Keep codingbefore AGIreplaces me.
Until then, building software that turns frontier models into products people actually rely on.
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Start hereEveryone's Burning Millions on AI Coding. I Tried to Fix the Bill — and Built the Wrong Thing.Read the essay→
Recent
writings.
- Three Tools Want to Cut Your AI Token Bill. They're Fixing Three Different Leaks.Caveman, Headroom, and the proxy I built all promise cheaper agents. Put side by side, they attack three different points in the pipe — and only one of them is aimed at the tokens that actually cost money.→
- Everyone's Burning Millions on AI Coding. I Tried to Fix the Bill — and Built the Wrong Thing.I spent days building a proxy to cut my AI coding bill. The benchmark deleted it — and showed me the one setup change that actually cuts cost by an order of magnitude. It wasn't the model.→
Real systems, running in production.
Voice AI Receptionist→Self-hosted AI voice agent for live operational workflows, turning phone conversations into structured actions and dispatch data.Active client workHouseparty→Local-first multi-agent orchestrator for Codex and Claude Code, with persistent terminals, shared memory, and remote supervision.Open sourceNorse3→A real-time defense layer for AI-powered support. It moderates every message in the live path, enforces policy inline, and gives operators a console to investigate incidents.Case-study readyHannah→Cache-aware proxy for Codex and Claude Code that cuts token waste, improves cache efficiency, and makes session costs measurable.Open sourceAshlock Trading→Systematic trading research platform spanning live options, intraday crypto microstructure, and statistically rigorous strategy validation.Active research + live options
The better the models get, the more the engineering around them matters. The hard part keeps moving up the stack.
VoiceReal-time voice agents, live on the phone.
AgentsInfrastructure for long-running coding agents.
SafetyGuardrails that let models act safely.
MarketsQuantitative trading research and systems.