+egZmmeXLsnJlbk1TuaqEJ9LbE+2l5amo69qRhHNLVhgTbLVo8QUuhU86xTlSdytPp0iN6+D42xguGiOw2qSmDkMAJuovwqOgDbsEat1/LmmP+DU3Vodmry7V3szx7fc5ijA2n+jguS3H1VYVMpQK8VHH26Lk+e1yOM/OrCaP+2tCaUN34nDptX+DwhKWnVPeejfKLPts0inwTFxlTx1ydXp3nET6KzF5OTppzN+m647twZ+1IJh5OjOh4WB+tZ7P1/3ERZYykKlLfSD/E2985dKDS27mD9eqXMO5+6/YvQSLIzDoN2o1p7kuRRR3WrLdWOmh2zJlsqN4MHe46o5bnEbU23nhum2/eSY2j+dCjVg1l1Fe4tzpHWj866+rNuJJMrO/ENVgPdf/1pNOeYtjcB7bAoJ7caWTWHiLA0yeaIQV6ih6mXu383XIsoExk6lnZXN/c+ayryg7IepLNofBl8mUWJ/b4MLhWK9jDLN/6FlH/EleojT7Fi78Hc3EqK8TAgZpmX8Qa0HGlI4gqctAI6lg9V7+1K5bAs7v3ZlcEi7iMK35gcvSofnsLChYBbXQi62MAKzkWq4aFMdB3e3roEZHNgtvzMxfrxW90vjB49U3ypkTItywMeOX+a2ePtcdCxZ84LVsQ1l0EDNo74xe75mHU+xaMr6gOztr5TV+84ZpeLaJbYUtC/uVh0U20Y3vv1vx6cvSl61GgP05Cjquh9drvN/cuAyOnpTNuV9OX2rYHr3N6G0zrVqY4tdNdned5iwS9i7xZPfbSHjWUFrst94j3Fo6n11vF54XXMbyz7sxwBnd1vEU2Nz8mNG/9U6HS+6pnXLD/WfADpor3ixoveruJ76MP976ulfDh46WhIEY/ajgXGCsIo2ocribHvcfLlZ72OeK7Pthhku/334sadxpkvelvTFh0TLBonNeZCHncinW18nhgHVlsGb7/7vSUhmb/5t0vxrXOsE4ceJSXZeV87JNvB8PAQ7R4+pZSPWHDxu9Pc136OH1T2AexgJt7XPFx2uuzp5wcES3lS+K0nHhIsnKzFIg1WOGBguHupBIhOW6IavZlSMukx1iNs7ZfGk1LgC5OFEJNUUH4K3rYuxZy2ncQQXQhbbOwtq9iiAxCkK3OlIaVmDW+MEhOZVrmEEJFLcf4KC60NgDAYeeIf4y3DwfXa7EKAIfCl0k1KRfJbKx2QSFMkBvftYEL8zo3BYoJPvFOU2AN7bvi25KModfZY5lUYlaKxuzDtCM+DfjssseJrEYRJqrdPYutL61SrktYluQGfKO5tqAcwC1wW1dTDqHJTKzaIfEYrXEKgqyECzxd7E7BQvNhjBaRTxIrYT/0ntU1uCLrkeyB74e1dUBzUjWlOh/A8P2d6CHqORIcLTd6M66wX1BCvx/ln7MxjJSFPTknq7qGmBLn5DuhJKxbkyZeagG+OBDajnwvzsdxrSdwoKv+ag8EY5gErX2moB2W2OH2jIOfUSl0Rjp4o9XFUSmiWke857s7rmFyk5LQ/2tQ6OhW8VwyGUv3W7lxDZAyZKNR3DmNroYoyWrN2JVyLBCetL8IvOpzUuHN8d6GK410dlz3KtMJBdWQpSqh6dxZ4sS0Oj7PJWGEJgXNOXnptc5hZMwVrVrzAkaMlzjvmRuXBUAJGu23mnDlN4gbGESGSq1s5JsuOkeixveqlrTh0/cj4lWSWiUXd79vTU5qKcNCAHDh42ZBl8oBsJ8b4Wq3bxr+6ZUtQ1+M3tNAHlLjDwD8g1cZZKeBDJ3nM/lTwetbYbJcjpEv7jFXCfL4Q5rfWx3rmh67HKpHln9Vo5qd5ZuYfaSKaQR4EJC5gSBoMj00ZI7e+Q7WPqZxarHXuPIRZ6G4KnLx/58nbkWS1Rdlds7Dv9+oLJ0MvGiM5vrJYF7Ygz39NJEbvcJqxXxRBKrruRvQ9C78kLzU6OFx9DcPR+tb7rwt4vfiMrgDpbFdkOa0BK0U8WRTdmuPjAsLAgb82jnO/FZoOX7+DJxNb6cGWyQ6qbYtrZ/s9nJSibL55uWk8mBeKzt++26MMhQxahdkq6PY+OPzZkqQO5E5xmFB54qhIILUHHr/idX3WG7RAU7xWk8uY+dGR91lEf3e7gwGVc0oPilHtDex6giQn5LrvZLb6z1XoGGK+zBqHdYdoUMM+W2yNYAq24QuylWPHAnhrZGbz8xD2eR02oN62Z9rYwAJ3roW9XIJi7oaE6coZMIb1lTCKgyEMjdtMAxvERzuq2Ua3f++Hw7kXTC2c9c1DCtYOaweyL+eHVK6g6OyNDOFc7k5cWGoADLWCxDKyXh6dmoEBGt+8frR55FCqrtfJYkc0XsH25AagVyAD5Xo0w7ly8YEKE/Qo3rP+mqMdO5zAgCpwKbHyE0mpNpMvNk34y2AWO1BJOIRB6hoQk5EAB3t9FJAxapFPIcwPMFw/tNbMNdD1QU3t0NCu8nwUSgAo8JMfAKEzOx9boXfhnyA4WM3a7O39/crTsM8QTyhIETlgQGDk/DHXKz3UvdGuJT3HxBCHfP4c/mE+wYiLYa7SD2co0JqChD7vA2YTYRvskJfETH3pRjK6kYqw2OMLIrvSewAOGhpMQzgf6d+AiZt64t/WlUvhj4MWIiDBsTdgkRjMVolBQFPD/ymUA2eP/GxbR+9T9qR6nMf5dUF2nNe5CDbPJxjGWlYbwg6wYvJZNv8TKXA+J6+baG5ijiW29W3q0m8qh1gAEFJYcJr8EEAH9v67ygS86v0V7NLBc596YAvDx1ff/abESUQ7x/SzvaTfA0cUiTvi7R5L4RSvY5EnrgtUVp+zFzonGAhtzbI93uAqPAkPkKHeqvu7EBeELORC2Gq79W+q8vjOXimJv4IGUjUuASDXRaN2HkNAA2bHLOjR4QbZn27UXcgjVo8buUvLmCQMnmthFErFRomqJFKBESciyrLvx8WEswGfP8njptUqnN9PlnjYWS4OILAml0Ntum/Aqb9RR+VPrddu0NNzlYlgjsyTSzc7g6sVVKw8B7mDjgbbRvSS15xy21OLD6xUxvEJbMa5xDCiIJWLB0s5bouAbF8F/dnN71cZsyDKSMiO/X/j0HdsG90LtAiERphS3r7LKIjmem3PhyY+Fe0IGunCRqbTzm6uk8xkE4X6bIzRvtMlvprhlI6uL4PYVjiW2MMjEDF78y1PpE/HQ/WRRul8BQODpltcYJHe65H8i1ML0g8eXUkkmhMpQOdmP3MgiCi6BZMWOm3aDTXng6BIyhjZp724USWPYKw9aSt3sQhena9NfNR2KRCiJ74Bo+EgYR6Ojoc1VzBBOmlbR03hUebq1nw1B3hRAskkixEulLBghC3YC+M+I0HG8qlgK6S3luRy/HirLr+l9XeZSTgdFIWoQ6iMbhza6nvAKX1ZR+6R48l6z7bb9bR4XFfh3M5e9NpnusyXV70miaSKdzI20ApIdblPmRskwGnHuebEXFqNADMYgCQ8Y2MI2/TNI4J1SCbERlK6ncilMz5vU1lrzod1y8wJiqLJ0zlLXmbXo/4nQmNQxXUrQ4oc1jTI1y9vEJSSqiyYHifWGjVBVMFuWzwHgpc0JoDfRMY2NMfY/5b7uijNu3pnlOYOnuVtWpayi5/I3/YkbmF1ohNGSURxQPani9R6jGa7Kp97jjFw5eH4/zGBlYfquwJahTfV77kw6lKD8ThxQ41EL5MWjJc3DHe3RCEtSmxpvvmQLGUyhQVQCYnZVlj/L397qXW6TQj3OPPe49QdI6nAk6/GAQLrkim7Ev9hsL1RuEtKQqEy5NpzF7hs1yHPrur/M8qHPbNWH125d1WC/k3/Lt7xalnfnDDf/oEeNjGSv9GWMLOMxXFiGU4tCq/DaTzReoL+g29mpFCSSaVs9R3RmQF2tYMHdXuCwar7KC9x5PcNP3lmpA032jIBfLsfVGKUMo0COijJ613gIXf6sd58cdV9n0kbb2/R68eptv/DUEZe/SCpqqQzqW313T16uLOr5CSjlbCRil3OqwVQhy1yRJ5WWyIw1tzO0quKNPbl5yFgWn3ABhaXbNOqf0iB6evjoxSHIsTG8Q3RJi7Sgl/7lZwNzCyG2J6tX7MqHq116I8S1I+199D5uSW2WLb+77DipNdxqua8mCPzFBQrnF1sDL2w58TGWwyynSc6NeD9sYOhFTYdBeSp5OUm+gJh+Q0x0GWMtoUVo/Mw6paQIW5fxbM4jBLkCaWK6Or7bvqnaeLlrkm+DT4sDyrUI22qcQ4x3TYWT1/3yV4hQdAwElTcssoNkJTQzHjcJkdLXwB7b0TiuFLD8rwy1/DyaIeR787M28cU0qK3w/9rz9iuassxoId+eQxa5btteyXu+fg/n6J1QJDRIQ6WjSNT9emZg5KrBHkif/lyFCpsqwDmltM7nNuswlM/B2mH8+igb8uWSRspZI6pMY2PMWrMgwuN4bCgndlbWhLSaIzPQ4CeBQ0GN05+alWKlLehPsHm6cnWa02ihj8RNNKYSLtqqIiJsjryd6rPAYsn1HpjBYEcG2XqrlXnSSHe9KOegNRNCQumiNjDrewpnvr60ljN4i3m8Kxad0y9TAyimYyNDygVGNqt/tpPIRqdDkGJl3mKXgNWB8dh4/soVOZDvq4RuKuq/SKnHrY/vDNjoxqIw7Q2dfJoZOmlXqg2IHonQZW61RXlk7fneWfcgZ+pUzYusixMhFie5cdbgzQw9Qk0P0C2rIjfdGxNgiqnepEojczUz7eZN+JdfPIPe6XbDtt/WxZmDj62YoPCQPZ4tBqAAKvSTs3UyYWr7Ft7zG23/OiwvhOc27ZYayfa8OJezw4VDwtByvGGfssGmsh5oc1oG46pzhwnUpz4aC9E3ybXbpmdpWLr66flNbGORISssxhFvD0pzGfBPB8q9h317jXCE/gEpgMCgSLM3cTvcCP+vm65HrMp8D6Fb2o4UFqEdg3QCOUEJjAYgL6qieGzNBXpcJpz4k87q/erS2iKdziE0FcY/w4RAaT6oVKsR7/Va3fis2QpG8utHm3xwdv34oBq0jWfR+U+IoYemuYS5Oesr98vypYUOaFCEvQHL+mcjH9eGIyw6rZzYR3LA6YgVVzclQYOEc0xUjPwMVhrdKiiGzZuwg514vgW7FnxTDZ35+9wYNRdmuCY97CU7s1zNGk8WTFMKdivLNm8Leow5c+Vh/8GgqxOShmd2e4FhijWSO5Vv3qt3qoHHLrE0WnPmxHNzoaLgOUJMB6DFcjxYIZJosv0SKgxtz5YAao+OXJhd03SGTU4h0z22w5wY0iPpwqrCaYzwW1eORQ8Oe1r4SreahuhxYPDddcMY0kB+S3dGdHk6/h4WuaSn6vhgWNBz1eyeDxt01N18E2BBSv9IMKJqwAutnL1EKNnq8/bpAEOhobC7BY0ukkEVZwwwF6oaSgVsmQRtpepXILXMfSy1g1GiJnq4SZg+mjNg8Rw/qeId1mhLBrIiSZtZJMOlzdf86c6lW68NsZhAZ5gOwwGdS5KrU5JeVh8Lae8xubWw0BRUiE50GiFRZobirBJHmM8aIbnyNtLvo8+bb/LGlCauYpn6Dsf6xlloEkmOzUwkTuiH6XGeODp/yBDVxTq7k7g/Cc/XetGepWNM7xfMleFMdyTXAsAXiXgy9IP3xAEs4DROYF+vzc7HZtKPBm1VTPjac1mO23mp1mvE2OFRaAeaI5B/ZQnJM7bK9Qfzp2gkzl9VqGWIqWdLxILU1dCIGcEi7c9FrbWhzFhARmYHESkc6Ljez0m0Wotz1CTMg0QpExqRhb8JNcKagzhWdZr52KxFg0/G4TdtPJDfy6nZCbnlH1YlJrj19pvgrbnRpgiyMaEqwi+55Bg2g6nl2+O0Kuutnrq+Kx2DRdqzrAEvM5kKVCqrpPt98jhrd5WNe8ba1WsNk/Q9fdZsT1rLeEsFt2zl2lYUz1qQCCIrGxijJFIfsXyPTIKlTGMjVfuNmt0a2nTviiDaR5YVu8gJclMLxnzTalZ5d2XLYHomheUKYcadgqbnGOKqErApb0qA528VpeDlsEVBzct24LNLTE1OjrgjjVajs238eMJG1GoQHE0q/aQVQ9y2peMLxCYJ/I5GAwHQ9oaE9gQ9ZP+F7ItdGjfj7dzCo1pVNmtP267twGhm6AiJyn9n62LygPrLzYhFoL1/rg4GXg83C+knTbWK/XPcimQyljLPN6HWud7OC4AeSMegynhDEYZGQlllTOhuBQ8mo4V8pAQhfZ7V9JOJ58rw7OvVMAPOF9CMzp0qGDXvcNMCgKMQprpCnSK6bdZzhHwkxZ0BeVsfLxRup6iIhOhSEU1cxwcluWtNO/co58dQKYuv7KBLwgsh8FVeDOaaPlzPVW/twlYCiegJ3kGQrPP1Fv58F+JrVv3hpuHWhUT6ONUD5HM1TXc4QCGYpp77QsYDJ8Fq+ssi6QOlL0W4LQVaVcFApIrJxCFwiG5RibUABtnUa5hIoU6psj2CEsfBErvUNwbxu0yu8urRnQXB+Gs6DyCviW62SYuvYlOIgcf8LbDECHWIfYPoct0Gxn+VugilmpReY6mPSQr+71ld533hdH4AFrsvTVrLxWsPUkOF2ZxrtljpugymXZcckMvBlmIIGws8QRp/GAaAOK7N3N6FCgZ2fv1oqnJIU8E5vTZGEBzFultmi3OpzC/pVmjAPn/yfyXdHXU2hU7NVeogj9puW+rR0NNjYSU0zjvBBAPGRNYAfMz8xRsNAvWe5zIlri5HKQaYEpkqQY+DDrxF9CAv3oRHenOMIfTmBCQX5OTHqHF9w+W0BqShWWwT5WEwjhC5WiPbByJG9uRjIU+6Qk7KQ4tNEp70CxTmeMgWI4BSSuCJyd39CZVemfB41iywkLsX9tD7sssQo8J7gICNOPE028XZpeFJMmVQblBrDKD7GfAmRRIIDNoE9bX8EAjTcXH91mGWCrfFObKevLhljW+c6+uUB7U1yrGqUHBpBKq2pynsSROzv74ej3lX9KDZw7uM+QgHP+lg0l+G4EAOxVLoBwQ6FlRgx4AQ+rQKdneHuVBbIFDkD8MzPN0imGeBYT/LArOPhlVcf41BEJo1XA5XnG0ItL38vIzfHP7xLtleN5HaHVCRAkQM+rReK1+VBLpXKHeKqd5uqdbF5oZR7latdRPcDF64FUwFPS6Fx1tnwm33G9lrwoJ5KBhBhw7q4FV4QH691vP7jmGMkQqGv3osCgUEY4fbTnlN2FXtiLzUAgCg3wfBK75epVExqiADXK9Fg0TCUu1195Pyr3+zroEpmw3cJO7ncAsOtnaOSxEIidjpHkaZHen+mPxn3ctzP5BJK42pgTRXHP2rNGKcwO/qTqHxvg8zqe59iKTLeuCPzsGfyO8N2ylQIzur3iR/ipgA+B7j8drXYm8Pt9WuY2z6GciCLZQEOhzwU5TF4tjuDA514xqcjqc7hlOkrqfjd7zNEMU2zfjgXWMvOXkKxtGgwONrJnDrTFXA86mg+Ezpw3+9scC13ygTzs6bMGlhn10FY+K0iEivJ4k1CYT1ErKf4NQ33A4JDRxt2bnDde0o2QlbCWK/HNVjzZ/tLW1VD00Fba/Hd6+d280IsLTJcKZvwrh6em0xl2fCFbpvV2o3lTIwajKgMk2MYUTuzVeBcEgUJQfGQ6CpEwSuScBD6rtcByEK+rXdRZYU+E+r0UeK/br4QMfMziReROq8e5u5+aVBmnUNPXIX6V31UPQ5SZyWaGNUN5wk8/AdN47KevS3gEGtwFKRJFYyvGtqaHIE0vWo+JPMA2lSr6LQWqTk76zkhVv7Bi5K7YQIN98mYBalbYmW1w3ay81chVsRMNDLNYrIiX01RNNyi70jtuDPs6YwIXzrLVrZXHKOK3pskyLhmrbvEGjIVznnFsIXKNPMMTq8FauoozWYJzQnmkI8cp1ssA22kCz0MSlIvvlYJUJlSyh0bhcHsngQ5JaH3jWHTzxxyU+ohJrb3IrFSn1opvt1X3u5MkWHm/sPBD2Eh3kyq46BI8zu3sdDZGzyJE+bLs5bv0k38Ahwz/KFUF+gY7u12cFd8fFITy765POd/Uk/8kbrqJFR0bEumLJtDtKP1JPJjD6DActJ/Gv/iGERp4r0nRn0/zSYaUUkPbpQYS8NB91qEaFETaMRYz6GaRhnLWVbunPbx/dWAOWuOm/w1b8Kqg8cupalzzIgZCJs/CWyOLidebrD06tiZRtof8CREoJcxlLqIbB9JEIKbDW+6Fd02R3fJ0jqljB3sMjOv7K5FTGhFBmaLnCd92wxUQgbumxTLHOMNiA4SgQwN0pRY6h9dUdtiQLdT8JO8CPT2lJTJQJ2hoTBM3je5u7aTMz6WPz1V3AlGc7HV4VkFQ3DruGmz/pfUuAZcEAfSFVLje1GY8b6+hQvFqGhHyJf0MDw2pnXze6xDW408f1keQGXbXX4V97lQ0edy+bY+0yMsmZFc9NsVgXBAIq9w/xPhb6d3Lhjw5P6hWk6shIJWD/NmzE+s8t2pHkokWH23ixh9LFVAytwJKOkHgVr69RiaklibumEhuDHPW8FUwu1pSDJ0XaG1f5QqWhxnxjI4iJDRaGqTECdIcaGQia566XNphuOvbC5ch5PpaFNiuo4ao3x53p6JC/WoaiL8V/p4Hh8bBzqSAJ026XHQFJSdLFSjtg43us2sPanHBJF6AeelnPoXSKH4/CLuV7/08sOll4+6iX4T2UZ6BoGqCsnCTtvG9bPrLe2zsjWT6uvr4g734g22clj1/9MV42Ev/cPW9z779Rd14XSFsaLt4HFzN5gHl3rdIg3LmSNMSOfqRbpUiJ2n/AR2gTXXT9YacAGkjYPBsurfqLFuG5ja87c8+zJuxqI+dpXNJgUv6XYwBM1Wrl6Zm/vrt9EgQagZndyFMpoLjQYPmujylaD7v8JtWJ1h2SBIm6pzcTs00eV27kZVi8SMhnsi2N6xRkHoYk3P7TM8FkJiBHs9yoe0eWz4m2Mv1kxWH7vCdd8kOA9yxEEPHs2Gqeg/cQ4+TLYGtDON7KQRiJyllFZnxZec5/kr5jGPDiKpEck331wQIN+O+wrBs6maH08nAJhgH7956jLtx7naHY0Way2xP9JoLFuh1OFlNvJTgewFkFpzgD125grhua2bS0wb7TNknSaXWY9zVQWjPTVRV+xzshkt3m31JimzRjfyx3fftIblx/3MI+oNAxiFZGKG505UIQfGczSHSyxMPmXugwmBOm4riIBgD9JVLXWAmtyGpiv93dxoBGU3RmZlzV6I0QgqEs3lnwfHlySP6bp4UxzsrqVg2ZlM73EcW6bwU5qS/exTa/hBFbxfNKWphoYfXq6u0CEN/7corWJeBzra2IEZFhn1E124Q4v4AKUyhgt9CS1tNuFx2B809CSYxWV/JNSgxDkrL5sMON5HiLy13G3Un0Uh3jgRWHEmeII50nTacaMnKFeVxgf8RSbm5PTa28JYMo9DvohTNz0zTL7mSyQ7gACY4oNzzEMkNnttVsnPf+i9set4i4tkSTEGPNHOZMwNtYJh3T0IozCC80MgWN/m1uFzzuOxkXW9vCZ51fWsNitVwwCbf1BIwfQc1rrhWRNXIX22gZT8awpgRKT2w1P/uWTs91wPieNwW+YmRE8T23EdWyaCP9qDVZyKiYR4frFAP/jWv8ANyLT87JV8PUBunbv/SvSJ+/+s6mfrC7ZwK4s3iOWWToK65RfGyrNTffDLntX2lN/3Gmrlppe85QisQTw2xWeTY/Kx5+2PJ0BqdTBLX5P14pzj8/buizAgFbzNWypAvHyELr+rslCU6DYPDmQv/7bhGeX5rUfa+MGUONQVZyIOTKo2pNYzyLE2dedoLOEIznw0FbaWm325sSt+yw3ccBFpbccRu4d5sMPcfX9fTUhfvb18816Y6cGK0bVzY/UJz79uCuJOaPWZypeLdYZJxxOSSD2dTwI9L6RLX1kydPQj6dOBEm2pduuFLu5pGGS8+wIaxLipPUk2Sro0DLGUrLoZ4evb7iyIKQoGOotAfFDk40YzIazaSFYkKT7DH79GYVcYrfAm9oIzEUAR99FSWhufDbe6aQdGeY96cuNsuEtpyvc/o4U1RkhiCs4iOoJOLlw415VFTrpZCbVRtvEPH4IAKNR0PONeneTQNsh4roS9PhjglsqcpxYUdIPK2P9iS3NDr67JnF9mTLD//Lsp7aWz/3x1OMGebi6mDpJgvPHizx9mk7LZDTr2VCvyKWYkqfpHmuz0Lszfq2FofZJRfhRFMlH2v2lzcULlpgG7R/cK1weLVJohsC1bjZiMHt/G3b8sTTLUyYVj8U6VNFWhN2nd/b6IYvCoR6BUzGE8phyGTav7i05HpPs6Ehk6yaUnChvNdz0xBQ0KmA0VtbhjE9PXBMLuWz77b0bRAI8rkREumCYtP5NjuX4rpmTkRdU9lV8dq7gsAUceIcDUFiGzbL2rZ0W9b3frqBZw8rZqHf2qZ5CDLp8x4IsAidxs6+uFqtZcULUlpqiYm2qNapr4SV8CtznEXO3Cx6Thk+KoAwwh6vYcAsfpHACesZeWqejr8sUPNySjHHPkTfFaW0BJHKJWhWBpeGiDjWKQ5aZYhFcQMWR/lIMtCyFSTCetBg1VRqXr3ddSVJOSYuVIri4211d0qgsq8hSFoone6oGXUqfZmgeHZ7BpC+doKo1T1N+ZsRtXUdjTQegvO9I+5m4p7XShubjSVuSGqzvlWBD2wWEgUBw8AM96cK3JopiYyowFCOJQCpf810APJmGEZMQ+QWB6UftEp9yXQrR9mDM2J8FNo4u+YunyGmWpLoKqL3fUfgWIkMBgNuw0mV1KW2NwR13501j4vpI3RqPCDAt2nrmFXAGd8H6x8mm/ez00VVM3eVE31rCdyvWVFT5Duzs3tu7KDn5SlJJKSLl0OSKcjAAM7UKmQYuomE6qyJ0P12ccmAM+o8keKLt5NwomWioApn4PSKcdj4EZsZ8/5TX6myF7Udqos6/kMmlQJMdDMN7vZqP3/QInl71vg8TbY6vMY/JJSCQEKxq3gCw94PSWi7lag9548Tr73/y9+hxSkt9j8jNGPI/tLtkQ0eZc+7WynIowUuIWGVR0LfU5hsf7siPCkkyPkEE8FxbVZAqDIpaQeFEvLC9F7bFrM+4q5LWbH6zj6X3S+zWNLgDzpwqvJb2L9rVBQ3a076IXKUMA2IXO6AxhDoKeXWoK3Z2WshaNqoL4wOYwh5lshO0i/9F4+pYxGG3sclUEKBYv/j5OP/rDX/BpkX5t3oKwhmLi5+OjOpDyPGuQH+OWhDQ54dW2UghuIRCAyD46x+PCODIgOYCC0KojQl+gtQuA1GllRrw9G1An0omCJ2Y/jjIf54IUOMxzBlNBgHQCXxJi6EkFp356+zKuRv8Yj/egyob8l1sjcWvyfRPb5/bjNGChBhhRvrkM4pRXGzVnyyDfI5VejjA0uuoOrabDng/DMMhCDFjAOjBRpHiGtXurUPu8VZAqv+xFLyDtRCSJuHEz7nxVu40OPM9cVGFi8k6+85w1xrtfZkzx9bblgdEeCROAZDicEEpaMZNIDvGBo8eeGIraaan7UAEFUdPSFjP0/k2u3Cqi3k5g0XkpHDLRX1Y4oz5i+joh4PD2gGTxki6RHhRJQoirqxBzrOjzAsZ3tQvFp6FqaPKZ3CMwB8wUtyiHsdvBX3R9v/3mIxacvuodj/U6dskTCabNcFEdj4MqzcjHOO6flojbh3N8x8SynNbSy3Nklm05/pPDSk51kvSNalbo3BlBtoJ5f7XyzKqxijsTfuX915zCayf41Qk+/5xGskgctgGOBQ+cA2A3tGDseEhW2ohZBu3m6tsXChK7nmdCOL58yKe840s4FbmoOzwdRD3PycdsLtmb2gN7jHQVByXAPeHrYUMG6yL4W0U5n0qVu9/2rkSVPfK2x25ubvuRyTSs00/LbVLbmdSRp1mf+AUc/WqKgr6es0zTTX1h7v+XJ37a65cFkK7ZrjU6gX1Wh6UWOfhEYjFIrtxBBKosg8Ls/p359OLk6uuUr+X3Y+mXGGf09FnHHP29Xw2Nq2jJOwKgs9rLDkY/CYODhQf8wAZgiWBqPcbrAtqX81Pm+Mrx/MDuBuxaKZ7J3ono3tpmOmdP7oky9bjrreOE7eTrF8Uznh5bQrbtJ0d6ddsnvoea7q64fQB6yzpbYjjaQA3AMzbz//Yf9N59K/S7cbVd0mhTvXO3h65h7JNfK4CBrtICkyui8pCIgaj5yvrxNJmpfSgHWFhRJyhigoQRunqQ42h8a7ie+Bu1ksYSBYLE64tC1soDvCDb5s9mtZwD++KUsP9j761mpCl8hvwLFH6iiUR+SL7QC60G2G9KXpKD4MFckCLZHxQxhLwHqaNN17eSUc0c7u2Hc2tjKy2mspmLClzWGzyjD+YB7XQbqLrP6nv3/T6K6A7o4t6SUDL1Ksiwkz10Yj+9M3uYur+uDsLmzUWfbVx6tXMrWtmXdzKg+ZbMhe9u7MKCh9o7SvVDEkT9xFfp2Hh+NtEdiFXUHKZlOIQrWmpg5JdKMqFIRd3mvWdxLyW+BigsZ0+rsXc/NmU4Rn4eEIV7SlOsGjDgLdqwL8MU3tdWFWa8zMvWKwAU7Sj/4UHu7bm0PBfC8iqTp9ifXAupNxXr09QW4TYZfpBS3EpF1HhhqWtN3SRBp9MCZWtGm8OwX1tdSqxm7Lp7mndcqXmbfI1DPyXls12ePq1d4bmW1hiBFPz64Q7vYPDXHkU0W/5ysBdJu3Y4q5HekWcJiGgAqqz7oeYf7XI+KbwD4wn8E8MORsqRtSdFDfuiCiv9qrisFp2CzEzo7CVqa1g4SgUtG0tYm3gf6defje3sbinnuMWMqdJmFhIXtLV811IiPvSVySSU/xcPZ5z6VEtDoKIKvCzw/uIJS+k5m9t+9SiU62LxYGGznarPij98zOy3A3QVPA9ZWjNsdiv3zpRdy0z+U15+VRrNDExnjuCqpOJ179zzTi1FPKTDJcwJbeqr3f72seiwsNNeDn9TQaOF0SPPor3WYofsY+u9Ga5ZdOxtMU6O482yGg7oIM2cxpyx0+aG5bWPis7p9AAB9aJBJR64T1X+uOVG328BjcKhBp0H6PCTh/DgkzDHXlQKCJAP8KrNUfGA64Cki3Q/QJpqfjicFBva2PYZ7AqDszX5r/sFTkU66pkDkCCVrOU6ZuHur+MPPEOz6RF9K3l3OlgUPgOrJCGADNKwH1pLq3gyuowdQ2YkCRJp3RE8buWCAyAKy1c883RLGnrH65cTB5kg6WWOKo54S5a1YHiJCw/71vPmJpDTzJmrwbu6cb/gsjp0l+2Xf//PkkT71dGewXF+