Selected work
Each project carries the same through-line: state the capability, then state the leash. They span production work in a high-stakes environment, open-source repos that are public and verifiable, and agent teams that run real businesses against real money.
Production
2 case studiesProduction agent systems in a high-stakes environment
I design and run production agentic systems with guardrails: multi-agent work where capability is bounded by hard safety limits, with a human on every consequential decision.
Real stakes, bounded by designLocal-first practice assistant
A Windows desktop app for a solo therapist, built on the Agent SDK, that handles session notes, scheduling, intake, and billing. The sensitive data is encrypted and never leaves the device. Open-source and anonymized.
Privacy is the architectureOpen source
3 case studiesVantage OS
A Claude Code plugin where a coordinator routes every request to the right skill or sub-agent, then gates real-world actions through a QA filter and a permissions-tier system before they reach the human.
10 skills, 8 agents, publicAgent Skills
An optimizer that finds the single highest-leverage move in any context, and an orchestrator that plans a mission into a wave-based DAG of parallel sub-agents, gated by an auditor.
7 agents, standalone, publicPrediction-Market Automation
Scheduled, read-only samplers that build a time-series of Polymarket and Kalshi order books to test whether hourly prediction markets are ever actually market-makeable, with hard no-trade and no-write rails baked into every task.
Safety rail is the pointAgent-run businesses
2 case studiesAn agent team that runs my car-rental business
I built a team of agents that runs the back office of a car-rental business I own. The agents handle day-to-day operations and the work that scales the team, which cuts my hands-on time and operating costs.
Real business, real liabilityAn agent team behind a product launch
A phase-gated team of agents behind a consumer-product launch: validation, supplier sourcing, brand, storefront, and early marketing. The agents do the legwork; a human approves every dollar and every launch.
Spend gated by a human