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I build AI agents and the systems that keep them in line: gateways, policy engines, eval harnesses. Self-hosted inference on dual 4090s.
An agent platform for music label ops: 3 agents over 468K royalty lines, structured-first RAG, human-gated writes, and a 133-question eval suite with an exact answer key that gates CI.
An LLM gateway and control plane — and the measurement almost nobody publishes: at the default 0.90 threshold, a semantic cache answered 98 novel questions and 92 of them were wrong.