MTp9CKK6A/02bVc3+i+KuVLxIRbtaWh5saigcnaeYrmlIl3j5lk1HewNT8mB3mZceatAy0w12kRul9b39G/cHS0/AJSBLl8Ok+O95PzTeD044f9jVDUrbx36ERRoqXTDrxp1/JKb0oUudulhb840LjwGE2qS1rrLOBI6HeZP5lNfv5R2U3htFgt48QGqY8x8G5Mv3IDjAVRnnBxEa7pb4hrEFUJEwNIMGcbeEjN2xzc28gyagto/FUI7dfRULvjV5eYMYyaVV6nHB+eZFwHZRFX37mM3jUhwMOI2QZBZsIOxPp0/VNPpo5vYEWVV68iqjeA/y1r5xxozIjQu3W7ewb9lBUbFEQ350Svn7gYO5IaYg4HSuzHEZ0WHtOcgqunFtqUn06hBxt1yXu8Je7l7s8ydMHMxM4rrJ9ZSOXD8dSgUCjLcUH1YL3Zs0jaxLTd3Zef9MJFEM/M/aTKDox0HFJrR5dU6BUImvr2hvhMgR73oe48j0B4oZUyT/DPfO2q95SAn4fPqcWxIMEW1mZBKsC2nhm16FshMPOiNA1rYQ6qMRgB7hAvU8HIlji35bw7rZ0yk8fCxH8KaDeuYw0m67fm6Sny/K0zwHDg8SINGvb95iAE54jYTYerhwwLNE4gt66lX8H7dM1GsHbw+HSb94dPPX6QPBMA0M2bdBCYVf4A9uEQfl0UdbqcQ/KYq4PeMia3HBHN/b7QGDoAK1r9F+1f8ykNf59Me8HfcMxR+M6LhqL3z32pq9BNbp9CuRuZ0Bsmf0O9eh83st8H5/N0BqtdIy3eE0ubmz3wMaOVasKONXMh51TewuMpZ9Xwqmj58ac+RiXhzKWwzotFOLYzXDu2VOUIMk+vNHjoZ1+8A5n6wu4d4TyeidNL3uNfbViTpC2t8g1f4+B5RCvUCJG0poG9cjq+3d67wIJQOI6x803fgRvfjGPtLUVBfGap+Kb/NWPf/T1Hc7L25moe7+KyYe8I7YAQ7Lr6NHS/L5OxTQLpGRVs+s+jiQvB0OhCIvrCqxaPSy5ksF3nwHBZgHiTDrmgOfcQqX+K0vfJUoz7+Znsqovt0A+wMKmuuD8PD094y+BXx3hDDU1PcMtymEbGu5aJdGCxjkE96Shep5CQWucmtaoJ1TLJA/vZlBpiaHfglDj8pE/8lVo/zw4DfYGILWLiGkSiU5i351iLC37JAgFvyDBNQUNpIqbYq6cUVfQf+urfbxlr5UhAOaIeXCg6igLLAhFo9NzgnNGNQdG0FXYp1Z0pl19AynzpdhUa55SUPDFLl5epxYCYKBCA8g4RP9t6bd61hlbyeIwpFTq9YRe/gIBj5ewzfHY7q2vo3rwkVjrwGcK/EvWz9dtV7+5hiGEg8FPHOAsLt6BZfE/pnvvax8A1Mc6mADq2MEex24Jhh0em8va7gZErgcs2SS/oUjXfa2xtSVivZsJN823vZoAcmFC9nfMiGbXtKOtVXWHZ70U9Tv+xT7essdmiUf+4XP5EDPWA2FXDHyeoHhUezDNYBZPzsbTJn3/T8w4i7OGm5fPjbHO4ozftsx/wS/+f2t0mPQpqPC2rSu+CIxuaLMIIb9UiZ6Ms4rGNlsL4IqKDspoMKRt2g5LswXbEiClZ2cr/+5XLE029T4B6fQ9YxfNOyYcrFJPeMga4++0m0jf61yT/kdhr63OBYkHaE9U4HrOnse9evSgeADrXkBltlK17V70RaNHBkorWF5Pg+A5aZ9unqe10mhs7meKVySja+hdKwNet/vIfeNQ2GCkZ2jXzMKZxMRZr+5AfknCrb4f7ky/fiQJDiPWt+M6rK2/b35HREQxTBTpIMvhJ8P6uY4Se3voWFb68403gwk3Ey+02Ut8169no/khsBa1EGZhpVbzB+RRPBTzeO9/qV5ee0FBgOOuqBPn6f2J/k8xmGvhuS7idlPGzQSOnQbdG3pnvuWwEgKDCHLQc3ZEPJIOZ+PpQ48jm+yY0ck+UiwcnydnQAmFnN02aD53Hxyes5qAYpxOZnkiiaYgYq2w37XHrprsZJwyYPU0BxYoWkG1XPLUdpqDvrnBKSj65hbFJYNjMQjPrnlLMHgAsrj3EGAIIN4AKgAwIcmodxG0g8c9g84160MZaBuW0g14HyrLG+TRGTyh1mCgxrT2dnRTzLsjIKGAoqgvZbkPbLCi1f6PawUCjTOzoHP4YIkShyj4oMoII30AmEoc1MbYBRWhTSl1N3hiNR0CRAkyB0HncN8i+2gPB1YrKfZyVPeWYi9cFNflzuRhMPJsjqfpQPnfqoKv406T6eDZwU840NIwpd0TpuJgpMpM6LmKUBO9kGCMPm4w3rpixC0iEdiaROjofOlNwTHqcNvDgd2QJrpVkGbWI2w5zaN/yf/PYO9FIy2qdngo8AOgfdyy3kDtf6l9gN6rGbXE24L7uX1Rm1TVPez92+OHtCq978oDA7jE21z7qtm09lzB1mG1JJjMtmbrwfaibcIAf37StSDdB1N9U9tber2Hjecd6hN/bxzxzMh1He4jmhhoSQG0U5T2W1OpIO2lQaG16BBsvY/FQa7DuiWCKbOYg59xbp27jhiXG832fv8j5T0rnf7NxvuhIPt0oG+SvXah19h7LEN/QNuis72Q3+qel7WvBnuMiPV3/+X29sHxfqnuDaM+3ZOHnAxYXtP+377OAFRjb+Ls5/l7fo21H771EXk/nepTT4XTPcPYY1dKx+6bqVyyyAy6+szU8ttbFG/BrV4AmPtoH+/7f9zyOPpEkWf+qtf3/hcN9hLw54uS3jLeh149OIDZT8tGWP5rhwcC0MmW36I+sh9zE6ejvDn2v9qW9PSmB+t0j2rEa3t6KOKFfX3009/X1GscmUFr37VKxYF+S5DnW8z/xy7O3S+rfMRDAgb75kdLohyL9F68J1szAuur16Witesu0BW9ReeD1Z1uvlejYDOUr+y9Db0A2yez0C2sm72Lvceu9vZoisY+3ldLvOv9Pfdd7/QSIV/ZU+lrr4EgRPG5Xl9i9OFAIcFksdYdxNrzDreovG8ye3ffapfbGIwL00aCI6i+0zj7XLclrY2W9uh0rVp1TTYkz2exD3ARx60JbEsadwDahrZv91FPlOxrRW1L7AHaSXfsIS0r38P4qcIqNtdLW8ubU3/+bBvfp12A2nN3ey8vpZVd61VxizAyhKo09QImAsiwFsCfz2p3EGz/ulkqiPviuTJCbme/enm//7GVPT/a5jviyQEyRFrxunL7X+rh729VL+GGZwCOvvl6lGwl4/o6zHcEclQeh92Z49tyT/6FQy3S+rWa7wjkADlds4PuJWB2icGPCroDZ8B8+5X0knF9C2PeRoTXrsleHaFx59Tno22+I54cJUOklazLZPeOMGzgDMDRN99+Jb1kSF+H+f6CHMXjo9Rvd++qKAAKqidHyRBpjTIoTN22Zq+eAfMdEXKAjOvrWERjcXrd2VxIYXfW0nMvkspfTu6dTEqf80MCumpX2cererqkqbdJI8dCvYc+xlbdC8SIGsXazXgI8L+RgcGLhxwKnJTaA7t0FY+dmQjf9+fu6wGg0xMl7KdHvb9fdcpqH3Alu9FwSxsEWCs++deVGsHlf4CBAsuEv77sGpSek52e0/sLACCBAcWxv2uCPRvSbXhdsjjzFr0MgF5peJhXsOMgnAig8qGONXT33ednpHqJ7XW87wG4tgPpBGsTjL36UCMBoD/0ckPsFGxHIBoGeIvWnnLWkVpHkfIasXSs7ZCxBWvnyo6Wi7X3e6eFXSgr/wi3Y9hdQ+ugF6NYzdtsLuzdGaFV9/gubwX26ZLcIVniBnLnSsUbjO6WHBj9MPUAtShuAgB+uc+V+2DHvbcaALxiXCSMZwDQW+ijAIB+6dhxxC4jNAnThLKdq9WBE/dNbVFS0L5Lz64xyAP77MY5qMCeWF3vQvf+qd9CqxO+v8H6Iuoq2FkL1J376vg912L70QBVL7Yf3y6YsT9UViVwVd4UA9M6OF04rZB5r9MFAlDJ6LcR7PRDQ5q9zpz0N5qPccQLsLvbug+3rX+hHBSFGSvsQcg6iEYA6K8tPqv1R52U+8cdttad8sMtWPEgMP5FmYpt8p7QOF4+dG/GtkIM3AL/RYQLD/hxhwptDYp3LiLHEwQSG3/jktwJqHILShRQFLwU5J4d0BrpuiTUwXWjneQLZqMq0h6tORIJoQk650gNU1n8pRgAaFb0V5w9Ba5TT99DELwDupr9BgD0fSui7Qo23Pez3KgTRnhO4o2E5KZq06sM4Sw5o1g6MbgKdRVFqTJVtlCFNDRrSUJ1YmgCk01huhnMNod5m7Zsd4gjx06cOnPuwpNnL71SsKP5v43IXwMDAEnJjkKl0RlMFpvD5Y3/QyJZgs0WABonkm5jhBBCCCGEEHpa2BBwG6Wls8Iase7QHCSlpBer/gR4JKgKuUooqwQNfCjUEM2Wci1jxaq1Nu22sN01btx2h/ue6BkvXusx/af37coObBsK4Y3MxR63P/0hkAPxECkZCpVGZ3z0g2UrVq1l2lmwOVwe//at1+v19f3pn0HER9lkLZmxubikEho6hAmaTvbDvj9ckXBvOR7+LfyLyAUcGE/IVlMnkVOESqMzWqpoGStWrWXCYnNy4fHvmDDGGOPH+b6zEclN+OhHf4zFa8mx1IoOMbnlZmXiS6FthGYtWzuB2x/HcdyhzYq2nO2uxY1bd+49efbSKwVt9Kbf+QY/V/GUTXbpJAw4EoWtUFSJKoCQhqaWdp0GhHuhPDffNjWwoRIWWewIBJCUDIVKozOYLDaHyxv/fRdHopbu24G7+0EnIUnEpi3bnjx7mdceo/l7igPbXx2uA5+XbzcM3AvIa15bXlfCiwIaFBI5BSqNzmCy2Bwub/zenfW5EI8YuPjMZ+nzGyzegdKFR3wSkqSiZChUGp3BZLE5XN74P+LbbmBDS3gjBQPuPS3ZRTIgQgghhBBCCCHP1/fQEiGIseXztgw7PbLfRwNhQ0dh7n4H/8F3iBB2PfiELwAAAAAAANByJ7ccKZ2EOyQKvVyWpUJpRVGqzJ34LBaLxXJIVJu2bHvy7GVeW+evAxBMSOQUqDQ6g8lic7i88dsO8aFEWKz8lg0YiqBxIilZKFQandFERZOYMm0xExabkwuP3yGOOsbJXP3ssLVkobFxubIsHDWohU6CkcgEHYfDsQf8gERVUKXKqATBh0IN0bRpy7Ynz17mNb10Rt+N0nQWS+8JKZTS45JCMhQqjc5gstgcLm/8/NzEH8J0yV7WcCC50xPP84ckI9lRqDQ6g8lic7i88ft9w3aYcmEiEwRhwid8Zy5ByOYaZjTbKJtuGBt7g429k73s6wLVispG8JBGrboEkiqSJUVSHY3OaGKjJjFluqWtW8aKVWuZsNgcLo/v0JFjJ67duHXnvqCnOz2x/oM4DpUwQU1SKpWOROdiiC3CbXZVSJTuVCVJkqTDbxAyWwEAAAAAYE2tfcthR8s6BY1aRh0SIE7wdzAGvl/8zlD+oCBu2FhuUHGqEkVRFMVX/CYgREqWFEel0RlMFpvD5Y1f6rjUU/maO2rgIk9+U5YP8EAOxEOkZChUGp3RUmnLWLFqLRMWOwcuj9813eDWnXu96VcmoIOBO68pSmWKVCoo1dlKPQ7m1/7JcLtiEsRYvAGZMGmqaSx1fNlZsWqtQzrCsZOucdMt7tzrTb96rYlPkl59jfAADspdFyA/hgMAAMjh62a2bdu2bds2WQAAAAAAAABIkiRJkiRJSpIkSZIkSTIzMzMzMzMzMzPnnHPOOXecopKyyocPYHwC3cbOud7leHQTXVYDATQ+Yn+Pvu8fUBVylZyyStDAh7SGTDMGtgMAAAAAiIiIiIiIiKiqqqqqqqp2jkhXPL9NPWYHJAp7m1mbbszMzMws25AkSZIkSRIQAAAAAAAAkCRJkiRJkpIkSZIkSVJ7Cjvnw3UoJakuDknS9DG+V5UkSQAAQJoBALZt27Zt27bRAgAAAAAAAJAkSZIkSZKUJEmSJEmSZNu2bdu2bTuh7mySJAEAAIBt27Zt22gAAAAAAJiZmZmZmZm5ns9PkiRJkiRJSpIkSZIkSaAAAAAAAACAJEmSJEmSlCRJkiRJkox1Pff+HU2Ga7b5tdmv+22eqY5HCgAAHOHN5+4UcYgBxH4BoNmWRERElJpRakNERESB/gDs33dg9oECB0pRJl85+H0XpBSQ3CXq6eGnAD1ByE71BMO72hPCz8PloXZPGHbGPeEEqZ8qnk0pVHLkKpMvXao0hXikEhl5YUXG8oGZKtOU8BUGU7/2VkiWn2PeT3hieSZJRsilFC6ayuYSnWxGFckSVYyuaXiCeYGwYrdiUhMvQLxsS/AIqGyUzHJjXlgclsJWIlWRrLpM/jbUs/wcT+7IMicT5kRIrZrTLH+NpzhkFR8AD7PsAunbURu2YDJCXq3EbA8wUlZoCScWLAp44qitXIWBm2/HsjzsT7GKAmn4AVvO988Ya+n5f704/lcYvwYhoaBhYOHgERCRkFFQ0dAxMLGwcXDp0WeAh09AyJCImISUEWMmTJkxZ0HW/U8tazZs2bHnwJETZy5cuXEnp6CkouZBw5MXbz58+fEXIFAQrWA6IUKFCRchUpRoMZZZLlac+IGBXvUanNTutUYbrbPTXn2DAGvdVeeTj74OTWY9tGhtyBdff3sHXHTeQQkSNUvyl2QXXHLFZX/7xxspbrjqmkNSLRi7Zc5Nad75YI0M6TJly7JClxx5cm/v66RIoWIl3iq1UplylSpM6LZKlWo13vvouHnDRtz2wB2jxhxx1BnjDjtrtX1OOW1yUGC9fz+K/qbLfilkHwr+FKaV5aYlr4D+f1j+CX8aPkM3AA==)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Fredoka";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Fredoka";
+ font-style: normal;
+ font-weight: 700;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Inter";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Inter";
+ font-style: italic;
+ font-weight: 500;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Inter";
+ font-style: normal;
+ font-weight: 500;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Inter";
+ font-style: italic;
+ font-weight: 600;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Inter";
+ font-style: normal;
+ font-weight: 600;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Inter";
+ font-style: normal;
+ font-weight: 700;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Inter";
+ font-style: normal;
+ font-weight: 800;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Inter";
+ font-style: normal;
+ font-weight: 900;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Monoton";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Orbitron";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: url(data:font/woff2;base64,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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Orbitron";
+ font-style: normal;
+ font-weight: 700;
+ font-display: block;
+ src: url(data:font/woff2;base64,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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Permanent Marker";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Press Start 2P";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Rajdhani";
+ font-style: normal;
+ font-weight: 500;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Rajdhani";
+ font-style: normal;
+ font-weight: 700;
+ font-display: block;
+ src: 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MR9x35pj1AP3Z8tMV1uVqNN1VV5T2TuB9BOODhJcduixBXuvryKAWLBhEINDriWto/DUlASkLFCa6L1I01izWaNaPvxHqEZCi31pF8m9nQcn5XZn24xR1Hw06c3p+yoYgaLZOIzVvPGZ2Gvsk7qWvLbECv7uTxWigtd46o/NIU6w1ED6JDGj8x7N2w77FKNU5q9cmSYDiuWfjbb8+zCwmF1gE88+VlInYkR/JwR8flopJsoPYXiCt/s/+Gil1mNssUZmm0Xhhfnara/SNrNWtHtOZqF4lUIg3NTpy0OQiixH6OzblKuku5OCXVRIm7dOeKdyiFfit0TNlJElHBxp+kNfOMwdbCwrWIiCVEDRUnZLZxD2eLHU1w9Tqa5qOoPw6SlKSv8DCN2YlVd4yyYvLoRp7wxdaWufocz9142xc5kysnZI6f6S6eH6XQpNuNgDxCBejMLdeZMnNZK90YsFsbkVMJuOiv9QM6RNg4I7VMlv6Q7VimEmDLTJwDcpl+jxJUyTzjJE2g7NW2LFVlsVFPyWe+LlrSb0KLlKzM8wFDOjjX9bLtUOTPRYlU4wehiRd6NAwo9hntNW6X9CLtq3dW8hYgwq+aeoHjNHM1yaU9HEkfMn6hq4jEc3QiEzaKYoThRnPOZqm638DOlxNHszVhdonGLUaa4isUzbDovnufIn4ilubktxZT9YY1MY8RWZ7ka31efvrwydS+vKDMLMqGHIoKuw6OpbhhgXO7FDZ4E58mpzXZ2GqvazLBjKTsNFSNbzJCKUmI/4UVWvxEvzNto7G86U3uvmlJUVTe5OlDbcOV0T1EceUWhB3AP8wEoJLPrTJBFDRcpZ/dSpLQjPc1kL2fxc9JtEX5CC1mB4zcc9sx5UyXPG4jzoFUUlY63+ehkYiFJAJzfsYcH1M2jZ7UESMySrPNKDfdOB01NXAhObnP9QdE0xGpOGpzNPVXi7kYp/9GiQqWs+o1ppfwcINjFb9hlYFdoziWeYjr5af88vXYQdSJvNKC9/Ie8dA/7MyRnqeg3zhgNxRH0ZJ2Suj7TuI7I1yNVhrq8p0Ix93rg9wUHhqFjoaBHN890Tft/zP+F2qbhTbPnPg8VxVCUcMqEvtVO7pbFJmmu1LTY4o5ZVjUW3w/Yh+ltmHns7860TQultGIuDlw4Lvr/9inmw4rv+BWDmcat8WfqMG0G3Be72SQplHljN60TOjzYTDtilTDrhW5fM3hhy+vs4gKZozVP7u26yDGF1+W2usRV+c+Yi+v01LqkAF4AbsL1pKTEb5KF0ddN0q6ogvMbuuPdHo+L6wZYeSv3ktKqOudv29PJJPk5PabfUNd0RVoPOVoT2FpvxRIX7M76UkZ/D3X097QMFkMdfF9YYjZ5M1oyvCZzRgfv68A8YytdB3jCMWGxZTv+0ohJtpGpunpXnRwVZ/auzje+jfXv9Kak1K3Z0afXaJmFFb0Wt7eGzUs3OX9pLUKuRk+lquMPeBwNXqAJs10RuTzE8BNv/+RdoO0Awxcecpi5PfKrd17Yf6zjQbE0TjZggBVQSA9Zmc+Tl3o3ujfWLUZbeDlRHdRSX2tgvWF9W8C3FHVE5fC2xKfU5kiki+u4u6QS/+pNaLGvHbT/li9Gm2KPd0ZJcTqWRiUpEpsDZUvOPX2/kLPuu+p4nebgmEuReOuXe/+49rvSsDCmn1YMJr+w9leX/PEjXlnV8LLq+Awk3FafISnb3tvXllwT6944yQ/xc2Syyd1yuVku3z0pk+Uo8cldl9WVXDrAxrTa27spMf4UY79U/ieaJ5/PX8LMXG4/SP0Ytl+Wlg645BuZqpk7mepRSW+pj3wbFd8GzSREjHXoflJvsN3trXFbLtdrZ70e1nIN9fTz1eLP63OCokoAPzWJagE+W5VdFv3xylzuvace1SqZBZWahBiCfCyO/YQ7iVhxEnvH/87O8UXfAZQAdAH71qYM1QJjWINpvmhogRjJf490DytnRY0ZHUos7IiCnCRp69D4+yUDIJ/+wfJh5nkT50MWoOV3cYY4UXn48XWHKPE6cbG4vwzjYhkua6Ems0UlBsWssAawBaARwAnw4xEqTjl1qtdC7rNVwZJWImXCjIG8xdSnzI99HcwlYeKo777hBhIKBlvdsvMzAA4M9+0YpHiSzaqaRXNnm6MC5S/98Q5gRQDNK/DgFx96Yb3q6zV2cpJJJdPETl2pjMS5F5DCCQdI+W3dvDFQ6WFdqY22WJtipdblcVUG3B6XS2tQ2560RrfoXR7W8XH1xgkSJrkkRFxMaE31yzQ4MP1An+er4mP9mltTM/fSl35vkW1Velkt9LayTMC4y0ZcZuw3PxfKNTpWx6qjbfTmTVtvZrKYm9uJWyOaXuvnh/hZKXQ/H/Vox92MJXcUybaOHd1M26LVgJ+uiSAH9Fj1orUYwA0Qo/IdHfxdGcEsqCTMLAEvcJnfJfOfOoHx8eKs481pp3+wzedWmPOuVdc3es97Wptq7gJQAtzZt39n4N7OsT2rn61b2+l+Lq+iPC8vpjuaw9lcYXGyTrOr0lt8lQYB1bGynaLySYiUMiGy1LFntEXimfa1y8ai7dM+j6QFbY2JCT5Sdo6ZHI8qJUevjmGhu0+1wOQxb8b1InQc8aSd5C0mkVkgqxEaQ0NdfoDvdZ2Y7GXlm3425rPSjj+hsDwYJ8sH2VoPa6BpD9DJJEzsTB028lbGTrKTafDQtGEy070QDBKOuiSI0CE05PMD/AbALY3s3yBpuhRAu49SDHbAL1JoGFGXQfLCZbDH9yI2TZe93E2F4KmWU1RLMb3jVdCXBLTjgZhXlIhvk5MQse2YTUoXIpQvYdOtMtlN85Fe8CAb+gpRsybwFe1Z05cIzVLoS9A9GvR350rbhj2An5GFC4jSzJPykTBTWI54DLRzP9nlS7Z0HH/3UUUrcm67FvFyRc9eQbn6rhM/F5RfhuSz5fwNf0bUy5i2g+qr4aN9oPrCb3E62BqpR1qz2s25Tm3lV3M0nBK4ulsiAi369Nma7+kVEHxqO2cjwOmM5fSRJzZwNkDid8FS7NXSavfS/mAfZUT0KvOfjeItjSWHKHQNeBUBEmI853cbQOhOlP77rD/Vaz+WibnLujYGeO+igqpQYW/FdOv81/Rbts7Lsut8Gk7g3QlFleQ3Z9vrxRR6FnjVreQtJctcJ60IXUHmtBmMyJVFJlxPMiR+k0wt/9axrFLkUKSyBerZYu3uhizB10UkXk9K3FlqqIrwRNhmU6nO/LgjC7qpTZEeGn5BaL2vle0fdddT6BfQ7Br20PiZuOO9OitPQ6YeI2Gm/C3/GGhKR8AUqu2Macamrq845X8RTLg5uiRUa1cze2lNwKeRd8k4uV9zV36nkvRJyarvI3O+Wibrksf31GnwPtD4X+HUv2LS727jDeSE0qfU2YO8luiNza9xml47Srfy9mcfjwsZywdQO2xofZ3T9vpIst4L8No9O3P2RgVEG9t+5K76sV0c4O0pv2fnaxD/c77q+chxzncAToA2DLXKT35vw/kXS50yvAOY71cdxPQc4IMYtIDTKUpNUekYtBCvH2Ylo0z1zJ1M1Ua5S7ryZZudWoB0NO1H6XDZcADDHI0PQOyubpfi4paPd8aK68WxOzsXvqhwiY/47/DfcUTdvHYF0IpSfxkKmvnUYhNdqVy5ugG1SS9ofXb9S7kz+X2Noc9oeGUFeO5DxQlvL7n/aUQ1kxC5Ui8R7zA+GOwkYXLL3xSdw/ksGvJNERD+AI1+hoDwucY5vofMfp8DTVJT4EE76ujayfyg3hUSZnYC82Oyi+UKNPmuZGZ7mPMhIIElKrxit9Oh36F35N/6zjd3Nx7BDoC/KEQzYbIAdBGa5MRMIpRGTpIUf8E0lPvdP5WpSeQAqESoz7CV9SEqFcBBTVCpFJK6q2vcudRWYz0cTwKEjzK/pFWqRc47Y5dv2Noa9kGo010mYcbJCfeX3H+XW/xT5GRv53nVp3zI8TrJ9EyJxOWsJEw0DqcBjOaaOoxLXeq7LqZ9BXAtwCv8CUSlDI+Z8ElxlI/F6oX6V+rYE2XrvPr6f1ZRg4HRtzi7v/af4deKPxsYevfADVtembnwjwbortpwYytX6BZ5Bc/J9+6Lj61bydQsN1Ap6byHlYRItMOVqrDEuLMn21s0qNf6/cD9+cfua7KPrMkgs+Q2H+Dw5D1O6s9NeAE3kVmOITsnjO2/6Egs4Ej6NrudNvfcQqR9haakMyiLSF8T/jJ8mbM5Q08eF3RPjwaDg5o853Cwekj5fT4ErGgrdZNRuUw+1pqV/JehpNzmvkmFtsewxxi9jL6x3WwOpY0n2Q4kUROUAyAJoZWWDq9EFBuk01gKvcPMkSTmWSzu2hr2I5T5ncqF2CktTPwc8GTL068n//iwybuFW7PFBD7wDL6UKdsB3oGXPOql66X2tpdN0hYa67yRJV4N9oHJLgC9AS2Y5+nG67EpvyrSXKXR7upQ3DX47eDHR+lOeXvBcU7W8XZ5u+LRLR/f8G1ZD281jBac4JS/K+3Ju262YrqYxlD48O2ZUs/G+zzgx3ZvH8fTZwJPtGPbZ1Dd4K37WBWX+HIs5ymgi55i8/PJT49wOQvtj6EemC+HIzEYAC9lAmQoeV