docs: add "Bring your data" step to homepage journey

overview/tracebloc.mdx

@@ -1,5 +1,5 @@
 ---
 title: "tracebloc"
 description: "Build better AI together. Without moving data."
 mode: "default"
 ---
@@ -8,7 +8,7 @@
   ![Traceblocfederatedlearning](/images/traceblocfederatedlearning.png)
 </Frame>
 
 tracebloc is **your collaborative AI workspace** you deploy on your own infrastructure. Invite friends, peers, researchers, partners, vendors — anyone — to train, fine-tune, and benchmark models on your private data. Your data never moves.
 
 <CardGroup cols={3}>
   <Card title="Quick Setup" icon="rocket" href="/environment-setup/setup-guide">
@@ -16,28 +16,28 @@
   </Card>
 
   <Card title="Create a Use Case" icon="plus" href="/create-use-case/prerequisites">
-    Define datasets, set metrics, invite contributors.
+    Bring your data, set metrics, invite contributors.
   </Card>
 
   <Card title="Join a Use Case" icon="users" href="/join-use-case/join-use-case">
     Train and submit models on someone else's data.
   </Card>
 </CardGroup>
 
 <br />
 
 ## What is tracebloc?
 
 tracebloc is a **collaborative AI workspace** you deploy on your own infrastructure. Anyone you invite — researchers, partners, vendors, startups — can train, fine-tune, and benchmark models on your data. Your data never moves. Compliance is solved by architecture.
 
 **Who is it for?** Anyone who asks "which model works best on MY data?" and wants external input without the nightmare of NDAs, data-sharing agreements, and security reviews.
 
 **What makes it different?**
 
 - <Icon icon="server" /> **Your infrastructure:** runs on your Mac, Linux box, GPU server, or any Kubernetes cluster
 - <Icon icon="lock" /> **Your data:** stays inside your network. Contributors never see raw records.
 - <Icon icon="user-plus" /> **Invite anyone:** whitelist contributors by email. They see EDA and metadata. Never raw data.
 - <Icon icon="ranking-star" /> **One leaderboard:** every submission benchmarked under identical conditions. Ship the winner.
 - <Icon icon="shield-check" /> **Compliance by architecture:** data never moves. Sign off once on the architecture, not once per partner.
 
 <br />
@@ -60,8 +60,11 @@
 
     </CodeGroup>
   </Step>
+  <Step title="Bring your data">
+    Validate and stage your datasets on your cluster. Metadata syncs to the web app — raw data stays put.
+  </Step>
   <Step title="Define a use case">
-    Select datasets, set evaluation metrics. Use a template or build your own.
+    Pick from your prepared datasets, set evaluation metrics. Use a template or build your own.
   </Step>
   <Step title="Invite anyone">
     Whitelist contributors by email. Assign compute budgets. They never see raw data.
@@ -70,17 +73,17 @@
     Contributors submit models and train inside your environment. PyTorch, TensorFlow, custom containers.
   </Step>
   <Step title="Compare and decide">
     Every submission benchmarked under identical conditions. One leaderboard. Ship the winner.
   </Step>
 </Steps>
 
 <br />
 
 ## When Should You Use tracebloc
 
 <CardGroup cols={2}>
   <Card title="Vendor Benchmarking" icon="ranking-star">
     5 vendors claim they have the best model. Invite all five to submit. One leaderboard. One week. Decisions based on measured performance — not claims.
   </Card>
 
   <Card title="Cross-Org Research" icon="building">
@@ -102,7 +105,7 @@
 
 <CardGroup cols={2}>
   <Card title="Create a Use Case" icon="plus" href="/create-use-case/prerequisites">
-    Select datasets, define metrics, invite contributors.
+    Pick from prepared datasets, define metrics, invite contributors.
   </Card>
 
   <Card title="Join a Use Case" icon="users" href="/join-use-case/join-use-case">
@@ -110,7 +113,7 @@
   </Card>
 
   <Card title="Explore Workspaces" icon="compass" href="https://ai.tracebloc.io/explore">
     See what builders are creating on tracebloc.
   </Card>
 
   <Card title="Advanced Setup" icon="gear" href="/environment-setup/setup-guide">