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OpsToInnovator/README.md

Hi, I'm Jake Wyatt 👋

I'm building Bulwark — an open-source LLM API cost-guard proxy.

Hard daily and monthly USD caps. Bedtime Mode that trips when today's spend hits 2× your rolling baseline during sleeping hours. Exact-match caching with semantic-cache scaffolding. Cloudflare Workers. AGPL-3.0.

The goal is simple: stop your AI bill before it stops you.


What I'm working on

🛡️ Bulwark — LLM cost-guard proxy (OpenAI, Anthropic, Gemini). v1 shipped, v1.1 in flight (roadmap).

📐 ApexForm — precision CAD / 3D modelling consulting. Reverse engineering, surface modelling, jig design. The day job that funds the proxy.

🎓 Online MBA in flight. Lean Six Sigma in parallel.


What I'm thinking about

The split between agent-runtime budget enforcement and gateway-level cost guards. Both are valid, both have different failure modes, and the honest production answer is probably both with a clean handoff. See the open Discussion on Velocity and Bulwark's DESIGN.md if you want the long version.


Talk to me about

LLM cost infrastructure · agent runtimes · API rate limits · circuit breakers · distributed budget state · provider fallback chains · semantic caching · anything in the "AI bills are out of control" space.

Open an issue, start a discussion, or fork the proxy and tell me what's broken.


📍 Halls Head, Western Australia · 🇦🇺

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