7xQtUQCTBL+1YZOTXTkZkCdDENKZkdM9lngn6gtavBVC0tffK9juXZtCpJOnv5XN8xLixfCJYqA2So6oWX3UMkoFzatSLuMZ1/8YQy/9llAkGe8AEHO8o4pNXxzYo5gW7mPR/G22jsw9AvbbK+TG4rVESUJr1lJutFQ+GJ65VNhRiv4Ja5a533Od21ZVwXxoVSKWvg7+Y5ML2nslzJHho7gC6skK6f7UzDdD7gWx64s4GbZK02gGyAYefTmmRToilsICOzRKZaYHb0Tni7XpvqlHRvnrfR6B6ZLEEuG+fO9rQ87uK1X4zSa6Iy1D0UJ8iv5fXQo71f2PghfoJMFpjljh0b7h6F0ungpwA6gDv3JOuCTLZO/f9gPkl42yFKTEU3PZBfwbRBJTqU6JU0496r1uqSyos4ArPRuSRGeCR7fN90z1VbTanBVO3D2I2lfmDV13DrZci+OBzL52cK+II4oWaZWhg3drWql2nCgtQ5ky9YnjFuGjmWccE0xc80Jh2Qxi/X9GiWx9+PRzkl5iJb3p68pJm/lps6MZWN7h4/uv6+AWEyWHDc+N0oW2zucFYnln9VxPOnKPL3eqVRiVAszztxBm2hzJmpCcrypvsUPL5zAjJQJ+JSm2UjzCw5xISZERJiDpGTtxhO6Yu0s9oi/alUo25WZ3xOUP0Y0DqAxwB0dNb1f3KNxlUGY4HsZnqVbPZb/gQ/R3CPCARbBDmSkeK+/yWTZ75WNjk0B7vJPu5HXb9MliWXsWslz5K1jMy38RrqqlZeERfCUZ3vsGJxPkCyqbygYEWRx2z5D0D9fwRrXYYoO4WWQeqN/W+hT7N8l2ZFhaSkWY86EUarkSpGLlgilMdES157PoW1t7wVyEaXxqfWWyBZOHAfrzd+CWWLdZ3OTqfWfU54LhV52w/9gP1SehuW+nHfy4aX+H2/MR8MkZD8E82mh4tEp1fzX1ArPqzzHX304VeFcVZphr0NNaxeTl0RFmEsTi7qEfv2n77Rh/P5FYyN2Mx8s3CNpWu7wCbYXtC1RiD3P0Sln14rcyZyM7iJCFF0kyB8NK7MFc/nJfH4PDoYSSmOTFyDWup4/+s+LK2USv3AUBrQ1tndrcjlW4wP5GZlWU1ZudHX5VbF9XdE/JBAIdzN5z+osFAhCPV/8/mXuKqvkR7DdUdlB95q/hHHpQBr70jv3fj1j+GcIZp9PfQq9e+WXbyVs6JCoonTpqLVSEqtRnExcv5SoTxGIXntvSHyYlb1kYxyHwwvtO/hV62NDtEjP16R7Qes9V3gFduns443aSa2yCu2ngJgmXWS9Djb7DeIPZi2znoHzHDRpYdtNsd5beFdHeV5aztWAq/YtjkZr/KN/fBwPlVhwh3zRCV5s9VmwKqWxAyfo3rjjXfZ/Qg5AUwAToQOoL1BPwF+QkhBTVIaUGz5EeA3AicV/nytlDMR8XIgmNpFZ3do/CgRfd+bxPUj6669+PWMZBD/fF7bgus8L4LJAsnMKfG6T4vyfOHxr06vZHQ3+wvi9dKP0r0aIathaTNvwdHu+Wo7tC3jZ1+qzyJmt62tXbho1i1sO7e3/+eehdS5rfV7YWiRO1BMXiTwXxRBvWd5RW64rfAU94EUN7r93hd1+0e0zbqX+2AMi86/+UJR2mfXePckVZLQI5Uf/z/y7kTBTMt++OXpJXUNvMqffxM1MqU1lPjqqnw2OInh7gdHfvaJh838EAYFRcirrWAQvdpdhQBmuvgRTXFK+eDiiS4ptr/NTst644c8cpIk//+ydRLhH/4hSXUgqkYez2ysroZCbZAr3yBUXWfSmKdILjPLLOz40+qEV+FvitedWV1CjyVaU42hS/nUJLIBJJEFJsVslVNbURFYCiwux2lwCLotL6r9dt38x7orYuupGNbPz1DDdsvXgTijwf2pOLErgWviJvIoBL2C8Ii6zLng/TURJQsKt3x0OL6sEvCEDm6t9uyBcM41j83NrqUjOH055T6laE4oEs6JlOKwUMzv1632VGNeeqo9LT3POPDQPQISJvdBS4tW96xnMnKNyFVXWYFOXerlRvKZ+5UzgJ5zduWnn/p0W2vCKMBn1MmW9O2npCZzTAZCI5SsQ4sob8ICiYq7Hh+b8JGz80A2gLTQb17EQVgS1bzlu1JIHn8+QsAl7HuXymITna5aWecnDuEWC0Pw5c7o+VZkKqfy8M3zNR2/x2KmRQcyo0e1edsQ/oHcW2esPPTvCGFjzoaknMM8SafHfvRwxWy5Sj63gtI5ZSdkVFb7z9JWiZT6MdNhs+CVI+CeT3945OTPsGxk0tPsLnrru5fPLDitQ+pVZ/Tihio7/+onD3/F2pq7HoTyoceyE7wJscXmMhIiiSSkG9uVQKFEromL6CaRUlPqDC7eKNkPpGE4oUxhyV5UjagB5QeND2t9F/kWPqPLGntJyHxGaHWQCyfz8pX0TOfs2dZrLR8c9Re+PrHsirIKx1fX7CNrqmO5dtaIQUtjY+xv3rM7mm0E0VlaWDhpBIMfjNgwvFqv5vSsn70/rJz/9p/Hnbs1TTwSdzj83bf/Sp7OPeqk/unpm5LTSGjm6e2np29MEj4zPcFShPQWWGHhWtDCCCncyQ7L56X1PksCg5eFFIbQKixme6Dl2kq74Hi22fXMZ+HCzUlHzHRlb47e9FeQKYvn3NiaqmAbEbemkWtGoLZgtXUuePzThuds+NmGTWnBBVSkvIPP3/gphIYRujgFX0RoD0JP/Y1Aavr90QEKHUJUAJkNmhRl/ctYGy+jxnQnewfQfyAkneVP5TgW20o9lj1dja1dMaO/GEklYSaRtqWiL66m+azQ11o80TO4l7pln1L4tFDoue4sEuUXmHYlULwkX3wQYerNUivYGAnQKTRIsAjWxyQae9Kiy8GLAGluVKp7TO3dSIKfwLgMR46uVTJrBy+kxB871aNUBeeTP77pPOcl4VLZtkhKkU5CNhXAMsu/bLbE1cSp1MVxFpWHf0acR37px8nqZySJN3rss8Z8OV34lc1zWijOry+ut+dH6FoLv5YAhcs12BuKdREXEqlAd3619Y566GNpCpIyc76PFdbPZ4uk6WTyBH6Ir9M9TTIt59Ma+eEnIkF3VuNXY/FGXQKQp1KZBdWHN0UiZ3h/2ZmXh4t4vPcRLwGhi0sSVkvJlIjyNrb0orIYD73P4xVH0tq1S8q3o/1f3Gvm8ZjYrSifDuXdi6ISUH/jxkT7/cFA6ffHgmdyD0WsoKohu6pj8C4M3+vxo4f8Bj8KQGdAUhbG1WGSgRXzpVNyxPQ2kZqqaSWPxAH1g3csYVw+VlAKuplmD4ayAvAk+OgfDIB/gL9P0IAIHxNUnzi1HdGlbS7DO1qa63MPsbLLDgZ1HI0H+NhSQPtofweetegEzh8q64uqZE42szfXN5s9ps11IR1SzlpGMS9XQP62lOHH6J0/YjgBoCQnGfOX4e+zVzMl2/NZxpTaq1cAffPdyL4e4kLmy4HCBzcQr0cne1Zo9Fs9Ao5Sh7W5iUfl9non4796MwWooMNO6MBkCUbXQRBUBQg1F2kQym7ZlBrw8sqAgHjdqrfbqgCJI4DpCczUIc3yMN8c2JN+r60Ww24Au4CcxPVoFtIJLVdzXsHTIfOttn52WtZUIXPZFuFwmHoziMTRj68p4PTE4j7rw9lewtnl5X67HneCb8e+rYqcJlGAPOhahj9UOva0n31Jt38dZHB9PunTEVNQmensAiI+IGAr2oYq7xr3WpyGlw7kzCHQpUq29xaCf1AvxBmJ18/7zcIep1r9PAO27qbjC373DP19+gMBo6jNQyNBwlsf9+xOUebUgbQe9TKb1eEGq4ISx5Lx6hGfzp+2q/nO7m1FJjph30qcRDGI6dVXJTzD4hza/4bB6/NJnY6Yg0eGn8GsZO1IGOjaEGH99U49H1C3UR7rD7CYeEhyPz62ENWGJ5xtd2I7NSVNAqReRV6VhqvR7nwFCPBOiDCGYbxm4XfJTmsBwdQjCSBpgrjOIp+x9On2MpeNMQFEW/oRyOh6s4nDcs47TQ48eCRtDcKrQYfimMn67fbnBKdfHNAEQQq0QYqOiJPN334KAY47g/QIKeNDt0IUzvdp+e3Ji/6grQNLOA5dc9fN7h0LI+2ReZhxfV4dwSjDqZP0TWHhFiK6GAWjENJNdFxxQCEgEC6lMexIhpOEw8GnLxZyiPc7K0AIUBxADYep6R3J0x+gyndw24+XDv/zEyGOz/r99q+MAYVU5wREkN4+KjPOFvgCVP1tkOmXwgK7ULth+oVV5H48sLrAbszGHQL8KSwcFleKIxL7DZ/7pqAI2oZbuOCL4N6OOUEQjaQVFEXwMxiVS/ArUwr4pLTxgf1u7HNTFwK3GvPKJJAPOgFCg3JHVuULeCPI8aYuBmFyVVwiYjaHwnHBPIurE7ZhFcNenkbYc23TH9Iw4cnmjEsIEBQ3uNuvsAHlMd5YSTZqUd4J6N2hG6jd17F5NQiJjFIBGo5QTiDFKX1sdL7wZRJXg3IW6YiziUjq927rMqlX3+F0RE70FLpETTzGMEj/hECOBLM94KurGEHH66SHugIrB0DpaW2J1lWgDQikf4ZkvXIaIhV3fSQDfW/0ZTTeT1fITHcUU44nu5VlgXWfJ4lX+2zw+R/nZ4gmXiFQmOL9ATqDa9a+nxyicHl55pyVlu3/eiiEzmOLwUHl3FCwMG1zoqAZgtqguYYDrtQFk+Dwc8IANdxxGRvAC88IPNwedwsbujKLA8+tse0b2qSLJRNJkiscAtKeVqqE0TErn3Nsw1trz3DGHr33pKCQawjZdkePWD3e/J6WxggawRjUO9hIUQH2OgvLd48XMCMaTLu5I9Tgq7qDwwEd4RZu/7V3iD0S3RaJcrp9yEPncsObLjG+WQ0HeddSDG95ab4R5muELOYVETjGWeQOcUV7k5uOR1NvjCgzjpzIGgYt9jW2iaflLOP7ydhedDSqN7zW3I/YeDCoPhmc26c89WYIWt6MTTD6BGkrc5Q2vLhQseAbIHazXQI83yg4dLHAKZbuJAIOEGzkaRFUJIgri3wRpc8W5B3TBmpcM4XGN/UXI8T6mAlObHNy01GEFjay1XcZhqgshTRIV0sbL3bbW9yyn9MZK7wlIY5VndnFNZWzZE7gqqQW3q2T7cuoBCD1UjGoQHJX/9tbCMAAKBHmg8aEXU5nkb585mCKcFzTf9xceRVpNq0SeMCqnOoslXfd4J50JEnRk0pIwwhJ8EUqioxOM2ziBnmu5QLNh19nC8whbR+QeA/3teWFJC5jmDsMaAMdtl9oG36iQIl3n7maFGUZJiEUZWaOc9svyCSlYulIQ6SLPKOMNg6SZGQA0p3gN4VUbHsMchx+XsSRrdrY/MCerhqUCq6lWtS5vvla1kCTpkIqGXPLklK9BOEolr2Wni+42CGUTUJ05CdSfj9yMgZHJJE1gfjZU1sa3LqN7vSgzaHjnyYgWIdfYJrTGl/j9skgYosA3cmwjws1wy0ywHhOBY7/fZq1AFm6W95qAGw7pKVblnIyZJlcYWkKr7j4NAUk/y17w/RyvvDiDBuZnB8AJfU97pW8EZqAr5xhLyMIzg8CVnziS7toZ3MJbYWgW6+qtrE5apPWRa4vcSldQaanUhaIycZROgGfYHCow2LQzUi4gQ7CSmPMY5QHAklBWGp0N9QwxSfY4teoQSQhAm+q0JIkaL1i1M/T9RWuZDKRXLEMnhIgr6RRs0O6l9cCVa4WNOYGC5IhazS6MCR3VK7bvSvmpUIsEs0fLgNbq9bqEn8B/1jCAF4ZyrKpM6cnRuoaAeCkUgEkXqI5t7gLcKQt0YxgfDnzjsJBt4VmyBBSd5tZ3UxmeHLSlLrGm7d9zvOQiEQiYjj7i3MNuCIDRuNK4OiG7F17o6NIwQ8QrnXNkFYSHFi5aV7bl7he02T02nFHughU8qnCkLiLCcD8B4D0J0jDo1/qQ7zpjMaMxkiXSX2NL5JRbpc6SjXXiFnkYhF1DQTXT0eks8D5gZRGhzvnq5W7TTjlUIgZfn/yEpmzXb/JNdIIMJYjXtgttYs8pu4kLOKTYdAUhueS2hbIGVB33BUYXhM3t/z0qpmryhuecgpZ23By9UOz/V8aNk8am4LEDQVEmG4vQrxIGwMclYqBmkn4pTQKoLyz+DmO6Y8t6i+17vvmT/F5Myc0BQGp8C30Yzgmlo0h1+i0UvTBXH9Cfe6Tpp5QSce9NGUjUGN6BPc4IKztmS0XWeY7lTD65nc0PgwKCO++tBGNtwC8jbfrdpl81e/vDEY0BaBeBoGZs7co5rRarSFtPi8K9T4HbKvnhWW4MqEuWWfbM9kNs8WtkSf+ta/2pXHMuWHQK6gXOG98SMeIR6TJKy2gWrQ6A04H7Q4x0qHZ0dayg9Pqp5K8HGGZ1FJ2wbELOcu0C4nlfB6j37QPHSvI5mx5e3fQTj2XClFq2Ghye+agkQmKronFopJ11Vst5qFvy5wmm5H1RQ4D6RuuT/D59slmOhGkQiFNzgXLbejHL/aS0DHdn/LkaqBPkX8exELKLvLnZE+/uATQiI8LdmEIMuXPUNW6R2stkFzVRbtI5tAxDHM4BLiuISZ2+uLQdCUuM8TJ8TL23y/2D8eHZd2fx/MiRKkzLSHNaa7oQt+zGS2S8P2x5QyZJ8QZhDT6E488smV7hKr6tyxdhEfigsOBvlLIf1HcchdVmMl+9wOMhtrehOdrE/5Fe85yKuFsyz7Nz5KQbvMtifDGB4bngmFdmCr0S2QqdOwAO8Tp6BClh7P4DMkJxs/epmNRh1jdJ5c2ykPJK5xDcIFL5RB/oiVhsh4xjSUOxzgKztD5oNidNkC8V1zuVogdi9QF6WjHClrq5N1pVI/AkEQcx2O0vlUSf94VBk3s3g03HPsAa8thuirGUDeYKc8RPsKxhfQNNgjvIOSeJ94O0CzLffU5ebpgiB0CQdEHpl+OErUfWl00m/LsRad8h5v5i90CIR4pOPtz0+1KiNmU0fXgSXpz6iyN63gTPQOpTxO/Xi8GzGi3kmA15uiNoTGlYKBqEgYgn9GCXxpN6juMk9lWNiGA37WgrfJpvKeGfP74TE/GcFDk6ZVBbg1rn51OcjLm799JUfwNtyKQQW2KukC8ENAPghlopxFOjoO3yuSzkEB/gHm1WOz0BVHgd/EYQjQtImGzZtuxqwuy0CUKfGCbEcK1jqplyraUbHBlY5Zi1wbjrZ5ygPGgFGC0OJ6nFt+NRmjAg8uDirk+r2qBeO5E21w0EEqozZP0msYcJVfLOZ++KbOYE46gUR6jjQePf3/Xh5QQ4gqDbOabS4OJVk/4m3iQWPMokTE67aemLjMOZOuQh4mPOnotkUu+K7xVdNtaeUO8bIN8DHLsGMdE8DP80oGzPsZOImhGir5gj7aL2nGvpPa6EkoYIC94f3PYHZZ5qIs0iUIEUZZ54Ldi8zmw2Yce4MgLM8RJqPLNDuaU1HSlv2QyTKQxcc5vkXutNu8DrTNt5XnDcMK03aUQL5KE1nyvy5bpmU+UbnF3cPciJdcfw6RcaE8m87rbMHh3WaFjh4VN/d26Mz5L6rAN9AlC46G4F8WbpPdSAJvowPnZWjJGT5Bh4QERjCwPAhdurcD9xj3m83cE2nL2LCmIKBFjDgpvX8y3exy9NL1Fe25pLEIB/AG3ocCFuMf/9YmsK24t78GJZ9QtynuE5EZuLrCXyQ1RNxMJ+t29ypNTegrh443TUaFK/vE7YBKKOC54FYekV9VVEwhrjPqk94FeGkrQynfXeJpmXIl2uSigPDpEL3UetXEHf5Jq29A13GeRsYJF2KWQAjOZxJvNoSNTGkQx62S27tPa7GmunT6dVw2iYZfTxD4n29V0296aMhnT8U4q6tp8PEVXh9898QItMggwYlO9b/d3GlW4AmS0G9KSMsulmi8zv96RhV4pIWqr+xTzNC84XJVqNiFnpJMEst12ad5oGche1LDeG3rPUlOqJQSaMemS3dxBcSzltXvXk+mlulvcEY4LhmdezTUE/Su1l/u+WaPieOrrIo0Rx5bG30c4Wlsb+zFxiio71yXCxQLatGrJB3praPVWq30sss+CpOR8buLUr/V4c5gocfw0oztWxx67rFtV0sAan54BfThJIzAML+KxZPua177jTCc4NYNnkbTMSHgzBaqC/AHyeOKJqsKkCtU44yd+u1R7nxCllbxwubI8ksn4CqiyTnlSq/nYhV+b4r0gMSM96jksQ8LPUe+YGULubnwYDD4IO8Yxu3VavKj4xaDbLlBKm2ORL7hbexeEeoYywGnJNberH6ME0r1GbmhQoWTqy6A174gHHR6Ha1+SnPg/pkjOZeSHELAWngl3CCwWGaQeGS64aPOhMFi5VbWvgAbxdm3j8vG4YxPmnFqbYyYpV+fOJ2R8gPBXSIgVBrds3DDAwKnN4h49Hm469bNzlP8APn+4vsDDXDC+5ExwTX9MjHaOwZRhfkOGsgsytz12wOaO1npITJ8e2yPZL1yWu5iLqVztcSUQ3lEmRlWnb8o03niubW0Tc8e7Yq13IgkZ6Zt9e1FVbwRS0UfR3UXnk3bf7wsaBz7Q+0P/rsxBJbYZaO+dQn13bWv1KKis2ChYz4ta682kPvqsuNtlu5qv7Jrz2OJOcHqR8rO8lmjQ1XIz2hcNQ2/VW9d6ESfdzsvn1XmREoYUEli8SJrmZpmEHDJOIkWMo7m5jiLOV7NRV5MZLNYd7hKCVSs0VGoMBOsEu23XAg/Fw7Z9/W37VgCe6B8QbNQWsEZ2Kz4vkb9zpN7ilgSdORXvOOoWUUB/tMShFCmHLFI34uYvNLRlFl/JlQKeelSLSPfLQjXahtSkndMX7ZCFvBfURK7nYr8OpHUBxbqlKJYAFQ/NugRzd6hcCipLir/9pBhJfFjG63yti3ggg14r2MIywjyUDjpCPgiYupPHuXsABD1KNkZP5hDN3olcehhY46+uVMkJ0lf/5oSmT3c3f/rKQyyxB+cEw7o/Upc6qKIEBBOfwfEwPlE1NDDPaIHR7mf5GRFBOcGyoQbt0gRkEjNgDHW0gOL0VbZLSWYA5JzPIARMs8GPi1wBIlODR3w8vbKOjDwXPCyMgI5MZRW2mkk+Ctes85lpxzQ9rsaNeZDVvsYk3PjQ0YfD8OoM4hrk36LAPVCMvSuKygovREl0aLwi4yy81SLLwRwJMvJOJt7lf+UIXdyLgT+jMnatISeBp51E5+DLjQHaEinEwPBmLcndoT9awedoq5ySCO3w7mp7G4DTP/ukCsUWCv4R22vgxQzeKryTl2k9b+xKXvN3OIeYfJPYAl9kSa0e+Q3ILQ5V+1KG7HXw+wIV78dm2dYyrs6X39ZXZVYv7ULXJ5v+WOhyt9xGDKBpVoh3lNcV1GTCynV3t8GyJcAxXDIUpAS+RTy7QdwK//GdYQJAt2TCxUWbItSIpYJ4vb15ngJW3A65PoAX1BnAfoIyo4UXbXonUt3f6O6AKgpH/wkVM/9wWufx4tPXPkmXPdPfjSlFAt6hnaWlrJt6/rJOjRkhEZdy+QrZg7GPiOL3X6z/a6p7bVdUs/2bzmvI8soGFzweL84WH45PvJsLDvBCBt59pg7HI8LoJUrqtg7dd/FF4sVxFxcP0Sbx/HR5dtwfdgufhrhukgcsI3KouERaiuUL27Oa64IYGMY8kPJC3A0s3yQ9GPDeEz8h9HtOFihL4L9Uc0EcOU9nlzNBtyilsV6wZEAvogxNaPfSF5WpkmQgvYxA+Xf8vw0Qvgf+3vBXfoIHw5Z0K2zk7/qj8h7fALj0RemxCLhxRBTvSfasrHdjKYIKDABAgMJtQOhS/DF5fzMUEZcyl1pb703cFaLX4j7gI0OaSOoCCfWn6wuGtpVsv5QYZKxeaKLUmpV0XnJsUvkzNUdcNcypKDwfZOS/+MaIzx/6+jJlk+DGMks8Q4c671SjErUqFctVeWVv2SvSNENBI1mbpiCPgB0FGA/zJ3orWTVencSO6Oymg2VYqg0EZdUurwl4NaLos48PO8RVtYCRwp/tEFE5H7ZKnyIVyh7kq3VFwjjdgdJZqiDWjzXzeKuYj/czTYVXSVdvVj/l+zkP5Haoa8QCinfnvx7Z+NLgau2UkCbkbJ0h1wV1t9BcFJZbQnJEXJzCvVKmgzyl++BqbiRWFN44Gi+VzluuLGbuIXk5Scw9uanDnH466Dslnb3aSS5JiRerFHeOm0mzmhq+lB5jfwUyvOcPAtnXn9bmu1qEkjXlqlVrMSMJQJhE/7kbx+aHPRlfJdM8+Yi0n/Mdkj9EwB7zSf7S+2uN3MtKVSW0I2BSbgupPxt/GgLkD195I5iYOqwJYEljZgBonNT2gZfZI+lN90lOPUmsgTSSzNFGaGiI1FDrmdoE4a1A3GeczqR2S/m8Axgcyuo2fHK9s6VLqdCSAJKtAkZmceh1hIBMfh2Dip6+ToA+tV8nQ2RyXyeHG/s6BSKZmF8YAVrrXl3XmUNWdjfNdNVGZt0lv0431p6zTiprZVtJJSWVV1UTbTXXWhMdo19UyNormZpa6KpmnQyX5rLpGOhlc6qsGjG9yFobze6aybWe8REdK5spv4Mm2mkhZS3V7PbaaMoA0MwsW6ad0c7gulNwz99Dd9Z6g3UUMlyqnuaNs6XhRO1xVsCupoFtAEutN9PD3uuzGWExa49mdx3DsGVfcy0upQlgr/KlHGnmggM/zzKqK6kSp4OUWwpZUTA767N3BlppXUOlWd1IPn0mPLKOu01truOq68NaOFbyJ7yHJHjzPgbYJdZS5fkBqo1075e27Cu6/ZTXQRqGpU8q7WDgvWRfAqNmENot8wcOKqjhBW/4wBd+8EeAQEGChQgVJpxGhEhRosWIFYeLp5UgUZJkKVKlSZchk0gnq9bMgBkTM8sR818LOwcnlxy58uQrUKhIsRJKKqW0Msoqp7wKKqqksiqqqqa6GmqqpbY66qqnvgYaaqSxJpFZZrgRZnptpInGWWOsu4aZZoLRjnloraU2OOOUjZpqZrLmzmnhtLMuOe+Ci95o6ZrLrtikFbdDbrruhtbe+WCMttpop4P2Olqsky46n0HoaP7931Mvb/XWVx/9DNDfbksMMtBgQ7z30V63bLbFbQ/cidxW2+y0y3Hb7XDCKOscdMj+KIz3aaHiufLlWdFpZY+bbfT6Aj0PG0gvlLWh+CIo9wGG07W3ED27dBv934F6t7dAXvhajGBIn+z6lqv8lrsyeFm6InxxKWXhZ1X+OIxBHYH65ciXvziN4peJNPqUb3P+ZG0RNJeSd9qrGoxkI6OZp3Zadqm4kh1aVcAy2zj4AaURL2QTXjIUAwAAAA==)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Saira Stencil One";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Shippori Mincho";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Shippori Mincho";
+ font-style: normal;
+ font-weight: 700;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Sora";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Sora";
+ font-style: normal;
