Building at the agentic frontier
Not web apps — autonomous agents. I build AI that reasons, takes action, and runs itself: a governed fleet that researches, writes code, monitors, and self-heals — 24/7, on a local-first model stack, while I sleep.
Founder @ DCYFR Labs · Head of AI@ GameShark Labs · remote
I build autonomous AI systems that operate the same tools people do.
They reason, take action, and run entire workflows — research, code, ops — for hours or months, so I ship outcomes, not keystrokes.
Chat answers. Agents act. I operate the fleet.
Selected work
Not a stack of frameworks — the autonomous machinery I've built, shipped, and keep running.
A governed swarm of AI daemons — research, code review, monitoring, self-healing — running a 30-minute cognitive loop on a local-first model stack, under a hard spend gate with metacognition to stop it spinning.
The portable TypeScript runtime my agents think in — model routing across local and frontier tiers, tool-use, and MCP wiring you drop into any project.
The rails that let agents take real actions without going off the rails — sandboxes, kill-switches, per-process credential isolation, and enforced spend limits. Autonomy you can trust.
Proof the fleet ships real product: a backer-funded consumer app taken end-to-end — auth, payments, content pipeline — largely by agents.
Ventures
Writing & garden
Essays when they're finished; a digital garden of evergreen notes while they're still growing.
Now · last synced Jul 2026
Teaching the fleet to plan. Multi-step missions the agents decompose, execute, and grade themselves — with me out of the loop.
Raising the trust ceiling. Hardening the safety model so agents can take higher-stakes actions without a human gate on every step.