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Hi, I'm Jake Wyatt πŸ‘‹

I'm building Bulwark β€” an open-source LLM API cost-guard proxy.

Hard daily and monthly USD caps. Bedtime Mode that trips when today's spend hits 2Γ— 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

πŸ›‘οΈ Bulwark β€” LLM cost-guard proxy (OpenAI, Anthropic, Gemini). v1 shipped, v1.1 in flight (roadmap).

πŸ“ ApexForm β€” precision CAD / 3D modelling consulting. Reverse engineering, surface modelling, jig design. The day job that funds the proxy.

πŸŽ“ 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 Β· agent runtimes Β· API rate limits Β· circuit breakers Β· distributed budget state Β· provider fallback chains Β· semantic caching Β· 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.


πŸ“ Halls Head, Western Australia Β· πŸ‡¦πŸ‡Ί

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