+ font-weight: 700;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Space Grotesk";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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2uUFD8HLhSEzQvY7eAP+wd6xoIKcRGJRJHHgYR7QKml2u++8Gh50dFysbBltpQpLtx9tPRc2P3iEAzJI/LM45Ao414sxf3j0MGRImLPPQkf8eBuAAoSJBqgPYoLY/IRgiG5TIErkoBiQYqQ6/5sSSiXPUrrdbhpb0GEZvbAEaHTbXZW85x1FJkTogU11y2Z9nSrjjKO7Pyo95h6mL3yzpfIsgUKHON+wekc+CO+pqMGs9KDW3JenAjbB58S0RuvNzca8NJbnyPFBGaWcFHjWyRYEVczP0gJnGMrGROT4ImIICKOLBfWMHhG6i1AbkV5WC61YHOY/KAldt40UaIUYIC6o2YBDtkWnZPIo7Fc8RZwNuA8R23/1wC8gVx7Ofz6/+/D7KY4rgnoTkC+qQ5gTTikQRxYdnfAqrCrz161CQFQcKCCoQJAFroHEB34gT8LokYCjmW1lBBJL1iUVklrrHdZp263PPKCBW2VqdVRV6u/zA3hBM7BNWty6AX0srSMtqfVtDPtS4fQw9d8RKVWFaqK1ZTazuIDi9C8hIgWkzLpTuddY3TboJfxzpQ6zXgG4A1nn74MLaEVd+tDB+/A/gFzwbgExhnA+GFhMPYH4aPd8/1f337+9uwb979X7jDurHDbC4Cv97otB/h63dsjt7W3dt3afct789zNKwg4GnAR4BrALdIA3gD4FPjdRwB+3X387DDQ9ar+Hzazed3voGNWIDg4dbtkuoQwl4ioy846b65OCA/UM5Z5wXA4zLO+m+MRhxxw2Fjn/eFnP3jtcii/+NMVF/zrP52+arfENf/40RvHnXDSPMNWv5HTm7+O3iD/zZp0xr0aGjVp1qLVfm32qdev10vGSH024K2J/EICgkh/hgMIGj5rQNYB1P5AVgRLfQWWfwPMngDtGgAzgDURGhp0w9hYcVgsdPWgMTDxiExCKNCj4RwcjYWC/aGL8dIEDVn68GFjGSYYtQZieOAHdfFsibc2OGIXCizGKCO0aCvGiDAhmmRCoVS2dBdOk4gR405UiMBOr8xx/hYARboqsmBCXPAGA+ryKKRjhjFVeeqiIhqEmJaMzLeVZRDJ9WFyurmJq0VxEd0yEaPKiTvJfcyzKMEf7pIRbOKsJnW/beCu58ZajVXnkXgtiqZTk7Fxc+xIh2ceouVJUvxl4h2ZWDOUpnPKAEtxfoVMDPMzjCjRQTnx1G0w1Rs6BiZfSTLI/B0uvZjrMtzOVjmmTVQqMgKEuLUxcaxSrCQhio0E5x0Z60a2JBq0ooCZtR4Nf4EB05oQGQOxG7a5VRFlPG+BVjcY8h0CVfnTF77DqwSgu/a/DhTNCmhNCHU+KF5kDqaassdX9Pakt3cAla9qvAXt6NMAJZutLT7IAXDKsSYXMjRQCmsV/0t8o6v1Qi1ofcRz/69DdgyCadIAXeUKILBwnQp96ab9AxQUJXGHQAkGDDEpZHs47BNvUzDzFr7FDrdRxRsVfTu/DtU03rJS64woFQAHk2CbBTVl1A+3uFrTNzr0eHjfmNOvuq11pBOtHnHNRYENClOJjBLTVmph8CJoo8aOo04eoLKWGRplTHyapQRHF2zpDjRCwJMsYfmm2vEC1RKVg3nbWVncUGHPrwEESDXrNLT6sKGlgQsEKxMmHaMz7IFZkm5uOID6HLLXpw+05+1oc4ayJU48VvCI7W9F+m6/9PZfFbkDggL4kPRPAgUoVzgFc/KWR6o5U0oHlbX6YRWP5zOcLATF8lEBbvh2ZvhAgOzlUSd7Jtz/hBTS7jiL/qQRAHCfdttIHX1fbyWNpR/IqlCaVUY9BHyqyUlXLoEQqzKnO/HdyIwIpF2H0jPDQiuj9i0/6itzNqcnhb1otESL9OpGYUO/JcTf0AufQPfLlxj4EeXkoRg7XH8iAOAcnpTRsSwEJ575EjTWwlChADNvENED54qPzLxtc6P/F625OgIeg2dsN5uadjcoMqhSPd/zGjX/TF6KCsUHeg9jZUg0Ff3o7AZEz/QGlhVkTlB8n40h0pMy4mYpgDIY24s6R/XNrDXokBW57RQd9zh+NqSkyvKJuEY/Z3oKwCNf8S4UUFn+KH2GuBJz9Ya3aAjFwltdEQhpL/t8QULHPRzsO4wWnWoo+j+0mmjpHSBp1EZOq7yV7GARrzTQ2p7P0BGQN6JtlBJzBicRsuRXc6CEqJUZ8rjkPO4c8jG1uqM8uDWP69ICcX4B3dMnEoRkktlUFeEuQ8CHIBHi0m5ilxoMAPHhvynLQNR0GsiqEQQNm+WDJ3wYc3liaGlGljl/DD2CRzqglFzmaaSLviwDhcw1qxDOfaNMrjSOGLUOO0PD1f9Qs/hTxgGDxWhrpzmAjwEiRGYZGs6IahfX98wrRlByCpiYzE8Y6kbtC9qSmGGOPImyqMF5dqZ57NHp9bbXh1BTXoW6y4NQsitUyXWgFmHoohemoSpb0+UJKYRoCg3RckIKytGJgeoxRG3HcQyzFZQTrTf/hHJuIFGev4Yohhgv+0KWoK0sQiPCRZQ0BYiSKARNF7xBYwgppoBKvmQNmEl/aZhZRXtO7TVIPWMDHM5RHcjIYFl8BAG7Mmc1K77DY3YN7wU5HZtCU6mscKh0rgyyBD+y366vxwr3EHfT/vUIoOiN+N4Y7DmEHY4WEtW55piboMMlBuSUMcnpB1yrWPtPfJzoXW19/WhN8lK9+jGdtxTN/BYU4ykz4Kgr4B+kQJnoLqKnM5JKsaqQ6AtwV4xZtLTNyx2hlawYdOd66c3Kd/5Qp/QJIZIWivyAiowiFQWpPiNCbq1W3se0H0ChkzZ8l7GM+qfHZDj+WDkb9w21NfUHifKgWmumtUDeR5pyNaAtdemQrQ/ao3WidUGU4DlaWFaubv1TbRX3MZDMo+XCdl4taOUJfaRiLYYqBjPagmokHyoaznC2CYFJ97UI/lVBlAf2lJnvk+dTE0VBCRbIogA1cC5dkY8SwklVGDUZAZ0JFX+jJtY+zOIxZiO8NzwgofDw9lIl2eWFRTPEY2EF9YjeujCDVbwzbqJ8497l5SL+oS9+D+unKzi9HZXiG8ZQPPL9aISkosEwFYg8MhhYvPUGwdLMMo8WtCXK0cFgc9DCIXM4hPolvNEQiZ6ZQV1fcYz3xmxZ1Bae7ujtwDouHAJUcftCb6h+cktaGT6RuS0S4uG7ycT10CxFCofaWOY0Q2FvEHcc6xWnaqhz6z6HrhkQeKIrZd4PEc7y3vfQDPfF6beogqCCKjEtb0L7K04lkpKUcZbyqhtpo1DBSfPTmTJaWx1hjNrVglL/Xr2Itw5dxXNsdolmz5IGx7Z7PazhhGlKKV0mE1k+kZ6vwV+D0zst2EIgkOeVsVLX28ox1Uo0ior0rgyR3gBUCzXOYw/IRpK74sZd1+CbGdRdilnIcUnZEKUUdYMnJ04LctyDBfdKBES4a7ulZEnltst1uTaKOCtoq1r5mRPUXe61Ap2bQdVvYJrFA+wM8XhiVWNdS7Y3m2SWt0xCuyuLDkMrjQeO89jC/aJt1njZlQDndbza62soD8hq0Ezj+yrOtwh10dCbLdF+0Q99Ut8I1GnyQPGDAIKkFmSjiqI3QALtLQfoVFNUQ7WcdkVkyWTbjy8BUeHrIZAaNXYSN7UPR41IrQd9PitQLb5NebWIHZK+ir/V6QqvJ8YqTsygzhcc8tGkeSMuO9oiEB4OkhP6CNSbbbMODSYHCuFAtLPbYnLuVY57Ss0PWvvla+UQ+Pp2Jg6HolC8G5EWs5dMLzp785WgZKglGU/np9/pLZrrDsitMrMWtWUhWsQss+gQJMumQ189WHq15IZLD3TJVfWuek5P3kecUV7DrEj8u67cUikVW701MomHuyBYUvfa1zM/vXBXQS2QvjV38NAsqnpAeIDdf/w93sFA70nXpz0JU1yk9KlymuLyKXhLyN9E16lDcaHpjOcOBDOpclUSK3IHcbfRaZTTFQ6j6W5AkOsO7Nt5585DDOvW3rJ9YimZ4w93tLS096en0wcykUXQn08yJ7bt1A9KwY7DO2/dvP/wjh2tnlhXd3tme193qisGAh33E7HPLITlqyQhmz5DkJ9rCa0ODCN9q6zIuraubdPUaM/Zcp7XIzaMY29tDrWTBddd9V6CgE+tRitAbEdY49KEvV/n0vV3bR5kkStXrehXk2qbPYg5dAHk9kmikiBuH+gbDd1AE9wgGw63JFMrZGpY86IOpwFod17cynxd7M754BZ49pZbPfCWjRr3fO+eIj99fzcFbwNect1B1tFB5/ql2x272FKnU6mx1i6340MFw5KW6VqsTIu+tb3RNMvquh/1Iia6iUDs91P4hdr8Qd1Cgy9k4VQhGAh0VNrSYk1ID2E2/zVY9oXkc/I/nDzudw59lzE3Ysw24ojjMtAyiXGVvT9UQpZEO8OBEIVrGwawqs+Mr7RJlG6DQU/1ShzOYZk17hKSQsW9brYMI43aOpOt6l3jQlKsI8xmU2xYDr4m3CFKif8MA4L0rdBYBoOvk29EYhRJWjDyRvj1YGYwpgFPX5+LPrmNeRGjkyE4MjIXTm+BN245vMETxPDSdnjj9nVuB9X/SX7Q2v5gNfOh6vTN1n5d6cfqmY/WAxbv4wPJOT/8EpO6Agj4DG35kbHGc230gtnjAZ8wFSSvEW2SN1rJauWpWuVVo8GmvYyXzSqQCN8U70423+RUSVCMO7ZsKaPJ9ZsAdURCHujuxisCwZcgRRJhXS0c9M77q+HHZh0shbXHaBr2MX3mkR4DiRHxZDQ32vsJT7JHMAYKpnPYaB3xQX7rMDE6HWmFlhom8lCPjSdrIkTioC5XB+EzrQknPFPe/Pt1VFoBVExLxmAa8TF9puEeo1XhYM0+Blf7571BWEnq1L8IypnuIXOz18Mg9Hk8YHZiGb1hwF27d5Ev0eyyoLoytPorb1jwqdS8GA17EJTygIenD2OH1/GvCSftnRzOyHHs+DTQf8v3mgYyBos3pFfAQU+M/4SQcGg4nEvwoxcxlhLQoR/8vWN8PBHOoeJxwpOMUznhZAKQHX4ufGirtUKuiUgVzQjfX4O7bGZncyz2U8gGTsL/ujIIf1n6W9zgdfjGy47MA3LIa4Lf+T1E52j6nr94eJO5CW8QupUe/8+itinUdgypH0DMt4KEvyOCPJqIRNFC21DJdA+bzMNeJmEemWT3nTZCML0ZoTfc4VueDueG336ft+1C2F4Q6nzQG4RrwzrC0mM0D/mZPtNIj0HAS3HxUbjk/N+C7eY/L5bAj15UNK+Rd8JvGsoYLQSpU8JB74O/JoasvhqM8CttYr3LorLqzUIgZsbWkoxWd/6Gx6yldZrfnepfxrd+7OW+I0Y68TDZ5YZRvPAWVCiXH6zlJd/aqg1xchtdvV6Q7X6N7zuAHbjPf9+d2J0Ihz1gB0y2f7NE3mqTQE1Hi+IXjoE3CHTf90l4/73wSwxPRuBI6pNA4GG49+F/IMKIgaU21fcwU9YFRM/+fOabROE8vG8++eQ3N21R6TMwGwC7X3SUszkPwQe32crlP7hIi03g57l2Zi7/mgiEd6nlkATb2KWRM6x2YGGO79q1e9pqjE+4d03Lfyu7xl2tLX2pe1Ox3ubm1r7kvemWXkBLy5v6pblNemweqHCPsiWuthUlr6H8uHQJEiNcRCIQggNMwpYZUbtcgypTwpprVzXHNd/H6pGaEmnBbTiQMt1jGiTjKQoWelNRf6A5ZMmRzrpZktFO+nnGXvzDkSVnGHJDWqgPWyHElBpSgdy9A8m6haP/n8An9va/VfUwzGwDEqZ3SG/qwRjBXH+MJAItLb5cT6QZ42uv7xucXMAnv4Pv6bRVNJnSGn23C3Ia+oaMwJ/pGtZaM/gP/vCBYb3P26/Wxs0hs58IhlqafSmYTco9lm6NqdPBcFq7R7ROF9FGuXPkQqeHr5B7+EKnPMfdRoGjFbzLgN4P3Yn/mBR9f2QTqwwEMIOrZNZmI6QUof+fZp75h1cC6ayBERHuHhZZAzpIYlrxOPOR60JUCRktzatkQReVtllyLClbhEpdSGJIhgKtRm2OLmb0+9Wry9HKbgB3prdfrUmYguYg4Sebm30ppiQk91h6AHbusnUNa124kLRv9w++sMERvRuFaOxqyvEsDxNEW9iT03R79gQfNHzGu1CjrrnAO4FtruTAnMrNGCj8bJR8siZiu2oA/MBdqEHl6ggRUcvRmgXuyejVyWr7eNkwS9NXKyOKFOA/yZ3vNogS0ZM+zwUJj5M7UHzfCvsYvncHmsRWgZF9W/VbRjatAqA/xibAUOIW/dahjRMAW7wdde8ds69w79uOgiuF7bf4bT3A/67KXwUmxc36Z33tRx+oeXFLCogRWEeyOzmcTjaHcsYUcO+Ss2trq2F2e+Xp7bDZFLstEgHUKVqQxr+SpFuq86fJ7/lP3imct5888MUlk7T47jnVSY3giJMtkRCcr2S8IA+zxodlLme/3Nis1wndqGzTTMOvEmPDFTKV82aorUWn/WTYm0bmGj4tl5MK6ZKH5uvOa/nHXGyx1MP5urE2VIvaEsMy/bVsGG4q8T4Y9z6UFV46xXhdjAR2OzJrirHicJbvobjvQeAz43z8aH4KfWP88A7u4I/cmh8XqGsGP7R/Ez/GAbEdfx0HRS9uXehe8dzukl0Dzz3Xvblk7VxH5uLmmg3L11FcwcFldHgTf0ZqaLMoh7BCp2IgZjFIjpbshx3eW/JmYEaQLNJZNRQ8fiTYWzBwF9lyajJ/Tfz0DDnynPO9RRZ/W5ge9sctFn8ixAj6E+C3kDaRKmgQc229n0E3UbfNqCFjAu16+5iWMJqF2Gztjj5/XxpLW95H9/y+R+czWq0BE9BdVVP2HPfq+fDc6ekcO6WmcuzTp+fC86vd9hyqfNFsfM0cNXdGOpO41+BbewlS5qcIxWdlRNlXGuKnqjlfI/POvfcRVx0PgF3zW6e9a4mddzxw5wn7iffF7nBtWrNuKDS0ik3gniPE/agXNdaqUohZnwsxcEyFjniCL6/dTFcfpl+F4/rRbgTFOgzqXpdowxJPtNllsmqLP8wXeGsWbI5I2E0/Jbfy+QJUKrNRA163u88ZOtugRAxGk0N7zVl6RWWL8s1IWI6XlRxnHGfN/c/LfVzQSHP6PTaE9AEl0zNcrR9Qj2EwY0aHPbW7mEXE+tWD1bt7lh2YIB6bjJnWDdk8DgUhFoa02WRbh9drv9dkdritXf/Rk6vPXgZNTHzQZB4mYMI8MmjCPb3IeeY7GRTDMnr9gJu3Z5G3rRW3Iroy+7K/IkiBzTNgP8uc6bU5HUQ8Hc4l29JebzxN5obj6eDHxsVoyI2iUS84yjRE65WO9a7C05hKrXxAXPVh1VW/31hZ43ztO8QXIhJ5g69BGXE/4bsYsawesuKGCF+GiURQ63cfXaYXf2EdRvknZY1SV7geTOm8xVfNfMGjMnVDqWzufrDZ55nFM8EZUkOohxNCNGmGS+tWC0Wn+y5fdJtQhMCsh0qLq5WNrE/KGcuPP3SoKanI7eduq6o8Cd4lg+lkNKJnCwZTyUj07AGl0oKZjHCuYTT9coC//eVIb6zYnW92ODH1QYHoKEJvzYs4rOUvvnZ309JGmS3Aa4r0kb5qN4v7+0iV5Iqg0dUwT+ZHbCb5yF2PlWW74q0QX+2DeI9Yoem/F7UltW+g0I87wVLvPGtaqqEMkFFLtUusv867x5vHW8byF+U7cEyTpcGdoIUX2Yg4pnoGe05k6irCjG5AsAciRAyidCu9a3Rs3eA6WnXRu68Hethv9/l9Y4FA0Io5A9YirKL6dxfuJcH+hreW1WD8EqzIivlBrpsxrlS3mUxGbsWNt1kfI5YvJ3oH0vABVRcuLxY5c8A92NxgKilRhVY1FhTDsKCgEWA3PnA3XcyWX3R/wJ87b9slo+JS9tzjcwTvSZ5nDpxbWI+tP07zBXxhb/MN2Ibj/EOsBXuP7wVdcxTn95S7hcJyz+4ZxcxHbtbp4h7Wm3OKuQGW5+Is9+AlxaW3PeWG7vJPDhTL/VKpX6kSEmT5zRtQKmXoAUljBLdZicdnoDISp3NIZsOSM4j5lFi7gyOd095pYMDdnztQx9rM6EC6fWQgYwwYEbvHaiE2ZO06dN3ncRwwlB99cSQ974Pnfempz4/YP5ahR9Eja6/DApT+PTJcbVPCESL/Dv0u9HS+7X4bOLgfimY+BFuZreIL7qEZPBLGs7opzmg/RqdOuFTEEC8RipaIGaKlVAtOUa4sSEV2xSMiUVVcYi3uF1hn33fBdeE+4rg80B7smnaBew4r9g9exa37j/Zr0oH33b72dJW9qgrbBeyVrhPfFbEaTlHvOUQazE6852yXNAuHNjHODtoTw+QmhhTe6BfkFZ++gF84TRyNfj6AT+MA339v0Vo5+fGpm4ytN8EmxifLXRyqnM3+6M7/MKGPUwHb28tdzEgFm/nRXa/C0OARcPnN9pjr7hnw5BExVs/HxBK+HasXi2K8XSLmY89KaKv/uoH/VX39X64Nf9/MNqUNtFziJuzp9+f32Jvp7z/1f9qgqOCyKqsrKvMrWQXNG/n7VseJVgmJqURiCqh+jNmWjk6A2xc4CWIkd6C8+HJh/t7yutwe/VJbw8/OVdfzgb9wciq1ZqrFQ8JuEqh+3LMt8WqWcriYRkCsqMivrFxWUZnn/aCXdbOxWMu0fBD4szOxSDHAArd70EWs/MKi9gf9FgSjfizuA3FRgViQnHaJVcNikXMMhUCW9dWXNfv3px52CQmh6+HUQ6zhOyl4hkEEddKqwHevM2qn6yQhJWYnlZK6R2oZ//1vskoa0rmVYnFllUgsEVVVisXTgj8kFb+5CX+Tlv8BE+Tk/n27bl+OrJ+whSY3b1tFD9P9ofaoIdQkarWeTib6W1sC7f78cP6qjdtez0dCSHASDaHis01ik9nTE9jEMqWLLdE08ONr3IS9fS7fYa+nbyUaRflpQDsIVARtob32ogOrqN5Ay2Owxt9JCyFrU/1uPjBvLdreFx3Yj8/rjxUGk/5uNS+wswxnwBb40JMtEPyqqvlfLRff5rlSo/p/gnn2rLB2prhB53eCL8i3rOde6n+TUBHkwtSeU4xNx8DOvd3JZQtH/z+Oj+/tfqvsYTinDRySJ7YlPdvAnl+at6WRCZAQVD+yvPqRLOrmFOPm1kjhsgQvQ++j9zUQEEQ+ZA5MUVlB3sLITcU3+eQ7Atarstx15ZsKih4oLh+gjxIJDqfgOrv+Vxfl9pWexA/mjhCBOoVvDDx1yP8pYHQ67JzaHci/eOni0wZ9nQ8GeE4HYkKp1tZf/Bn/fnwrOLgdeXnkfbcGFaz5Fv4CqObz/go7/QVPMBCfznNDtVEkZvPYzFX/lOqCRoM+imJYFDGuMDbj6MPiUi63RCyu43LrQU4lU9Rs9Z/ojgPtFnjlz1Se9OS827PUA6J3jX+wUL7sY6rgCA4KRQf5woMi0YFbirsLi7qLvbeosLuIPq8pEkIUh62osEfqwQC8MV/y11S3v27Q/eGl/4IYPa/f8Cj0hUqK71l4epIFDlbw9lkq3oUu4yXJ+u8vj7DKwFUGFkUNcDeNenWxG6p9IhGbx2aMvy3RM9SHXSkureaWik/vVnUpiJ9xuPhZ51bQHc6mrGwwKtTcaG6cN9yIbfQ+Jby5jhvFRm13YXchznMVXGJYYxbjh3Xj9YI6DvdPnUmz2gC9oZJbNligp9EmVe1KBxusVFV9/HB9Wcm/C5+QQ5C5ZU3VJ/eUlpd8g8/LIYbZBTreff3txXJWGY+3wGEwnmWOLuMPVrDKixD7eH3LQOUytR3F8mIIh/3fhgYV/38JymJDgma1BlN9GWMbvlYBGyxxqfGld3A1102SLh3+ltyTD9e5DNO7UlwvsovrxJI+3i6qB1hfHwDocDNnt3xC9AFZMB1ATQYNG87G9+K8SX7HvE8lUaOKzgX2uRK/8UD9oqxlYP0VYQVkSqZVJtzJ7kUN1zJoShDiyQbxRnoGnXebln99uouI81dwFADP94Br+x3+j1w8kiXWwdxF7kdsaKowsR/6wP1V1syCj42dg3Y6Nl3O2E/wnc0tZOVf9QHfwwD+/8OAzaeirbx01KhcNOMo+ndGjffidfoLM1gDUbaJmISJzjsJ/SuTPMk4NmdU15iCQJfIfu7lBfBzYvRbdP76DuAj3WfdwMHk/rAg0egKU0VV7Y18aV+X0SXwPjlk54GT6IN/+a43Lgn++n3AAw9HD0npieaZi9KdJ/2ReY4fgz7Sk7yBM9tju4v58FCS86HLmc+Tw4AHTrYAAl2hgH82cAqA9YMDWN/RVwCTZ2kT9kee3zNx/DXH93XQCmg+Fa2AnVi5vgs1IQwgJwUnJ9GKM1Lr+oQudxg/VSaSGe6UJBw195jDX6bPbu8bbFzaLMRn0Y/yOq6RiamIx5nShU1INBX63HNyDnnhHP4u6D9AAyzxyy30t/m//+b9ob3Rnl5HbynD9n1QpMo5D4Ddgef761C24WQYJiQmF+oPjkH9W2OKE9tmynYIAI5lF/MBFH6Xu84aFQY0ZulhCOrEtqHZo4sPNgWGa7UL23JNrD/oMadWh9gFM3wDjC7eGTSSp2o5pMK3RQMC2VAoyUpYSv4BbRPj5C6OcHTxLYiBsGbBOIltjXB08cUGMKhjU+QLnKsDRnc4aAra828K3XKp8yFEpHsiHN1h1/6PlMdrDSMBPxeNIsj6QkOWZcWpQK1YTdRYz4G+1LU62nkrVpkwUEojHN1h2uMNX22sKJh29tUJSJAT139Afd2tDjw6Ha5OnrHP5moyflld7Q0OvtbNa245JNgRZIGX9rTJ6R0y/6J/JkFaRNsFtTn64iHrSV1NUi0iQSwq3FSirSCiCaaEFqeNl1g6fYs9TJHYHjSIW3KSJyZEiHTUsKFe0w83aeO0eimod5dL9FYMCtS25LtlWpbXVd6EfgwCCtz6d5o/tQ777RmODwI+e0hdub1y7tICjds621GgwwAC/kbWVpWKB+RMyHKdrNOWWt5ZwP0ZEoC6SkVL6ZskrOXB+4qtAilJTYFYP/gpBF0iRi32FkuFSG0tno1sffflZB2vslXGda2KW6uue1R3CbiiyRspxSmmdgYDIbnYopyibFK8/nKkH0X4MJTK9lAqbp6NzegaqkyVENkevDX45q89D1rGWzn6VPw7mch/Fw6EN1FYmlCdS9V5JF2vujMpNDHWL+p4Uq/IJKSZohzgEob77WTMdtnZAPhRLIS61nB9EZIfsS7CCFugyjfrIpi4+5PhRGqk6eLX74h0mtSFFZf/3OZIs4qx63gfYTCh84jLBr0W24SKiyzVpxWaQEhyMZUDmlLSZltQcSOtKwELVkcL23QVV9ukmVpZCo0ITm5k5ShOaei1Lai470u7CanTtuHtkkxNC9cc5ZLXPBqtsueFVSCoAXllN6XrKGwWRgxJfmfWrp1NcgRoTk9wgZbsVVmOO4DhMXXghhyxM7vVRiKAK7RTTyM+uWF9Wk55X2B7XwhiUJltKttiYnuohDjqWD83SQD76jripHJCLq5J0naafqG860BzZGYjLnD1tkgy2QEXXbUcvnZ+4hzhQ+tAy0D78HeBsq44fi8JCALI7VTwfLJGPiAng1o9QK4TSJXipMFEeRwthUkDDqctDTa+RM4bfXxQylAHuHNaXc39fwCBny/Zn8sNOZxNveotyjqmWSrWkj719BoMmG+PxdCMA+CdhO1nIM4RnYHhh30GbrjnziAEyDuDQWbTGUw+YiR+3WLlQXBzAFK+Fc3UKaNbj7E712Pof9gKevow+HajMpmMOZFaktGvEl+Q7lr/kzgQSEk1FXdyGjXkpJNFfQhOLzFFZ0xW6hczKqLTMl1vyKBqPnS8bltOe6vG3auvo6ne8ujVHWokD4OcUm9nSBC0dO6w1UZFiY/Ye0KbltG53TwudqLXtR9Mo63UwA3VJtS9u+qRrpRJPnilNKmlhgxotEL/vH5GyqA+qaM2hxvUsCX7pBIrY8E4vSSjho/lllkHpBAOOMcrXJkWuXLjzBTrXs7nlfoL4K9HsAkVJvzNMQ5OLjg3D4KXj19AkG+TpRo2zVq0nn25Nr5QInf/MyNEiUuCWKEs9IlIXAzHHHfEUZddYcuakr12hGZqTc46x8Yhh12SLgYPB+kXv+v0qyXa7bPMp/603BV/6PaXv3VZ4Q1G//jNSrc6oJdJj1U+98waGX0G9Bt0p3ifWW/YqBVWGrPKuAlrrDZpnbXuclCmvdbbKNFTpzxXq06aDNmy5GA6gyVVmRQd2N556z2+F146geZApVi0lGnJhtntuv/l6XfDTeddeChIpemGadmO6/kKFCpSrESpMuUqsFSqwsaxTDWuGjy16uJH5zPXgB99VoRExCSkGsk0kVNQUlHT0NLRMzAyMbOwskGg7DAOTi44Nw+Cl49fQFDIYcglPoogFqGh3FT7yrHO9qGBdPbKwYxMhuisQF6tgNa0KWUKWRNc8DFyhlW8O+QIuqKQa0jIjIFrOQxJcdpa7aBc3qQ61jA6hsaEZknzG7mp0dFZTr4APeGFLUr+J9xPYg6WxrqWKH90uLgr0bXUlhIZ+muqV8o4BaG5/pxnJVfgF+pQR77VbIRLyEpDqsniKASC66ekxZTHYYKhHzN7hob6ZH9J2AoDV1OXcjNSdi0r4ZBnCVlt0+VoUmickpT5WZ9RZYleU3+PTZY7qMOGowACszlD8WLjO501dI+lEsqsXTAdhvEB1Bau/GvbSsw2HLLFrEvQgaw3dKKubgEgfehYkZmQv0IQ0OZmFVrLNNOZszMvi+Wor3Mg0zFb2zljibE1kjQ5JQhkr6ExdbUtATZrZyzT37Eh6hQQqtPjQxXE1iGMIsBhWlo5nCuWDplwdBmBQL7lS8gs7e/UA0t2AwA=)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Space Grotesk";
+ font-style: normal;
+ font-weight: 700;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Special Elite";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Teko";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "Teko";
+ font-style: normal;
+ font-weight: 700;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
+
+@font-face {
+ font-family: "VT323";
+ font-style: normal;
+ font-weight: 400;
+ font-display: block;
+ src: 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)
+ format("woff2");
+}
diff --git a/.claude/skills-media/embedded-captions/references/aesthetic-principles.md b/.claude/skills-media/embedded-captions/references/aesthetic-principles.md
new file mode 100644
index 000000000..17a52307c
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/references/aesthetic-principles.md
@@ -0,0 +1,168 @@
+# Aesthetic Principles for Cinematic Captions
+
+The 18 rules that separate "designed" caption work from "preset-generated" caption work. This is the single most important reference in the skill — every plan.json and every Standard-mode HTML should be checked against these before committing.
+
+The whole competitive thesis: every AI caption tool in 2026 (Veed, Submagic, Opus Clip, Captions.ai, CapCut) is a **preset picker**. They hand the user a box of crayons. This skill is a **director** — it exercises judgment. Beat them on taste, not feature count.
+
+---
+
+## The 18 rules
+
+### 1. The subject always wins
+
+Captions exist to serve the face, not compete with it. If the caption draws the eye before the speaker, the caption has failed. **Before shipping any plan.json, ask: "does the caption or the subject read first?"** If caption wins, shrink, dim, or move it.
+
+### 2. Occlude, don't hover
+
+World-class caption design puts text _into_ the scene. Letters that pass behind a shoulder, mic, or head feel diegetic. Letters that float uniformly above the lower-third feel like PowerPoint. Use the matte pipeline — that's the moat over every competitor.
+
+### 3. Contrast is a hierarchy problem, not a brightness problem
+
+A white box behind text is a failure of taste. Priority order:
+
+1. `mix-blend-mode: overlay` or `screen` picking up scene luminance
+2. 2–3px dark stroke + soft drop shadow
+3. Narrow semi-opaque gradient bar (NOT a solid box)
+4. Dim the background plate by 10–15% locally
+5. (LAST RESORT) A hard white pill box — banned on cinematic directions
+
+### 4. Kill the constant lower-third
+
+Fixed-bottom captions are monotone. Caption zone shifts with shot:
+
+- Tight close-up → upper sidebar or crown
+- Mid-shot → embedded on back wall / foam / whiteboard
+- Wide → classic lower-third offset to non-subject side
+
+### 5. One family, two weights maximum
+
+Hierarchy lives in **weight** (e.g., 500 → 800), not in **font**. Mixing Montserrat + script + serif in one clip is the #1 amateur tell. Ship Inter, SF Pro, Söhne, GT America, Aktiv Grotesk, or Neue Haas Grotesk with ≥5 weights and compose with weight + size.
+
+### 6. Tracking tightens as size grows
+
+Display-size (>40pt) wants negative tracking (-10 to -30 units, or `-0.015em` to `-0.035em`). Body-size (14–20pt equivalent) wants positive tracking (+5 to +15, or `+0.005em` to `+0.015em`). Apple SF Pro's optical-size model is the reference. Submagic defaults do the opposite — they look cheap because of it.
+
+### 7. Cap height ≈ 3.5–5% of frame height for body captions
+
+- 1080p vertical (1920 tall): body 65–95px, emph/hook 130–170px
+- 1080p landscape (1080 tall): body 40–55px, emph 70–100px
+- Hormozi-size (~7–9% of frame) is **hook** size, not body size. Reserve for punchlines.
+
+### 8. Never italicize for emphasis in video text
+
+Italics are a **print** convention for flow inside a paragraph. On 24fps motion they read as "tilted" not "stressed". Emphasize with weight (extrabold), color (single accent), or size (1.3–1.6×). Italics allowed only for:
+
+- Literal quotation of written material
+- Foreign word
+- Thought vs spoken dichotomy
+
+### 9. Color discipline: one hue + neutrals
+
+Pick **one** saturated accent per video for keyword highlights. Hormozi's yellow+green+red works for him because his content is already loud. Cinematic = single accent + white/bone/charcoal. Default palette:
+
+- Warm white `#F5EFE6` on dark
+- Graphite `#1A1A1A` on light
+- Accent chosen from scene sampling
+
+### 10. Animate transform only, never the letter itself
+
+`letter-spacing`, `filter:blur`, `font-weight` animations cause inline-block reflow → line-jumps. Animate `translateY`, `scale`, `opacity`, `clip-path`. This is locked from the embedded-captions debugging.
+
+### 11. Minimum 0.4s per word visible
+
+BBC reading speed is 160–180 wpm (0.33–0.38s/word). Cinematic feel wants more breathing room — 200–220ms stagger per word, hold full phrase 0.4–0.6s before exit. Entries under 150ms read as frantic.
+
+### 12. Stagger is the primary expressive axis
+
+Same phrase, different stagger, totally different feel:
+
+| Stagger | Feel |
+| ------- | -------------------------------- |
+| 40ms | machine-gun, urgent, TikTok-hook |
+| 80ms | conversational, default |
+| 150ms | deliberate, documentary |
+| 250ms+ | poetic, ceremonial |
+
+Pick from content tone, not default to one value.
+
+### 13. Emphasis escalates _within_ a phrase, not _between_ phrases
+
+Every word bolded = no emphasis. Structure:
+
+- 70% plain body
+- 20% slight lift (color OR weight, not both)
+- 8% full emphasis (bigger, brighter, held longer)
+- 2% climax (biggest, held 1.5s, breath before + after)
+
+### 14. Break rhythm once per 30s
+
+Every-word-same-way = eye adapts, stops registering motion. Plant a rhythm-break every ~30s:
+
+- Phrase enters from opposite direction
+- A single word at 2× size
+- A beat of pure silence with no caption
+- A color shift
+
+This is what separates Submagic-preset work from something designed.
+
+### 15. Caption what adds, cut what restates
+
+Transcribe everything. **Display** 70–85%. Remove:
+
+- Filler ("um", "like", "you know", "I mean")
+- Self-corrections ("I think... I mean actually...")
+- Obvious visual echoes ("as you can see here" while pointing)
+
+Editorial judgment — no existing AI caption tool does this. It's pure upside.
+
+### 16. Segment on breath, not on duration
+
+Chunk at natural pauses ≥ 250ms. A caption spanning a breath-break feels wrong. Whisper word-level timestamps make this trivial.
+
+### 17. Safe zones per platform, always
+
+- 9:16 TikTok/IG/Shorts: caption zone `y ∈ [12%, 78%]` (bottom 22% is UI)
+- 16:9 broadcast: title-safe = center 80%
+- TV export: 5% margin on all sides
+
+Bake into the layout solver. Never eyeball.
+
+### 18. Letterbox/pillarbox is caption real estate
+
+Black bars on 9:16 from 16:9 source? Those bars are the caption home. 2.35:1 cinematic frame on 16:9 export? Serif quotation in the letterbox reads as documentary.
+
+---
+
+## Rhetorical judgment rules (editorial)
+
+These are the "what to caption" decisions. No existing tool exercises them.
+
+- **Filler suppression** — off/light/strong. Default: light for documentary, strong for vlog.
+- **Self-correction folding** — display only the final version.
+- **Breath-group segmentation** — split on silences >250ms, never mid-phrase.
+- **Semantic emphasis** — LLM-pass per phrase: "which 1–2 words carry the meaning?" Highlight those. Don't default to stressed syllables or loudest words.
+- **Silence honor** — if speaker pauses 1.5s+ for rhetorical effect, don't back-fill with lingering prior caption. Let silence breathe.
+- **Quote-sensing** — "he said, quote…" or air quotes → italic (one of the allowed italic exceptions).
+- **No `[laughs]` / `[sighs]`** — those are accessibility captions. For aesthetic captions, they pollute the frame.
+
+---
+
+## Self-critique checklist (run before rendering)
+
+The agent's own pre-render pass. Flag violations:
+
+- [ ] Does the caption or subject read first? (Rule #1)
+- [ ] Any hard white pill boxes? (Rule #3 — banned on cinematic)
+- [ ] Still lower-third for a close-up? (Rule #4)
+- [ ] More than 2 weights or more than 1 font family? (Rule #5)
+- [ ] Italic used for emphasis? (Rule #8 — banned)
+- [ ] More than 1 saturated accent color? (Rule #9)
+- [ ] Letter-spacing or filter:blur animating? (Rule #10 — banned)
+- [ ] Stagger same for documentary and vlog? (Rule #12)
+- [ ] Every group emphasized? (Rule #13)
+- [ ] 30s+ with no rhythm-break? (Rule #14)
+- [ ] Displaying every filler word? (Rule #15)
+- [ ] Caption crossing breath-break? (Rule #16)
+- [ ] Caption in platform UI zone? (Rule #17)
+
+Any "yes" to a violation question → regenerate the affected segment.
diff --git a/.claude/skills-media/embedded-captions/references/anti-patterns.md b/.claude/skills-media/embedded-captions/references/anti-patterns.md
new file mode 100644
index 000000000..21e6a3408
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/references/anti-patterns.md
@@ -0,0 +1,188 @@
+# Anti-Patterns
+
+You default to these. Stop.
+
+Each entry: the bad habit, what it produces, what to do instead. Written in the voice of someone who has watched an agent do this 10 times — because we have.
+
+---
+
+## Layout
+
+### You default to center-aligned crown.
+
+`.crown-plane { left: 0; right: 0; text-align: center }` is the template default, and you'll leave it on every video because it worked once. On a subject that sits right-of-center (Jobs in a 16:9 frame), the body eats the middle 60% of the word and "THE BEATLES" becomes "THE \_\_\_ S".
+
+**Before using the default crown**, run the three conditions in [layout-heuristics.md § Crown placement](layout-heuristics.md):
+
+1. Subject centered within 10% of frame center
+2. Clean zones ≥ 15% on each side
+3. Crown width > subject width + 400px
+
+If any one fails, **move the crown to the larger clean zone** with a narrower container and smaller font. Don't keep centering a word that's about to be 60% occluded.
+
+### You compute text leftmost as `plane_left + padding`.
+
+That's correct for left-aligned. Wrong for the templates you're using, which are **right-aligned** on the main column and **center-aligned** on crowns. The real leftmost depends on the word width.
+
+| Alignment | leftmost_x |
+| --------- | -------------------------------------------------- |
+| Left | `plane_left + padding_left` |
+| Right | `plane_right − padding_right − longest_line_width` |
+| Center | `plane_center − longest_line_width / 2` |
+
+Compute it against the **longest wrapped line**, not the whole phrase. "four very talented guys" wraps to 3 lines — the widest is "talented" (~8 chars), not 23.
+
+### You treat `plane_left` as the text's leftmost edge.
+
+It isn't. With `left: 180px` and a right-aligned 468px word, the text starts 104px **before** `plane_left` relative to the plane, but actually lands somewhere inside the plane box. The plane box just sets the coordinate space — the text positions inside it based on alignment. Check the compiled output, not the plane attribute.
+
+### You center text on the frame when the subject is off-center.
+
+Look at the subject's body center, not the frame center. Jobs sits at x=1100 in a 1920 frame. The **scene's** center of gravity is 1100, not 960. Center-aligning text to 960 is center-aligning to the empty left third, not to anything meaningful.
+
+### You copy-paste position values from memory-wall to a new video.
+
+`top: 40, right: 30, width: 720, rotateY: -13` worked for a 1280×720 frame with an acoustic foam wall on the right. It will not work on a 1920×1080 frame with a bookshelf backdrop. Run the 6-item checklist in [scene-types.md](scene-types.md) for the new video before reusing any numbers.
+
+---
+
+## Typography
+
+### You use template default font sizes regardless of column width.
+
+Template defaults (66/78/92/140) are tuned for a ~560px column. When you bump the plane to 700px+ and don't touch the fonts, the captions feel underweight — small text swimming in negative space.
+
+Use the [Font-size × column-width matrix](typography-presets.md). For a 700px column, that's 78/108/128/220 — a 30-40% bump across the board. Re-check pillarbox safety after bumping (bigger right-aligned text extends further left).
+
+### You pick `intro` style for every first caption.
+
+Intro = italic, smaller, contemplative. Fine for filler discourse markers ("You know,", "So,", "Well,"). **Not** for the first line when it's actually the thesis ("I've had this kind of upbringing"). Read the words semantically, not positionally.
+
+### You skip emphasis entirely because "every caption looks clean."
+
+A story without an emph or crown is typographically flat — viewers can't feel the crescendo. Reserve at least ONE emph per video for the line that lands. Skip it only for truly monotone content (policy statements, warnings).
+
+### You give every group its own style.
+
+Style is supposed to signal _hierarchy_. Using `intro`/`phrase`/`emph`/`dream`/`crown` all in one 15-second video means none of them signal anything. Pick 2-3 styles max for a short clip.
+
+### You only use the 5 preset class names.
+
+`intro / phrase / emph / dream / crown` are scaffolding, not a closed set. The canonical `memory-wall.html` uses `cap-1 / cap-2 / cap-3 / cap-4` — **position-indexed** with bespoke typography per position. That's how it achieves the 3-line right-aligned cascade on the climax. You can't express "this cap has a hanging indent at position 2" with `"style": "dream"`.
+
+The `"style"` field in plan.json accepts **any string** — it becomes `class="cap-"`. Define the class in `custom_css`:
+
+```json
+"custom_css": ".cap-1 { font-size: 78px; ... } .cap-2 { padding-right: 44px; }",
+"groups": [{"id": "cg-0", "style": "1", ...}]
+```
+
+When the scene needs per-position bespoke typography, do this. Don't force-fit into `intro / phrase / emph`.
+
+### You regenerate from plan.json when a canonical example already has the answer.
+
+When scene framing matches `references/example-renders/memory-wall.html` or `champion.html`, clone that HTML into `/index.html` and only swap the GROUPS array. Don't re-derive the design from presets — you'll lose the specific per-position typography that took many iterations to validate. See [bespoke-vs-presets.md § The clone-and-tweak workflow](bespoke-vs-presets.md).
+
+---
+
+## Blending
+
+### You default to `mix-blend-mode: overlay`.
+
+Overlay works on **mid-tone** backgrounds. On dark bookshelves (<60 luminance), overlay makes white text render as black. On sunny backgrounds (>180 luminance), overlay blows out. Check the actual luminance of the caption region in a sampled frame. Pick:
+
+- mid-tone surface (60-180) → `overlay`
+- dark surface (<60) → `screen`
+- bright surface (>180) → `normal` with opaque text
+
+### You animate `letter-spacing` on the word entry.
+
+You saw a "typewriter breath" effect somewhere and added `letterSpacing: "0.04em"` to the `fromTo` "from" state. Result: inline-block reflow every frame → the whole `.cap` line box recomputes → captions visibly jump between rows. See the "Some → line 2" bug from memory-wall.
+
+**Animate only opacity + transform.** If you want a breath effect, use `scale` or `y`, not letter-spacing.
+
+---
+
+## Animation
+
+### You fade both the group container AND each word.
+
+Default feels safer: fade the container in, then fade each word in. But container.opacity × word.opacity produces a non-linear curve — at progress 40% the combined opacity is 16%, not 40%. Visible result: captions seem to "pop" into view around halfway.
+
+Set container opacity to 1 at entrance via `tl.set`, then fade only the words. Single-layer opacity = linear perceived fade.
+
+### You stack captions in a flex column.
+
+Flex-direction: column with multiple `.cap` children looks tidy in source. At runtime, hidden captions (`visibility: hidden`) still reserve flex space. The newly-entering caption shows up at the _bottom_ of the column instead of the designed position — landing in the gesture zone, getting clipped.
+
+Use `position: absolute` for each `.cap` inside the plane so hidden ones don't occupy layout. Both shipped templates do this.
+
+### You start the timeline at t=0.
+
+Caption at exactly t=0 feels like it was there before the video started. Offset 0.1-0.3s (hyperframes motion-principles.md agrees). Same for the very last caption — let it exit before the video fades.
+
+---
+
+## Scene admission
+
+### You trust that "looks like one speaker" = "is one speaker throughout."
+
+TV archive clips cut to B-roll mid-sentence. Interview clips insert cutaways to the interviewer. You didn't check frames beyond the first one, so you rendered captions across a shot transition. Result: captions designed for Subject A are placed relative to Subject B's position (or empty frame) for half the render.
+
+Sample frames at 20%, 50%, 80% BEFORE planning. If the scene changes, trim to the largest single-subject segment.
+
+### You ignore baked-in captions / pillarbox / watermarks.
+
+You saw black bars on the sides and didn't computing the safe-zone. Your captions cross the pillarbox. Or: the source already has burned-in subtitles and you added more — two caption systems fighting for attention.
+
+Run the **letterbox probe** first. If the source has existing captions, refuse with: "source already captioned, adding more would conflict."
+
+### You ship Whisper's transcript without checking timings against the beat.
+
+Transcription is Whisper (via `transcribe.cjs`, no API key) — good word timings, but not infallible: a word can land with a near-zero duration or a timestamp a beat off. This skill is verbatim + on-beat, so `check-timing.cjs --strict` (80ms tolerance) is the gate, not a suggestion — fix drift in `plan.json` before rendering, and never pack two transcript words into one timed entry (the second inherits the first's timestamp and fires early).
+
+---
+
+## Matting
+
+### You enable CoreML for the matting ONNX.
+
+It's the Apple way, obviously faster. No. CoreML partitions the ONNX graph across providers. The mixed-precision boundary produced (observed with the previous RVM engine) alpha=30 inside the subject's face while background correctly reads 0. Captions shine through face. Pin the CPU execution provider only (`onnxruntime-node`). Our `matte.cjs` already does this; don't "optimize" it by re-adding CoreML.
+
+### You pick a matte model by "general vs human."
+
+DECISION FLIPPED 2026-06-12 after a 5-model × 6-scene A/B with caption renders: the matte's job here is CAPTION LAYERING, not prop fidelity. `u2net_human_seg` (via hyperframes `remove-background`) usually excludes thin offset furniture (mic boom arms) from the matte — words stop being sliced by booms, which beat PP-MattingV2's prop-preserving behavior on real caption videos. It is NOT surgical: large salient objects near the subject (telescope rigs) can still leak in — always sample frames_fg/. Known cost: HELD products can drop out intermittently (captions pass in front) — route product-demo climaxes away from held objects. `isnet-general-use` lost outright (backlit-hair collapse). birefnet-portrait (MIT) beat everything semantically (keeps held items AND drops furniture) but is 928 MB / ~7 s-per-frame CPU — a future quality tier, not the default.
+
+---
+
+## Grouping
+
+### You caption every word.
+
+Transcripts are verbose — "you know, um, I, I mean, you know" is 5 words from a single beat. Captioning all of them clutters the screen and breaks reading rhythm.
+
+Editorially drop filler. Use the rules in [caption-grouping.md](caption-grouping.md): merge short fragments, cut repeated discourse markers, keep the meaning, trim the noise. You are writing typography to support speech, not a court transcript.
+
+### You group by fixed word-count.
+
+"3 words per caption, always" makes every caption look the same and fights the natural cadence of speech. Break on sentence boundaries, 250ms+ pauses, and semantic units instead. Caption sizes will naturally vary from 2 words to 5 — that's correct.
+
+---
+
+## The meta anti-pattern
+
+### You read one reference doc and skip the rest.
+
+You'll read this file alone and feel covered. These anti-patterns reference concepts defined in `layout-heuristics.md`, `typography-presets.md`, `scene-types.md`. If you haven't read those, the fix advice here won't make sense.
+
+**Order of reading for a new video**:
+
+1. SKILL.md (decision gate + pipeline + pre-flight probes)
+2. bespoke-vs-presets.md (**first check if a canonical example fits — clone if so**)
+3. scene-types.md (template selection — all 4 wall conditions)
+4. layout-heuristics.md (positions, sides, crown, font scale, pillarbox formula)
+5. typography-presets.md (font-size × column-width table, starting points)
+6. caption-grouping.md (word → group)
+7. **This file last** (to catch yourself before committing to plan.json)
+
+If you're pressed for time, still read this one — it flags the failures you're about to make.
diff --git a/.claude/skills-media/embedded-captions/references/bespoke-vs-presets.md b/.claude/skills-media/embedded-captions/references/bespoke-vs-presets.md
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--- /dev/null
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+# Bespoke design vs. presets — when to override, when to clone
+
+The 5 preset styles (`intro / phrase / emph / dream / crown`) and the 3 templates (`wall-embed`, `corner-column-crown`, `portrait-header`) are **scaffolds**, not rules. The best renders we've shipped all override presets for specific groups because **typography is a per-scene decision**, not a general rule.
+
+If you only use presets, your render will look generic. If you only copy existing renders, your skill won't adapt. The right workflow is:
+
+1. **Decide the shape first** (template choice, plane position, blend mode).
+2. **Check if a canonical example is close enough** → clone and tweak words + timings.
+3. **Otherwise start from presets** → override per-group via `custom_css`.
+
+---
+
+## Canonical example renders
+
+Full HTML for two validated renders is in `references/example-renders/`:
+
+| File | Scene | What makes it work |
+| ------------------ | ------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `memory-wall.html` | Introspective monologue, right-side foam wall, mid-tone | Right-aligned cascade, per-group bespoke sizes (`cap-1` 78 italic / `cap-2` 66 italic + right hanging-indent / `cap-3` 72 upright / `cap-4` 90 uppercase). `mix-blend-mode: screen` for the dark-ish foam. |
+| `champion.html` | Podcast interview, cluttered bookshelf, 1920×1080 | Upper-left column + center-stage crown. Tuned preset class sizes (`cap-intro` 52 / `cap-phrase` 60 / `cap-emph` 70 / `cap-crown` 140). `screen` blend reads the shelves through text. |
+
+**When a new scene matches one of these closely** (similar framing, similar subject-center, similar backdrop type): clone the HTML and only replace the GROUPS array + word timings. Don't re-derive the design from presets — you'll lose the specific choices that took many iterations to validate.
+
+---
+
+## When presets are wrong
+
+You'll reach for presets like `"style": "emph"` when what the scene really needs is:
+
+### "This cap is at position N and deserves its own treatment"
+
+`memory-wall.html` uses `cap-1 / cap-2 / cap-3 / cap-4` — **position-indexed**, not role-indexed. Each one is a bespoke design for a specific phrase at a specific point in the arc:
+
+- cap-1 (soft opener, 4 words): 78px italic 600 — feels like a whisper
+- cap-2 (dreamy modifier, 3 words): 66px italic 500 + `padding-right: 44px` — hanging indent creates ragged right-edge stagger
+- cap-3 (turn, 2 words): 72px upright 700 — the syntactic pivot, no italic
+- cap-4 (climax, 4 words): 90px uppercase 900 — three lines cascade right-aligned
+
+`phrase/emph/intro` can't express "this cap has a hanging indent" or "this cap is the syntactic pivot". When that matters, invent your own class names:
+
+```json
+{
+ "template": "wall-embed",
+ "custom_css": "
+ .cap-1 { font-size: 78px; font-weight: 600; font-style: italic;
+ letter-spacing: -0.01em; }
+ .cap-2 { font-size: 66px; font-weight: 500; font-style: italic;
+ padding-right: 44px; }
+ .cap-3 { font-size: 72px; font-weight: 700; letter-spacing: -0.015em; }
+ .cap-4 { font-size: 90px; font-weight: 900; letter-spacing: -0.03em;
+ text-transform: uppercase; line-height: 1.0; }
+ ",
+ "groups": [
+ { "id": "cg-0", "style": "1", "words": [...] },
+ { "id": "cg-1", "style": "2", "words": [...] },
+ ...
+ ]
+}
+```
+
+The `"style": "1"` field becomes `class="cap-1"` on the element — any string works, no validation.
+
+### "The template's blend doesn't suit this backdrop" → pick a different template, do NOT override
+
+**Cinematic mode does not override colour or blend.** A template's `mix-blend-mode` + fill are **locked DNA** — `make-composition.cjs` ignores `plan.cap_color` / `blend_mode` / `text_shadow` / `text_filter`. Selecting a template commits to its look; the only agent-authored things are layout (planes/positions) and per-group typography.
+
+So use the caption-region luminance to **choose** a template that already fits — never to recolour one:
+
+| Region luminance | What fits | Why |
+| --------------------------------- | --------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------- |
+| < 60 (dark / low-key) | a cream + `screen` template (`cinematic-cream`, `memory-wall`, `champion`, `portrait-header`) | light text glows, picks up the scene |
+| 60–180 (mid-tone) | a cream + `screen` template still reads (add a scrim via Standard if marginal) | text picks up texture |
+| > 180 (bright: window, pale wall) | **none of the cream/`screen` Cinematic templates — they wash out** | → use **Standard mode** (opaque rail, set per the chosen template) instead |
+
+If the scene is bright and the cream/`screen` look washes out, that's the signal to switch to **Standard mode** (which sets opaque colour in the HTML), not to recolour a Cinematic template into something it isn't.
+
+### "Hanging indent / outdent / letter-width tweak"
+
+These are per-group affordances you'll occasionally need. Express via `custom_css`:
+
+```css
+#cg-2 {
+ padding-right: 44px;
+} /* right-aligned: shrinks right edge, creating left outdent */
+#cg-2 {
+ padding-left: 44px;
+} /* left-aligned: offset right start */
+.cap-emph .w:first-child {
+ font-size: 110%;
+} /* oversize first word only */
+```
+
+The `#cg-N` selector always works because `make-composition.cjs` writes `
` for every group.
+
+### "Caps should accumulate (flex stack) instead of swap"
+
+All three templates default to `position: absolute` on `.cap` inside their plane — caps stack at one spot and only the active one shows (single-caption swap). This is correct for `portrait-header` and `corner-column-crown`, where each caption replaces the last.
+
+`memory-wall` uses **flex column accumulation** — captions pile up like a poem. The template doesn't default to this, so override via custom_css:
+
+```css
+.wall-plane {
+ display: flex;
+ flex-direction: column;
+ justify-content: center;
+ align-items: flex-end; /* or flex-start for left-aligned */
+ text-align: right;
+ gap: 14px;
+}
+.wall-plane .cap {
+ position: static; /* un-do template's absolute */
+ top: auto;
+ right: auto;
+ max-width: 100%;
+}
+```
+
+With this + staggered `in` / `out` times, cap-0 fades in at t=0.2, cap-1 at t=2.55 (below cap-0 in flex order), cap-2 at t=4.90 (replaces both as they fade out together at t=4.85) — this is how the memory-wall poem pages work.
+
+### "Font size doesn't match the scene"
+
+Template preset sizes are tuned for a specific column width + frame size. Don't fight them — override:
+
+```json
+"custom_css": ".cap-intro { font-size: 52px; } .cap-phrase { font-size: 60px; }"
+```
+
+Then check [typography-presets.md § Font-size scales with column width](typography-presets.md) for what to aim at given your plane's actual dimensions.
+
+---
+
+## The clone-and-tweak workflow
+
+For a new video that's clearly similar to an existing canonical example:
+
+```bash
+# 1. Scaffold the project
+hyperframes init --non-interactive --video
+
+# 2. Matte + transcribe
+node scripts/matte.cjs
+node scripts/transcribe.cjs
+
+# 3. Copy the canonical HTML instead of writing plan.json
+cp references/example-renders/memory-wall.html /index.html
+
+# 4. Replace GROUPS array with the new transcript's grouping (hand-edit index.html)
+
+# 5. Render directly (skip make-composition.cjs since we're not using plan.json)
+bash scripts/render-and-composite.sh
+```
+
+This skips the preset-based plan.json entirely. Use when:
+
+- Subject framing, shot composition, and backdrop type are similar to the example
+- You just need to swap the words and timings
+- The bespoke typography from the example is what you want
+
+**Don't clone when**:
+
+- Subject position differs significantly (e.g. centered vs off-center)
+- Scene luminance / blend-mode needs are different
+- You want to experiment with new typography
+
+In those cases, start with plan.json + custom_css and iterate.
+
+---
+
+## Rendering history
+
+`render-and-composite.sh` now snapshots `index.html` + `plan.json` into `/history/` with a timestamp before every render. If the user says "the previous one was better", diff against the latest snapshot:
+
+```bash
+ls /history/
+diff /history/index-20260422-203947.html /index.html
+```
+
+This lets you recover a design you iterated away from, without re-reading the agent transcript.
diff --git a/.claude/skills-media/embedded-captions/references/caption-grouping.md b/.claude/skills-media/embedded-captions/references/caption-grouping.md
new file mode 100644
index 000000000..06f04c1c9
--- /dev/null
+++ b/.claude/skills-media/embedded-captions/references/caption-grouping.md
@@ -0,0 +1,130 @@
+# Caption Grouping
+
+How to turn the Whisper word-level transcript into the `groups[]` array of plan.json.
+
+## Goal
+
+**Each group is one visual phrase**: enters, reveals word-by-word, exits. Rule of thumb: 1 group ≈ 1 comma-to-comma clause or 1 breath of speech.
+
+## Input
+
+`transcript.json` from `transcribe.cjs`:
+
+```json
+{
+ "words": [
+ { "text": "Some", "start": 0.24, "end": 0.44, "type": "word" },
+ { "text": " ", "start": 0.44, "end": 0.48, "type": "spacing" },
+ { "text": "memories", "start": 0.48, "end": 0.82, "type": "word" }
+ ]
+}
+```
+
+Drop `type: "spacing"` entries; you only need words.
+
+## Break boundaries
+
+Cut a new group at ANY of:
+
+1. **Pause ≥ 500ms** (gap between word.end[i] and word.start[i+1]) — speaker took a breath.
+2. **Sentence terminator** — word ends with `.`, `?`, `!`, or an em-dash-like pause.
+3. **Strong comma** — `,` followed by pause ≥ 250ms.
+4. **Discourse reset** — words like "but", "so", "and then", "you know" starting a clause often merit their own or new group.
+5. **Group reaches 6 words OR 2.5 seconds** — whichever first. Long groups feel like subtitles, not embedded typography.
+
+Hard constraints:
+
+- Minimum 2 words per group (1-word exceptions: interjections like "Wait." or the crown line).
+- Minimum 0.5s on screen. If a group is less, merge into neighbor.
+- No overlapping groups — at most one visible at a time.
+
+## Timing the group
+
+For a group with words `w[0]..w[n-1]`:
+
+- `in` = `w[0].start - 0.08` (enter slightly before first word)
+- `out` = `min(next_group.in - 0.05, w[n-1].end + 0.6)` (linger ~0.6s after last word, but don't collide with next)
+
+The last group extends to the video end if needed.
+
+## Style & tone (cross-reference)
+
+See `typography-presets.md` for how to pick `style` and `tone` per group. Work left-to-right through the groups and:
+
+1. First group: default `intro` + `soft`.
+2. Watch for emphasis signals (ALL CAPS in transcript is rare but possible; more often it's semantic — superlatives, proper nouns).
+3. Escalate tone into `present` once the monologue shifts from setup to statement.
+4. Reserve `crown` for at most ONE group, typically the final line.
+
+## Editorial surgery is allowed
+
+You do NOT have to caption every word. It's fine to:
+
+- **Drop filler** like extra "you know"s, "um"s, "I mean"s if they bloat the visual pace.
+- **Condense** a 6-word run into 4 by cutting function words, as long as the meaning and timing remain truthful.
+- **Skip the whole thing** during obvious silence or non-speech (laugh, music interlude).
+
+Editorial rule: you are writing typography to support the speech, not a court transcript. Keep meaning, trim noise.
+
+## Example (champion)
+
+Transcript: "You know, for me I've had this kind of upbringing, had the great foundation and, you know, I've achieved incredible things. I was dreaming of becoming number one in the world and becoming a Wimbledon champion"
+
+Groups after editorial pass:
+
+```json
+[
+ {
+ "id": "cg-0",
+ "style": "intro",
+ "tone": "soft",
+ "words": ["You", "know", "for", "me"],
+ "in": 0.1,
+ "out": 1.45
+ },
+ {
+ "id": "cg-1",
+ "style": "phrase",
+ "tone": "soft",
+ "words": ["I've", "had", "this", "kind", "of", "upbringing"],
+ "in": 1.4,
+ "out": 3.35
+ },
+ {
+ "id": "cg-2",
+ "style": "phrase",
+ "tone": "soft",
+ "words": ["the", "great", "foundation"],
+ "in": 3.5,
+ "out": 5.35
+ },
+ {
+ "id": "cg-3",
+ "style": "emph",
+ "tone": "present",
+ "words": ["I've", "achieved", "incredible", "things"],
+ "in": 6.05,
+ "out": 8.3
+ },
+ {
+ "id": "cg-4",
+ "style": "dream",
+ "tone": "present",
+ "words": ["dreaming", "of", "becoming", "number", "one"],
+ "in": 8.5,
+ "out": 10.4
+ }
+]
+```
+
+Plus the crown:
+
+```json
+{ "id": "cg-crown", "style": "crown", "words": ["Wimbledon", "Champion"], "in": 10.8, "out": 12.08 }
+```
+
+Notice "had" was dropped from cg-2 ("had the great foundation" → "the great foundation"), "I was" was dropped from cg-4, and "a" was dropped from crown — all for visual cadence.
+
+## word.start/end inside groups
+
+Pass through the original timestamps from the transcript. Don't retime individual words — only the group `in`/`out`. The word-level karaoke reveal inside each group uses the original w.start.
diff --git a/.claude/skills-media/embedded-captions/references/composition-craft.md b/.claude/skills-media/embedded-captions/references/composition-craft.md
new file mode 100644
index 000000000..eee8a33ff
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+++ b/.claude/skills-media/embedded-captions/references/composition-craft.md
@@ -0,0 +1,522 @@
+# Composition craft — EMBED track only
+
+This is the deep "how to lay a caption INTO the scene" manual — it governs the **embed**
+track only (captions composited behind the subject). The default **rail** track (standard
+lower-third subtitle, where most text lives) has its own, much simpler spec → [rail.md](rail.md).
+Read this before authoring any **promoted** phrase, in either authoring mode (template
+Cinematic `plan.json` or Standard `index.html`).
+
+Topics: phrase grouping, planes & clean-zone anchoring, zone coherence, climax pop,
+readability, edge breathing, the occlusion 3-step judgement, accumulation, and persistence.
+
+> **Two-track model (SKILL.md § Caption model).** Render states are `drop` / `rail` / `embed`.
+> The `bg / fg / hybrid` axis used throughout the text below is **superseded**: read **"bg" as
+> embed** (behind subject / in-scene), **"fg" as rail or promote-out** (in front), and "hybrid"
+> as simply rail + embed coexisting. Everything here applies to the **embed** track — don't
+> apply this craft to the rail.
+
+(Granular sub-topics also have their own files — see SKILL.md § Shared knowledge.)
+
+---
+
+### Caption layer: BG vs FG (aesthetic axis)
+
+Separately from template choice, decide whether captions are **embedded** (behind subject, matte occludes — default "embed" cinematic feel) or **announced** (in front of subject, no occlusion — poster / lower-third feel):
+
+- **bg** — classic embed. Captions sit behind the matte, subject's body partially occludes letters. **Default for any cap that fits the frame.** Partial occlusion is the cinematic feature — small narrator caps with face nibbling 20-30% of letters reads as embedded texture; climax words with face crossing 30-40% reads as Vogue masthead. The eating is what sells the embed. Don't shrink to avoid it.
+- **fg** — captions float on top, subject can't occlude. **Fallback for when bg cannot work.** Two scenarios:
+ - **Climax fg**: the climax word is so big at impactful size that subject + frame width together leave no place for bg to render at all (subject fills frame AND climax phrase is long; bg would be eaten past readability into broken).
+ - **All-fg fallback**: rare, only when the entire scene has no usable bg zone for any caption.
+- **hybrid** (per-group `layer:` field) — when one cap (usually the climax) hits the "no place to fit bg" wall but the others (smaller body caps) still work fine in bg. **Body bg + climax fg** is the canonical hybrid pattern.
+
+**Rule of thumb:**
+
+- Small narrator/emphasis captions: bg almost always. Subject eating a few letter-edges = embed feature.
+- Climax: try bg first, sized to maximally cross subject. If that size won't fit frame width, AND no clean zone elsewhere, use fg.
+- Don't invert the hybrid: body fg + climax bg is the WRONG direction (sacrifices the easy bg embed wins on body, while the climax that needed protection from over-occlusion gets sent into the fire).
+
+**Hybrid worked example — Startup_Host (subject fills frame).**
+
+Subject fills the frame top-to-bottom (head_top y=126 / 10% from top). For body captions there's no large clean zone, but small italic narrator caps in upper corners get eaten ~25% by subject — that's the embed showcase. For the climax "SUCCESSFUL STARTUP" at maximally cinematic size, bg would be eaten 40-50%+ → past cinematic into broken. Climax goes fg.
+
+```json
+{
+ "caption_layer": "bg",
+ "groups": [
+ {
+ "id": "cg-0",
+ "plane": "body",
+ "layer": "bg",
+ "css": "font-size: calc(0.055 * var(--h)); font-style: italic; ..."
+ }, // narrator bg — face eats edges, embed texture
+ {
+ "id": "cg-1",
+ "plane": "body",
+ "layer": "bg",
+ "css": "font-size: calc(0.085 * var(--h)); font-weight: 800; text-transform: uppercase; ..."
+ }, // emphasis bg — Vogue masthead
+ {
+ "id": "cg-5",
+ "plane": "crown",
+ "layer": "fg",
+ "css": "font-size: calc(0.09 * var(--h)); font-weight: 900; text-transform: uppercase; ..."
+ }
+ // ↑ climax fg: subject too dense for bg to land readably; fg fallback. Sized to fit frame width fully (single line).
+ ]
+}
+```
+
+Result: body bg captures embed cinematic across the subject (eaten edges = texture not bug), climax fg sits on top fully visible because there was nowhere else for it to go. make-composition.cjs emits both `index.html` (bg groups) and `index_fg.html` (fg groups); render-and-composite.sh runs two parallel Chromium passes and ffmpeg screen-blends fg over bg+matte.
+
+Set via `caption_layer: "bg" | "fg"` plan-level (default for groups without explicit `layer:`), and `layer: "bg" | "fg"` per-group to override for hybrid.
+
+**Decision rule — bg is default, fg is fallback, hybrid is for mixed semantic content.**
+
+For BODY captions (narrator + emphasis):
+
+1. **Find the actual clean zone.** Sample frames at 20/50/80% and mentally trace where the subject is (head, shoulders, gesturing hands). The clean zone is what's left. Top band above the head, bottom band below the shoulders, or off-center side column.
+2. **Anchor the plane in that zone.** Body caps fit comfortably with NO subject overlap → `layer: "bg"`.
+3. **If body cap stack inherently overlaps subject heavily (>40% per check-occlusion peak)** even at smallest reasonable fonts → body `layer: "fg"`. Subject fills frame too much for embed.
+
+For CLIMAX caption (the payoff):
+
+1. **Default: `layer: "bg"`, sized to maximally cross subject for embed effect.** The face/body eating part of the climax word IS the visual win. Don't shrink to avoid occlusion. Use the largest size that fits frame WIDTH (sub-pixel readable letters fully on-screen) — vertical position should land it across the subject's hair / forehead / face.
+2. **`layer: "fg"` for climax** ONLY when frame width physically can't hold a font big enough to feel climactic AND there's no compositional way to break the word across multiple lines that bg embed could carry.
+3. **Hybrid (body bg + climax fg)** is the canonical pattern for subject-fills-frame scenes. Body small caps stay bg — subject eats letter edges = embed texture (cinematic, not a bug). Climax goes fg ONLY because at impactful size + subject filling frame there's no place where bg climax could land readably (would be 50%+ eaten = past cinematic into broken). The opposite direction (body fg + climax bg) sacrifices the easy bg embed wins on small caps and forces the climax into a slot it can't survive — never do that.
+
+**Editorial split — the spatial form of body bg + climax fg.** When the hybrid above is laid out with **bg in the upper half and fg in the lower-third**, you get a magazine-cover composition for free — no separate template needed. The rule:
+
+- **Body caps (BG)** — placed in the upper half (top: 6-30%), at the head/hair zone. They get partially occluded by hair/forehead = vogue-masthead embed texture.
+- **Climax cap (FG)** — placed in lower-third (top: 70-85%), in front of subject's chest/below. It's fully clear, fully readable, dominates the bottom band.
+
+The viewer's eye reads top-to-bottom: first the partially-veiled body line ("decorative, atmospheric"), then the clean climax statement ("the point"). Same Z-axis layering as Vogue / Apple Keynote (decorative top behind subject + clear bottom in front), but driven by cinematic-cream's existing per-cap `layer:` field — no new template, no separate masthead track.
+
+Two timing modes inside this layout:
+
+- **Sequential cross-fade (default)** — body fades out as climax fades in over 0.3-0.5s. The brief overlap window IS the editorial dual-layer moment. Standard cinematic-cream behavior.
+- **Sustained overlap** — extend body's `out` to coincide with or extend past climax's `in` so both are visible together for 1-2s. Use sparingly: works when body line is short (≤3 words) and acts as a "kicker" above the climax. Long body phrases sustained alongside a fg climax = visual noise.
+
+**The plane-conflict rule for sustained overlap (debugged in Startup_Host).** If you extend a body bg cap's `out` into a window that contains another cap with `layer: "fg"` IN THE SAME PLANE, the two will visually overlap in the final composite — bg pass renders the extended bg cap, fg pass renders the fg cap, both at identical plane position, screen-blended on top of each other. Result: muddy double-text at the same spot.
+
+Before extending any body bg's `out`:
+
+1. Check what other caps occupy the body plane during the extended window
+2. If ANY of them is `layer: "fg"`, the extension causes plane overlap → don't do it
+3. Workaround: either (a) skip sustained overlap and use sequential cross-fade only, or (b) author the body kicker on a DIFFERENT plane / absolute position so the two don't share a plane
+
+Concrete example: Startup_Host has cg-3 "diving deep" (body bg, plane=body, 3.1–4.15s) and cg-4 "into what it really takes to build a" (body fg fallback, plane=body, 4.15–6.42s). Both occupy `plane=body`. Extending cg-3 to overlap with the climax cg-5 (6.42–8.06s) ALSO drags cg-3 across cg-4's window where cg-3 (bg) and cg-4 (fg) collide on the body plane. Sequential editorial-split (climax in lower-third, body bg already faded out) was the only safe option for this case. AI_Insights had no fg in body plane between kicker and climax, so sustained overlap worked there.
+
+When NOT to use editorial split:
+
+- Body and climax are both information-carrying full sentences → forces viewer to read both at once, fails. Editorial split needs the body line to be _atmospheric / setup_ (italic mood), climax to be _the payoff_ (bold uppercase).
+- Subject takes the full vertical column (no top clean zone, no bottom clean zone) → there's no upper or lower band to anchor either layer. Fall back to all-fg with crown.
+- Climax is a long phrase that wraps to 3+ lines in lower-third → eats too much vertical real estate, leaves no room for the body bg above. Either shrink climax or split into more groups.
+
+This pattern was historically what we called "hybrid" but the spatial framing — upper bg behind / lower fg in front — is what makes it read as editorial design rather than just two unrelated caption tracks. Keep this in mind when authoring per-cap `layer:` for hybrid scenes.
+
+Common mistakes (debugged in real cases):
+
+- Defaulting to "right column" because memory-wall did it → narrow 400px column forces long phrases to wrap 4-5 lines, pushing the stack DOWN into the subject's body. Fix: use top-band full-width instead, wider wrap fits fewer lines.
+- **Flipping climax to fg because "viewer needs to read it" → kills cinematic embed.** Climax is supposed to feel half-eaten by subject; that's the magazine masthead energy. Don't fix what isn't broken.
+- All-fg whole plan when subject fills frame → safe but sterile. Hybrid (body bg + climax fg) is almost always better — small body caps eaten = embed texture, climax fully visible since it had no readable bg slot.
+- Sizing caps before choosing the plane → typography is a function of plane geometry, not the other way round.
+- **Putting LONG multi-line phrases on bg in subject-fills-frame scenes.** "Subject eats letter edges = embed texture" only holds for short caps (1-3 words / 1 line). A 6-8 word italic phrase wraps 3-4 lines, and when subject's head is high in frame, **whole lines** of the phrase land deep in the body/face zone — entire words obliterated, not edge-textured. That's not embed, it's broken. **For long body phrases on subject-dense scenes: switch THAT specific cap to `layer: "fg"` even if other body caps stay bg.** Hybrid lets you mix per-cap. Sample the matte at the cap's time window: if head_top y is climbing and the cap's stack height extends into y > head_top, that cap needs fg.
+- **Subject doesn't move uniformly across the clip — sample matte per BLOCK time window, not just once per case.** Startup_Host's head_top swings y=224→96 across 8 seconds (128px / 10% of frame). A block plan that worked at t=2 (head low, plenty of space) breaks at t=5 (head high, no space left). Per-block matte sampling > one-shot per case.
+
+### Step 0 for ANY plan — transcript role annotation (mandatory)
+
+Before writing a single caption group, do a **pre-plan agentic pass** over the transcript. Read every word and grade it. This is judgment, not a lookup — context decides (e.g. "like" is content in "like this", filler in "like, um, yeah"). No hardcoded word lists; agent decides per token.
+
+**The grade is the SELECTION INPUT — it picks the render state** (`drop` / `rail` / `embed`); it is not itself a typography class (see SKILL.md § Caption model):
+
+| Grade | What it is | → render state |
+| ------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------- |
+| **drop** | Interjections/hesitation (um, uh, er, ah), self-corrections ("I think— I mean actually…" keep only final), pure stutters ("the the the") collapse to one | **drop** (not shown) |
+| **normal** | Ordinary spoken content — connective glue + the content words that carry the idea | **rail** (dense conversational glue may be trimmed for readability; content/structure words stay) |
+| **emphasis** | The 1–2 punch words in a phrase | **rail** + `emphasis` highlight (inline — stays on the rail) |
+| **peak** | The payoff of a beat/section — the line you'd say out loud paraphrasing it | **promote to embed** (apply the craft below); the single biggest of the whole piece = `apex` |
+
+A **peak** is per-beat, **not** per-clip: a short clip usually has one (its climax); a long/multi-section explainer has ~one per section. **Embed is scarce + spaced** — ≤1 per sentence/beat, never two adjacent or co-visible, ≥ a beat apart, at most one `apex`. (The old "1 climax / 2–4 emphasis / 4–10 body / 6–12 narrator / 2–8 drop per 10–20s clip" was calibrated for short single-beat clips; it generalises to "one peak per beat, spaced — everything else rides the rail.")
+
+**This step replaces any filler-word list.** If you find yourself reaching for a regex, you're doing it wrong — go back and judge per-token.
+
+Then build the plan from the annotated words:
+
+- drops → do not appear in any word entry
+- narrator → either fold into adjacent body groups OR become tiny italic subordinate groups if rhythm demands
+- body/emphasis/climax → shape the group structure, with typography matching role
+
+### The compositional unit is a PHRASE, not a chunk (read this twice)
+
+A **caption group** is a semantic phrase — typically 2–8 words bound by intonation and meaning. It is NOT a mechanical "2–4 word chunk". A group has ONE typography (one font-size, one weight, one case, one position) matching its role; the "every-word" feel comes from **per-word GSAP stagger INSIDE the group**, not from splitting the phrase into many tiny groups.
+
+Canonical reference — memory-wall, 12 spoken words, **4 groups**:
+
+- cg-0 `"Some memories feel soft"` (4 words, italic 600, right-top)
+- cg-1 `"like old film"` (3 words, italic 500, right-mid, smaller)
+- cg-2 `"but suddenly"` (2 words, upright 700 pivot, right-center)
+- cg-3 `"EVERYTHING IS SHARP AGAIN"` (4 words, uppercase 900 climax, spanning width)
+
+Every word is shown. Groups **cascade and accumulate** — cg-0 stays on screen while cg-1 enters below; by the climax, all 4 are visible simultaneously as a poem. Per-word stagger (~80ms) animates each word into its group in sequence.
+
+If you find yourself producing 15+ groups for a 10s clip, stop — you're treating verbatim as mechanical chunking. Go back, re-read the transcript, identify 4–7 phrases, and make them groups.
+
+**Don't split idioms, collocations, or bound phrases across groups.** "Not even kidding", "at the end of the day", "as a matter of fact", "whole lot of", "more or less", "a little bit", "kind of", "sort of", proper nouns ("Blackmagic Pocket 4K"), brand phrases, and other fixed expressions are semantic units. The climax of "I'm not even kidding" is the whole idiom, not just "KIDDING". The climax of the memory-wall canonical is "EVERYTHING IS SHARP AGAIN" as one group, not just "AGAIN". Splitting these across group boundaries breaks meaning AND typography (you can't render "not even kidding" with "not even" italic-small and "kidding" uppercase-huge — it reads as two different statements).
+
+### Captions are always verbatim
+
+Every word the speaker says gets captioned. The skill no longer ships a "highlight" mode — curated/edited transcripts produced fewer beats but lost the rhythm of the spoken sentence and ended up feeling like generic subtitle tracks. Verbatim with strong typographic hierarchy (small italic narrator → emphasis upright → climax massive uppercase) gives the cinematic feel without dropping content.
+
+The only words you remove from the transcript:
+
+1. **Pure phonetic interjections** (um, uh, er, ah, hmm) — not words, not captioned.
+2. **Exact immediate stutters** ("the the the" → keep one; "is is is is" → keep one, aligned with the phrase that follows). The viewer should see one "the", not three.
+3. **Self-correction backtracks** ("I think— I mean actually…" → keep only "I mean actually").
+
+**All content words AND structure words stay** (articles, conjunctions, prepositions, auxiliaries, pronouns). Dropping a structure word like "in some" or "and I've" or "out of it" is a bug, not a stylistic choice.
+
+### Planes — shared parent containers for spatial coherence (RECOMMENDED)
+
+The memory-wall and champion canonicals don't set `top:` on each caption. They have a **parent container** (`wall-plane` / `left-plane` / `crown-plane`) that owns the spatial anchor, and caps are children that stack automatically (flex column with gap) or replace (absolute at same anchor).
+
+Your plan.json can opt into this by declaring `planes` and assigning each group to one:
+
+```json
+{
+ "planes": {
+ "body": {
+ "css": "top: 4%; right: 4%; width: 720px; display: flex; flex-direction: column; align-items: flex-end; gap: 14px;"
+ },
+ "crown": {
+ "css": "top: 32%; left: 0; right: 0; text-align: center;"
+ }
+ },
+ "groups": [
+ { "id": "cg-0", "plane": "body", "css": "font-size: calc(0.08*var(--h)); font-weight: 600; font-style: italic;", ... },
+ { "id": "cg-1", "plane": "body", "css": "font-size: calc(0.10*var(--h)); font-weight: 800;", ... },
+ { "id": "cg-2", "plane": "crown", "css": "font-size: calc(0.20*var(--h)); font-weight: 900; text-transform: uppercase;", ... }
+ ]
+}
+```
+
+The plane CSS owns positioning (top/left/right + display:flex/grid/block). Per-group CSS owns **typography only** (font-size, weight, style, case, letter-spacing, line-height). **No top/left/right/position on a group when it's inside a plane** — the parent decides.
+
+**Typography is agent-authored per group, NOT looked up from a preset.** The `cinematic-cream` template locks only the DNA (Inter family, motion curves, `mix-blend-mode`, `cap_color` palette, text-shadow/filter derived from luminance). Everything else — `font-size`, `font-weight`, `font-style` (italic vs upright), `text-transform` (uppercase vs mixed), `letter-spacing`, `line-height` — is written by the agent, per group, in `plan.json`'s `css` field. No "cap-1 must be italic 600, cap-2 must be uppercase 900" rule. Read the scene + transcript, pick typography that matches the semantic role (narrator/body/emphasis/climax) and the visual weight the frame can carry. See [references/typographic-moves.md](typographic-moves.md) for _recommended_ combinations — treat as palette, not schema.
+
+When to use planes:
+
+- **Multi-phrase sentence in one home zone** — use a flex column plane. All body caps inside accumulate/stack automatically, no collision math. This is the memory-wall pattern.
+- **Body zone + climax zone** — two planes: body (flex stack) + crown (center). Body caps live in body-plane; climax pops in crown-plane. Cross-plane transition = earned break.
+- **Any clip with ≥3 body phrases** — single-plane flex stacking beats hand-placing each group's top% every time.
+
+### Picking the plane anchor — find the ACTUAL clean zone in THIS scene
+
+**Do not default to "right column" because memory-wall did.** Memory-wall worked because its subject sat left-center with a clean wall on the right. Different scenes have different clean zones:
+
+- **Subject centered (most selfies, vlogs)** → top band above the head is usually cleanest (clear sky / ceiling / wall). Right or left columns get eaten by shoulders or hands.
+- **Subject left (interview with right-column backdrop)** → right column cascade (memory-wall classic).
+- **Subject right (reverse interview)** → left column cascade.
+- **Two-shot or busy background** → may need to use a corner, or sit the caption on the ONE surface that's consistently clean (a solid jacket, a whiteboard, a ceiling).
+
+Before writing plane CSS, look at a frame sample. Mentally trace the subject's bounding box and hand-gesture reach. The plane anchors into whatever's LEFT — negative space where the cascade won't be eaten by body or busy backdrop.
+
+Small-size italic narrator text is especially vulnerable — it disappears into mottled backgrounds or body occlusion. Keep smallest caps in the cleanest part of the zone, not at the edges where subject extends.
+
+When NOT to use planes (the remaining free-mode use cases):
+
+- **1–2 isolated groups** with deliberately different positions — free mode is simpler.
+- **Specific clip-spanning motion** where a group needs to drift/move independently.
+
+Free mode (no `planes` declared) is still supported — each group's CSS owns its own top/left/right. Use when you genuinely need bespoke per-group placement.
+
+Wrong: "primary slot for 9:16 is top:12%". That's a lookup; it produces generic output.
+Right: look at THIS scene, find where captions will read cleanly, respect the speaker's framing, and pick a composition pattern that serves the content's narrative arc.
+
+Example patterns an agent can pick (not exhaustive, not ranked):
+
+- **Right cascade accumulating** (memory-wall): all groups right-aligned, stepping down in top%, they stay — final frame shows a poem. Works when subject is centered-left and there's clean right-column space.
+- **Center stack climax** (Sunset): italic openers at top, upright pivot mid, uppercase climax takes the full top as the final beat, earlier groups fade out before climax. Works when subject is centered and scene has clean sky + clean below-shoulders.
+- **Left-right split** (memory-wall variant): narrator voice on one side italic, statement voice on the other side upright, climax takes center. Works when subject has off-center clean zones.
+- **Single-line subtitle rail**: legit choice when scene is dense and no clean zones exist (busy background, subject fills frame). This is the "accessibility" fallback, not the default.
+
+Whichever pattern is picked, the agent's job is to **justify the choice**: "Subject is on the left, clean gradient sky on the right — I'll cascade right-aligned so captions have clean backdrop throughout." Write that reasoning as a `_notes` field in plan.json so the intent is inspectable.
+
+Anti-patterns to NEVER ship:
+
+- Alternating top↔bottom per chunk — reads as chaos (one sentence's words appearing in different vertical zones).
+- Locking every group to the same `top` value — reads as subtitle track, kills cinematic feel.
+- Placing body/narrator groups directly over the face when clean space exists — the Vogue-embed effect is for the CLIMAX word only, not default behavior.
+- **Dropping transcript words to fit caps in fewer blocks.** NEVER. Verbatim is verbatim. If 4 caps don't fit in 1 block, split into 2 sub-blocks of 2 caps each — keep all words. The only legitimate drops are SKILL.md's filler list (um/uh/exact-stutters/self-corrections), not "we ran out of room."
+- **Mechanically aligning all caps in a plane to share `out` time.** This makes everyone stay on screen longer, _increasing_ density. Wrong fix for the no-jump problem. Correct fix: split natural-handoff caps into separate blocks where each block's caps share `out` (same exit moment, no jump), and `next_block.in ≥ prev_block.out` (clean handoff between blocks, no overlap).
+
+**Block boundary three laws** (must hold for every plane in every plan):
+
+1. Within a block, all caps share `out` — they fade together, no per-cap exit jitter.
+2. Between adjacent blocks in the same plane, `next_block.in == prev_block.out` (or `next.in > prev.out` with a small gap). Caps from prev_block must FULLY exit before next_block's caps mount; otherwise the prev cap's exit at its `out` time triggers a flex reflow that yanks next_block's already-mounted caps upward = jump.
+3. `prev_block.out ≤ next_block.first_word.start` so next_block's first word still animates from its real spoken time (the in-time only constrains when the container mounts; word animations fire at their per-word `start`).
+
+A common mistake: setting `next_block.in` slightly EARLIER than `prev_block.out` to give the new block a head-start fade-in, while prev_block still has a different (later) `out`. The 50-300ms overlap looks invisible in the plan but produces a visible jump on screen because two caps with different `out` coexist in the same flex stack.
+
+- **Vertical gap between body bottom and crown top.** Looks disconnected ("The pace is" at top:3% with "UNPRECEDENTED" at top:20% creates 144px void). Bond the setup phrase + climax word in the SAME crown plane via flex-stack — the Street_Talk "and being / CONSISTENT" pattern.
+
+### Zone coherence — one sentence, one home zone
+
+**Never switch spatial zones mid-sentence.** A full semantic unit (sentence or clause) should live in ONE home zone (e.g. right column, or top band). The viewer's eye follows the phrase group. Ping-ponging between top/bottom/left/right for consecutive phrases of the SAME sentence reads as chaos — the reader has to re-find the caption every beat.
+
+Zone changes are earned at:
+
+- **Sentence boundaries** (period, long pause, topic shift) — allowed to move to a new home zone, often paired with a tonal shift (italic body → uppercase emphasis)
+- **The single climax** — the one break from the home zone, always allowed, often takes center-full-width
+
+Heuristic: if you find cg-N and cg-N+1 are in different zones (top vs bottom, left vs right) AND they're parts of the same sentence (no period/long pause between them), you've violated zone coherence. Fix by picking one home zone for the whole sentence.
+
+### The climax has to POP — not just "be a bit bigger"
+
+A climax caption that's the same size as body emphasis is a failed climax. The viewer's eye needs a clear visual break: THIS is the payoff.
+
+**Size the embedded climax to the FRAME, not to the rail (two-track rule).** The climax is a hero — its size is anchored to frame height: **`font-size: calc(0.16–0.22 * var(--h))`** (default ~0.18–0.20h; go bigger for more impact — it should dominate the frame, only width/readability caps it). It is **NOT** a multiple of the rail: the rail is a small standard subtitle (~0.045h), so "≥1.8× the rail" would yield a tiny, weak climax. Express rail, embed-body and embed-climax all as `var(--h)` fractions so they scale across resolutions — **never hardcode px**. The ratios below are a **floor / hierarchy check** (the climax must clear body-emphasis by ≥1.8× and the smallest tier by ≥2.5×), not the climax's sizing basis. Width is the real ceiling: shrink only if the word can't fit the frame at a legible size (see "Readability is a hard constraint").
+
+Contrast floor — the climax must at least clear these:
+
+| Ratio | Feels like |
+| -------------------------- | ------------------------------------------------------------------------------------------- |
+| **1.0-1.3× body emphasis** | Flat — the climax is just another beat. Fix it. |
+| **1.5-1.8× body emphasis** | Noticeable but not explosive. OK for subtle payoffs, weak for punchlines. |
+| **≥1.8× body emphasis** | Pops. Viewer's eye snaps to it. Target for "punchline" / "reveal" / "reaction" climaxes. |
+| **≥2.5× body italic** | Compare against the SMALLEST body tier too — the multi-tier jump is what creates hierarchy. |
+
+A quick audit script — before shipping, dump every plan's max-body vs max-crown font-size ratio, and flag anything <1.8×:
+
+```js
+const bodyMax = Math.max(...plan.groups.filter((g) => g.plane === "body").map(fsize));
+const crownMax = Math.max(...plan.groups.filter((g) => g.plane === "crown").map(fsize));
+const ratio = crownMax / bodyMax; // aim for ≥1.8
+```
+
+**Split pattern — when one word alone should carry the climax.** If the climax phrase is 2+ words ("and being consistent", "not even kidding") and one of them is the actual payoff, split into setup + payoff BUT keep them spatially bonded:
+
+- Setup words → small italic narrator (soft, trailing off) on line 1
+- Payoff word → massive uppercase on line 2, same plane, flex-stacked directly below
+- **Both groups live in the SAME (crown) plane**, flex-column, gap 4-8px. Not two different planes — otherwise "and being" sits in the top band and "CONSISTENT" sits mid-frame and they read as two unrelated captions.
+
+Crown plane CSS for split climax:
+
+```
+"crown": "top: 26%; left: 0; right: 0; display: flex; flex-direction: column; align-items: center; text-align: center; gap: 6px;"
+```
+
+Street_Talk canonical example: original was `"AND BEING CONSISTENT"` all in crown at 0.085h (same as body emphasis, ratio 1.0×). Rewrite: crown plane becomes a flex-column; `"and being"` → 0.055h italic at top of column (line 1); `"CONSISTENT"` → 0.11h 900 uppercase stacked below (line 2). The payoff POPs because of size contrast within a bonded 2-line composition, AND it crosses the subject's head since the crown column is anchored at ~26-30% top.
+
+Timing: both groups share `out` (at clip end or block boundary) so neither fades alone — they hold together as one composition. Setup enters first (soft fade-in), payoff enters later when the word is spoken (snappier present scale-in).
+
+**Readability is a hard constraint — bleed can't eat the word.** Your first move when a climax word overflows is NOT "accept the bleed, it's cinematic" — it's "shrink to the largest size that fits." Compute the max font size that fits the frame:
+
+```
+max_font_px = frame_width / (chars × char_ratio × letter_spacing_mult)
+```
+
+For "CONSISTENT" (10 chars), uppercase 900 (char_ratio 0.62), letter-spacing -0.05em (mult 0.95), 720px frame: `max = 720/(10*0.62*0.95) = 122px ≈ 0.095h`. Use 0.09h for a small safety buffer. The word fully occupies the frame edge-to-edge — that's already maximum visual impact without losing any letter.
+
+Cinematic bleed is only OK when **a few pixels of 1-2 outer letters** get mild cropping from scale-in animation or sub-pixel rounding — that reads as "bigger than frame." Any bleed that forces the reader to mentally complete missing letters (>15-20px per side on a 10-char word) is a BUG, not style. "ONSISTE" with 80px each side clipped is NOT a valid climax — it's broken.
+
+Hard rules:
+
+- **Readable first.** Every letter should be fully on-screen, with at most a few-px crop on the first/last letter.
+- **If max legible size doesn't meet ratio target**, raise impact via _other_ signals (weight 900, all-caps, bg head-cross, multi-line composition with setup word above), not via illegible bleed.
+- **Never bleed body/narrator captions.** Only the crown/climax is allowed any edge crop at all.
+- `OCCLUSION_SKIP=1` is an escape hatch for iterating; the shipped plan should pass `check-occlusion-v2.py --strict` (pixel-perfect via headless Chromium DOM).
+
+### Edge breathing + climax-crosses-head (bg showcase)
+
+Two placement tweaks that separate "looks like a caption sitting in the scene" from "looks like a pasted subtitle":
+
+- **Non-climax caps need edge breathing room.** Body-plane groups should NOT hug `left: 0; right: 0` flush to the frame. Add `left: 3-6%; right: 3-6%` (or `right: 30-40px` for pixel-anchored planes). The breathing sells the compositional choice — flush edges read as "default subtitle track", indented edges read as "considered composition". Top edge the same: `top: 2-6%` not `top: 0`.
+
+- **The climax SHOULD cross part of the subject's head — deliberately.** This is what makes bg-layer captions feel cinematic instead of just "text floating above the speaker". The effect is strongest when 20-40px of the word's last line dips behind the hair or forehead — viewer reads the word clearly AND sees it being occluded at the edge. Not "covered by the face" (unreadable), just "grazed by the hair" (legible + cinematic).
+
+ How to place the crown with intent:
+ 1. Sample the matte PNG at climax time: `f_{frame_idx:04d}.png` where `frame_idx = round(climax_time * fps)`.
+ 2. Scan rows from top until `alpha > 128` — that y is the subject's topmost pixel (usually hair).
+ 3. Position crown so the _bottom of the last line_ lands 30-80px below that y. For a 2-line crown at 0.085h on 1290h frame, line heights ~104px each; total height ~200px. If subject top is at y=445, set `crown.top` such that `top + height = 445 + 50 ≈ 495` → `top = 295px ≈ 23%`.
+ 4. Verify with checker — the HERO/crown peak occlusion target is ~30–55% (the embed effect; the head crossing the middle). Below ~15% it reads as a floating label (the hero-weak advisory fires); above ~65% the word is eaten (the gate FAILs). Small narrator caps: ~20–30% texture.
+
+ Practical rule of thumb: **crown peak occlusion 3-10%** is the sweet spot. The checker's number tells you directly — not a subjective "it looks good" judgment.
+
+ **Crown defaults are scene-specific, not template-wide.** Don't set `crown.top: 6%` because "that's what the previous case used." If the subject's head_top is at y=380 (29% of frame) and your crown is at top:6% with 100px height, the crown bottom lands at y=200 — 180px ABOVE the head, completely floating in sky, zero embed effect. Always sample the matte once per case and compute `crown.top` from `head_top - crown_height + (30 to 80)` so the crown's bottom edge dips into hair. This was a real bug across 6 cases until enforced.
+
+ FG-layer crowns skip this entirely (they render on top, no occlusion to showcase) — FG is announcement, not embed.
+
+### Pre-render occlusion + frame-overflow gate
+
+**`check-occlusion.cjs` (canonical, pixel-perfect)** is the only occlusion checker in `scripts/`. It auto-runs `measure-layout.cjs` (headless Chromium via Puppeteer) which loads the compiled `index.html`, seeks the GSAP timeline to 4 sample times per group (15/40/65/90% through window), and queries `getBoundingClientRect()` on every `.cap` and child `.w` span. Output is `_layout.json` with the actual rendered pixel coordinates of every word at every sample. Then it computes per-word, per-cap occlusion against the real subject-matte alpha (read via `sharp`):
+
+- **Per-word peak occlusion** — the load-bearing metric: a 5-word phrase where 3 words are fully eaten averages the same as 8 words half-eaten, but only one of those is shippable, so per-WORD peak is what gates. Per-word peak ≥65% = `obliterated`, ≥35% = `warn`. A `WARN` band hit on a single climax word is OK (cinematic edge crop); two adjacent words obliterated is not.
+- **Per-cap aggregate** — avg + peak occlusion across all samples. Cap fails at peak ≥50%.
+- **fg-layer caps are auto-skipped** (they render above the matte; no occlusion possible).
+
+**Why measure the real DOM, not estimate a bbox.** An earlier heuristic estimated each word's box from `char_ratio × font × text_length` and was wrong in both directions. Startup_Host case: it reported `cg-1 "podcast." OK at 9%/12%` because it guessed y=134 (above the subject's head), but the rendered DOM was at y=209 (mid-head) → actually `FAIL 54%/60%`. Same case, it reported `cg-3 "diving deep" FAIL at 76%/77%` while the real measurement was `WARN 36%/40%` (the box is wider than the head — most pixels clear, only descenders dip into the silhouette). Estimation is retired; `check-occlusion.cjs` measures the rendered pixels.
+
+**Frame-edge overflow** — the checker also flags when a measured word bbox extends past the canvas (text the ffmpeg crop would clip), reported as `cg-N [overflow] "word" off-frame: left Xpx, right Ypx (@Ts)`. Because cropped body text is always wrong, a clear glyph clip (>8px past an edge) **fails `--strict`**; a sub-glyph graze (≤8px — the first/last-letter crop the climax is allowed) is a non-blocking `[overflow-warn]`.
+
+**The checker reports facts, the agent applies judgment.** A FAIL is NOT an automatic "must re-layout" signal — it's evidence to interpret. Two competing goals coexist:
+
+1. **Readability** — every sentence must remain comprehensible to the viewer
+2. **Cinematic embed** — partial occlusion is the desired vogue-masthead effect; zero occlusion looks like a pasted subtitle
+
+When the checker reports a per-word obliteration (≥65%), apply this **3-step decision rule** before changing anything:
+
+**Step 1 — POS check.** Is the obliterated word a function word (the / a / an / of / in / on / at / to / I / it / is / are / was / be / that / this / which / and / or / but)? Function words are grammatically optional in most contexts — a 100%-eaten "the" or "I" or "of" usually does NOT break the sentence. Content words (nouns, verbs, adjectives, climax words) carry meaning — they MUST stay legible.
+
+**Step 2 — sentence parse without the word.** Mentally delete the obliterated word from the sentence. Does the remainder still convey the meaning?
+
+- "like this are why I travel" minus "I" → "like this are why travel" — first-person obvious from context, **OK**
+- "take it all in" minus "all" → "take it in" — complete English idiom on its own, **OK**
+- "a whole lot of information" minus "of" → "a whole lot information" — slightly broken but recoverable, **OK**
+- "diving deep into startups" minus "deep" → "diving into startups" — works fine, **OK**
+- "diving deep into startups" minus "diving" → "deep into startups" — loses the verb, sentence breaks, **NOT OK**
+
+**Step 3 — cinematic check.** A single content word at 30-65% partial occlusion is the _intended_ embed look (vogue-masthead "subject grazes the text"). Don't "fix" it. Only escalate to re-layout when:
+
+- a content word is ≥80% gone (not just partially eaten — almost fully missing)
+- two or more adjacent words are ≥50% obliterated (sequential damage compounds; "X X X really takes" with first three eaten is unrecoverable)
+- the obliterated word IS the climax / key noun the viewer is supposed to read (e.g. the subject of a sentence, a brand name, a product feature)
+- key letters of a climax word are eaten (e.g. "STARTUP" with the S gone reads as "TARTUP" — the partial-letter pattern matters more than the whole-word percentage)
+
+**Real examples from the 13-case batch** — all four caps below got a per-word obliteration FAIL, all four were correctly judged OK by this rule:
+
+| case | obliterated word @% | sentence | rule applied |
+| ------------------ | ------------------- | ------------------------------------- | -------------------------------------- |
+| Sunset_Stroll cg-1 | "I" 100% | "like this are why I travel" | function word + parses without it → OK |
+| Sunset_Stroll cg-3 | "all" 75% | "take it all in" | "take it in" is a complete idiom → OK |
+| yt_gtds cg-6 | "of" 69% | "a whole lot of information" | function word + recoverable → OK |
+| AI_Insights cg-2 | "that" 66% | "that don't replace human creativity" | relative pronoun, optional → OK |
+
+**When the rule says re-layout** — what to change:
+
+- per-word obliterated AND content word AND breaks readability → switch THAT specific cap to `layer: "fg"` (per-cap override, not whole-plan), OR shrink/reposition, OR split the cap into a different block where the subject isn't crossing it.
+- per-cap fail (peak ≥50%) when the whole stack is in the head zone → lift y or shrink the block.
+- frame-edge overflow → shrink font OR tighten `letter-spacing` OR split the phrase. Cropped text is ALWAYS wrong, no aesthetic excuse.
+
+**Override** (for iterating before shipping): `OCCLUSION_SKIP=1 bash render-and-composite.sh ` — don't ship past this without applying the 3-step rule and either fixing or consciously accepting each FAIL.
+
+### Accumulation capacity — split into blocks when the plane can't hold more
+
+Each scene's clean zone has a finite capacity for simultaneously-readable caps. **The agent must judge this before writing the plan**, not rely on CSS `bounded height` / `overflow: hidden` — those cause visual bugs (caps overflow off-screen, are clipped, or content is centered outside the plane bounds).
+
+Rule of thumb (capacity = max caps visible SIMULTANEOUSLY in one block):
+
+- **9:16 portrait, narrow right-column plane** (width ~380-420px) → max **2 caps** per block. Long phrases wrap to 2-3 lines; a 3rd cap starts spilling into the subject.
+- **16:9 landscape, subject centered** (e.g. selfie vlog) → max **2 caps** per block. Even if the frame is wider, a centered subject leaves narrow columns on both sides and hands reach far.
+- **16:9 landscape, subject on one side** (e.g. interview with clean opposite side — the memory-wall canonical scenario) → max **3-4 caps** per block. This is where accumulation shines.
+- **Top-band full-width plane** (either orientation) → max 1-2 caps before overflow into face zone.
+
+Capacity is about the specific scene — same orientation can have very different room depending on subject position and background complexity.
+
+When your phrase count exceeds the capacity, split into multiple accumulation blocks at **sentence or clause boundaries**. Example memory-wall canonical on a 12-word clip:
+
+- Block 1 (0–4.85s): `"Some memories feel soft"` + `"like old film"` — 2 caps accumulate, fade together at 4.85s
+- Block 2 (4.90–8.04s): `"but suddenly"` + `"EVERYTHING IS SHARP AGAIN"` — 2 caps accumulate on a cleared plane
+
+All caps in one block share the same `out` time (sentence boundary). Next block's `in` > previous block's `out` so the plane clears before the new accumulation starts. This gives each cap ~3-5s of read time, avoids overcrowding, and matches memory-wall's cinematic rhythm.
+
+**Why the shared `out` is load-bearing.** The template's exit path is `tl.set(sel, { opacity: 0, display: "none" }, g.out)` — at `out`, each cap releases its flex space so the NEXT block's caps can take the top slot from the plane's origin (no permanent downward drift). If caps inside the same block had staggered `out` times, the plane would reflow mid-block (cap 1 vanishes, caps 2-3 jump up, cap 4 arrives… visible jitter). With block-synchronized `out`, the reflow happens ONCE at the boundary — invisible to the viewer because the block fades as a unit. **Never stagger `out` times within an accumulation block.** If you need individual fade-outs, you're not accumulating — switch to stagger-fade pattern (one group at a time, no flex plane needed).
+
+**Anti-pattern: bounded `height` + `justify-content: center` on planes.** Do NOT write `height: 70%; justify-content: center` on a flex-column plane hoping to vertically center the caps. When the block's total cap height exceeds the bounded height, flex centering pushes content OUTSIDE the plane bounds on BOTH top and bottom — the topmost cap ends up above the frame (off-screen, unreadable). Instead:
+
+- Let the plane grow with its content — set `top:` (origin anchor) and let caps stack down naturally.
+- Use `gap:` between caps; don't try to "center the stack".
+- Trust the block-capacity rule above to keep the stack within the clean zone — don't paper over overflow with `overflow: hidden` (it clips the very caps you wanted the viewer to read).
+
+### Accumulation — vertical spacing, not single-line
+
+Accumulation works with multi-line phrases too — memory-wall canonical's groups are multi-word, right-aligned cascade in 16:9 landscape, and several wrap to 2 lines. They don't collide because **each group's `top` is placed below the previous group's bottom extent with a margin**.
+
+Math you must do before shipping accumulate:
+
+For each group, estimate its rendered height:
+
+- `line_count ≈ ceil(chars × font_px × 0.72 / usable_width_px)` (0.72 = Inter 900 uppercase; use 0.60 for italic/regular)
+- `group_height_pct ≈ line_count × font_size_pct × line_height × 100`
+
+Then for each pair (cg-N, cg-N+1) you want to coexist:
+
+- `cg-(N+1).top ≥ cg-N.top + cg-N_height_pct + 2%` (margin)
+
+If the math doesn't fit in the available clean zone (top-clear + bottom-clear zones minus face/body bbox), you have two options:
+
+- **Shrink fonts or merge phrases** so they fit.
+- **Switch persistence to stagger-fade** (groups don't coexist, no spacing constraint).
+
+9:16 portrait specifically: clean zone is typically top 0–32% + bottom 72–90%, split by the subject. That's ~50% of frame height usable. At 15% per 2-line group + 2% margin, you can fit ~3 accumulating groups in top zone. A 4th must either (a) be smaller to fit, (b) go to the bottom zone (zone change allowed at sentence boundary), or (c) replace an earlier one as climax.
+
+Landscape 16:9 has ~70–80% usable vertical — more room for 4–5 accumulating groups, which is why memory-wall canonical works cleanly there. Don't give up accumulation on portrait; just do the arithmetic first.
+
+### Persistence — how long each group stays (agent decides per case)
+
+The group's `out` time is not a default, not a rule, not a formula. It's an aesthetic choice. The same 5-group plan renders very differently depending on whether groups accumulate, stagger, crossfade, or roll — and each is right for different content.
+
+Patterns to pick from:
+
+| Pattern | What happens | Good for | Bad for |
+| ------------------------------------------- | ---------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------ |
+| **Accumulate-through-climax** (memory-wall) | All groups stay on screen until climax arrives, then all fade together | Poetic builds; emotional crescendo; ≤5 groups where each word matters | 8+ groups (screen crowds); punchy comedic beats (breaks the laugh) |
+| **Stagger-fade** (Sunset-style) | Each group fades ~0.8–1.5s after its words end; next enters into clean space | Independent punchy beats; clip where each phrase is its own moment | Long poetic builds that want the stanzas to coexist |
+| **Crossfade-handoff** | Current group fades during next's entrance (~200ms overlap) | Dense verbatim (6+ groups in short clip); conversational flow | Short sparse clips — feels like subtitle track |
+| **Rolling window** | Keep N=2–3 visible; earliest fades when N+1 enters | Longer transcripts (15s+) where full accumulation would crowd, but some layering is still cinematic | Clips <8s (rolling isn't perceptible) |
+
+Decision axes:
+
+- **Narrative arc** — crescendo/revelation → accumulate; list of independent points → stagger; dense conversation → crossfade
+- **Group count** — ≤4: any pattern works. 5–7: prefer stagger or rolling. 8+: crossfade is usually forced.
+- **Scene density** — busy background eats stale captions; accumulate only works when backdrop is clean enough that older captions stay legible.
+- **Clip length** — ≥12s erodes accumulation (viewer loses connection to earliest caption); prefer stagger or rolling for long clips.
+
+Write the reasoning in `_notes` in plan.json so the decision is inspectable and the agent's intent survives into review. e.g.:
+
+```json
+"_notes": "Morning_Jog: 5 groups in 8s. Narrative is crescendo (Okay→honestly→changed my life→KIDDING), and background is clean (trees, sky). Accumulate-through-climax — all 4 earlier groups stay visible so KIDDING lands on top of a built-up poem. Cascading right with varied top%/alignment so the stack reads as composition, not a subtitle column."
+```
+
+This is where per-case judgment earns its keep. The skill gives you a palette of patterns; the pick is yours.
+
+### Spatial coherence — the main slot rule
+
+**Every plan has ONE primary slot.** Most groups land there. Secondary slots exist only for intentional rhythm-breaks (once every ~30s, never per-chunk alternation). The old autogen rotation that threw each chunk to a different corner violated this and read as chaos.
+
+Choose a primary slot based on scene:
+
+- **9:16 portrait, subject mid-frame** → primary slot is `top: 4–20%` (sky / clean zone above the head). Secondary: `top: 72–78%` (below shoulders, above UI). Never: bottom 22% (UI/hand zone per [rule 17](aesthetic-principles.md)).
+- **16:9 landscape, subject left** → primary slot is the right column (`left: 50–55%`, right-aligned or centered in the column). Secondary: below subject.
+- **16:9 landscape, subject centered** → primary slot is `top: 10–20%` OR `top: 70–80%`. Pick one and stick.
+
+Within the primary slot, vary **size and weight** to create hierarchy (narrator small, body mid, emphasis large, climax huge). That's the rhythm inside a coherent position. Secondary slots are for **break-rhythm moments**, not for adjacent chunks just to "avoid collision".
+
+Collision validator still runs — but now the agent should be hitting it only in exceptional cases (intentional layering), not because every chunk is in a different place.
+
+**Verbatim recipe** — every word is shown, but it is **not** a flat TikTok subtitle rail. Use the cinematic DNA: per-group typography variation, position variation, size modulation. Italic openers, upright pivots, uppercase climaxes, spatial cascade, per-word soft/present tones — all of it.
+
+Chunking: walk the transcript and split into groups of **1–4 words** at pause boundaries (>0.25s gap = hard cut; within a phrase, chunk by emotional beat — short 1–2 word chunks for emphasis words, longer 3–4 word chunks for connective tissue).
+
+Typography per chunk — treat each chunk as a mini-beat. The sizes below are a **starting palette, not rules.** The agent picks the actual `font-size` per group based on the scene's clean-zone width, the phrase's character count, and the desired visual weight relative to neighboring groups. Shift by ±30% whenever the scene demands (narrow portrait column → shrink; wide landscape hero → enlarge). Pick from [typographic-moves.md](typographic-moves.md):
+
+- **Filler / connective** ("you know", "like", "so I was", pronouns, conjunctions) → italic 500–600, small (~0.05–0.08h starting point), softer tone, subordinate position. These read as narrator voice, not statement.
+- **Emphasis / content words** (verbs, nouns carrying meaning) → upright 600–800, mid (~0.08–0.12h starting point), centered or cascaded position, present tone.
+- **Climax / hook words** (the payoff word of the sentence) → uppercase 800–900, large (~0.14–0.22h starting point), full-frame or near-frame-width, present tone with scale pop.
+
+**Size is always relative, never absolute.** What matters is the _contrast ratio_ between a group and its neighbors inside the same plane — climax should be ~2× the emphasis, emphasis ~1.3–1.5× the narrator. An agent that writes `0.08h / 0.08h / 0.08h` for three caps in a plane has failed regardless of which bucket it picked from. The hierarchy is the point.
+
+Spatial composition: use the full frame as a canvas. Filler chunks tuck to corners or sit small at subordinate positions; emphasis chunks claim the middle; climax chunks own the frame. **Don't lock everything to `bottom: 12%`** — that's the boring-subtitle trap.
+
+Time windows: either spatially-separate overlapping groups (cascade, poem-accumulation) or hand-off so only one chunk shows at a time. Handoff at the same slot reads jittery (too many cuts in a short window) — prefer spatial cascade where adjacent chunks coexist at different positions, or accumulation blocks bounded by sentences.
+
+Layer: default `"bg"` for any chunk whose position has clean scene around it (sky, wall, the area above/below the subject) — that's the embed effect. Use `"fg"` only when the chunk's position would be ≥80% occluded by the body (e.g. chyron-style chunks at bottom in 9:16 portrait where the torso fills that zone).
+
+**Climax chunks across the subject — readability first.** The Vogue-masthead effect (big uppercase crossing the body) is the most cinematic move, but only if the word is still readable. Use `bg` across the subject when **all** of:
+
+1. The caption is multi-line (≥2 lines), so even if one line is mostly eaten, the others stay clean and the viewer can read the phrase. Single-line captions should never sit directly over the face/body — either reposition above/below the subject, or use `fg`.
+2. The subject's bounding box covers ≤40% of the caption's total pixel area. For 9:16 portrait with a typical head-and-shoulders subject (~30% vertical × ~50% horizontal at mid-frame), a caption at `top: 16%` spanning 4 lines × 0.14h meets this — the face eats one line, the other three read clean. A caption at `top: 40%` sitting directly on the face does not.
+3. Each individual word has visible letter endpoints on at least one side — a word that's split mid-letter with only interior strokes showing is unreadable even if "25% of total pixels" are covered.
+
+If any of these fail, either **reposition** the BG caption to clean scene (above the head / below the shoulders / into an off-center corner), or **fall back to `fg`**. FG for climax is the right call when the scene has no clean zone big enough — don't force the embed aesthetic at the cost of legibility.
+
+Rule of thumb: if you flattened your plan to just the climax chunks, the result should still read as a satisfying tweet-length headline. If it doesn't — you've under-varied your typography and the climax doesn't pop hard enough.
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+# Direction catalog
+
+10 distinct aesthetic directions the skill can express. Each is a complete look: font, motion, color, placement, rhetorical defaults. The agent picks by **content tone × shot type × platform**, not preset name.
+
+Current shipped templates (`modes/cinematic/*`) cover about 30% of this catalog. The rest are future ship-ready aesthetics.
+
+Classification matrix — pick direction by intersection:
+
+| Tone ↓ / Platform → | 9:16 portrait | 16:9 landscape | 1:1 square |
+| ------------------- | ---------------------------------------- | ------------------------ | ------------------------ |
+| **Documentary** | documentary-dignified (vertical variant) | documentary-dignified | broadcast-dignified |
+| **Conversational** | portrait-header + default | memory-wall OR champion | broadcast-dignified |
+| **Energetic** | high-energy-vlog | high-energy-vlog-wide | high-energy-vlog-sq |
+| **Poetic** | lyrical-poem-on-wall (portrait) | lyrical-poem-on-wall | chapter-card |
+| **Keynote/tech** | — (9:16 not ideal) | tech-keynote-confident | tech-keynote-confident |
+| **Investigative** | — | investigative-typewriter | investigative-typewriter |
+| **Music video** | k-pop-lyric | k-pop-lyric | k-pop-lyric |
+
+---
+
+## Direction specs
+
+### 1. documentary-dignified _(Errol Morris / PBS Frontline)_ — Standard-mode direction (no prebuilt Cinematic template)
+
+- **Family**: Söhne Mono OR GT Sectra for name cards; Inter for body
+- **Weights**: 500 body, 700 name card
+- **Color**: bone `#F5EFE6` on charcoal, OR charcoal `#1A1A1A` on bone. No accent.
+- **Motion**: burn-in (no animation). Held 0.5s past last word.
+- **Placement**: bottom-left block, 10% margin, locked position for whole interview.
+- **Rules**: 2-line max. Speaker name card once at first utterance + after each cut. No emphasis styling — gravitas IS the style.
+- **Rhetorical**: aggressive filler suppression. Every word is chosen.
+
+### 2. cinematic-noir _(Kyle Cooper / Se7en)_
+
+- **Family**: Distressed serif (Hoefler Text) + tight mono for detail
+- **Weights**: 700 mostly; thin italic ONLY for whispers
+- **Color**: off-white `#E8E0D0` with deep red `#8B0000` single-word accent for menace
+- **Motion**: typewriter with 10% chance of 1px jitter on entry; scratched etch for chapter beats
+- **Placement**: off-axis — avoid dead-center, slightly high-left or low-right
+- **Rules**: no emoji, no rounded corners, everything hand-feeling
+
+### 3. tech-keynote-confident _(Apple / Jony Ive ad)_
+
+- **Family**: SF Pro Display OR Inter, nothing else
+- **Weights**: 800 headline keyword, 400 context
+- **Color**: pure white on any bg; `mix-blend-mode: difference` fallback for bright scenes
+- **Motion**: swipe-reveal from bottom via clip-path (400ms); exit fades 400ms
+- **Placement**: dead center, large. NOT lower-third.
+- **Rules**: one caption on screen at a time. 2–5 words per caption. Long held silences between. Feels like slides.
+
+### 4. lyrical-poem-on-wall _(extends current memory-wall template)_
+
+- **Family**: Serif with personality — EB Garamond / GT Sectra / Caslon Italic
+- **Weights**: 400–500 only. **This direction rejects bold.**
+- **Color**: picks up wall via `mix-blend-mode: overlay`, opacity 0.85, no stroke
+- **Motion**: etch in 600ms, hold 1.5–3s, etch out
+- **Placement**: always on a surface in the scene (back wall, foam, whiteboard). Uses matte pipeline.
+- **Rules**: captions are **fewer** than spoken text — 40–60%. Intentional silences. No other tool does this; strong differentiation.
+
+### 5. high-energy-vlog _(controlled Hormozi)_
+
+- **Family**: Inter ExtraBold, uppercase
+- **Weights**: 900 always
+- **Color**: white body + ONE accent (`#FFD600` or `#00E676`) + narrow 2px dark stroke
+- **Motion**: word-pop with elastic, 60ms stagger; active word scales 1.15× on speech onset
+- **Placement**: center-frame, ~35% from top
+- **Rules**: max 3 words per frame. Hard break at breath pauses. Accent color on ~15% of words. **One full silence every 10s** (what Hormozi imitators miss).
+
+### 6. chapter-card _(Wes Anderson / Grand Budapest)_
+
+- **Family**: Futura Bold (modern) / Archer (warm) / Bodoni (formal)
+- **Weights**: 700 chapter title, 400 attribution
+- **Color**: pastel hue sampled from scene
+- **Motion**: full-frame static card between interview segments
+- **Placement**: centered card for chapters; lower-left name card during speech
+- **Rules**: chapter cards get their own beat (0.8s silence before, 0.4s after). Feels authored.
+
+### 7. investigative-typewriter _(Frontline / 60 Minutes / Morris Interrotron)_
+
+- **Family**: IBM Plex Mono OR JetBrains Mono
+- **Weights**: 500
+- **Color**: white with 3px shadow, no stroke
+- **Motion**: typewriter char-by-char 25ms/char; cursor blink 600ms after last char
+- **Placement**: bottom band with 40% opacity gradient up — **NOT a hard box**
+- **Rules**: one line only, two-line max. Every caption ends with 1-frame cursor-hold before next enters.
+
+### 8. k-pop-lyric _(music video typographic flex)_
+
+- **Family**: oversized display serif (Playfair Display / GT Super) + tiny mono detail line
+- **Weights**: display 900, mono 400
+- **Color**: deep saturated single hue per song/segment
+- **Motion**: cascade entries alternating sides; words cross subject with mix-blend
+- **Placement**: intentionally LARGE — sometimes bigger than the face
+- **Rules**: emotional/musical moments only. Never informational content. **Breaks rule #1 (subject wins) on purpose** — that's the whole point.
+
+### 9. broadcast-dignified _(BBC / NYT documentary standard)_
+
+- **Family**: Helvetica Now / Neue Haas Grotesk
+- **Weights**: 500 body, 700 name
+- **Color**: white on 40% black gradient pill (not hard box, not plain shadow — gradient is the signature)
+- **Motion**: 200ms fade-up, 150ms fade-down
+- **Placement**: bottom-center, 10% margin, title-safe locked
+- **Rules**: strict BBC — 160–180wpm, 32–34 chars/line, 2 lines max, 1.5s min gap. "Export to broadcast" mode. Boring on purpose. Never wrong.
+
+### 10. conference-lower-third-killer _(B2B but not lame)_
+
+- **Family**: GT America / Aktiv Grotesk
+- **Weights**: dual-weight name card — role 400, name 700, same size
+- **Color**: scene-sampled accent on name, white on role
+- **Motion**: name card swipes in from left 400ms on first appearance only; subsequent static
+- **Placement**: lower-left card + active-word highlight inline in dialogue above
+- **Rules**: mode for podcast clips, founder interviews, keynote pulls. Sophisticated without being arty.
+
+---
+
+## Which to ship next
+
+Current templates: `memory-wall` (roughly direction #4), `champion` (roughly a mix of #5 and #9), `portrait-header` (default vertical).
+
+Priority ship order based on competitive gap:
+
+1. **documentary-dignified** — no one else does this well; Errol Morris aesthetic is an unserved niche
+2. **lyrical-poem-on-wall** (as distinct template) — the one that most uses our matte-embed moat
+3. **high-energy-vlog** — matches but out-designs Hormozi/Submagic presets
+4. **tech-keynote-confident** — big for product launch videos
+5. **investigative-typewriter** — niche but highly distinctive
+
+---
+
+## How the agent picks
+
+1. Classify the clip: `tone × shot × platform` (see matrix above)
+2. Look up direction in matrix
+3. Read that direction's spec in this file
+4. Translate spec into plan.json parameters OR clone the canonical HTML from `examples/`
+5. Tune layout per scene (agent judgment, see `aesthetic-principles.md §1–18`)
+
+If no direction fits cleanly → **Standard mode**. Don't fake-fit an ill-matched direction.
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