Electrical engineer by training, product builder by craft, founder by instinct.
The question I keep coming back to lately: how an agent gets authority to act on someone's behalf, and how that authority stays scoped, logged, and revocable. Most agent demos end with an API key and hope. That's the gap APOA is trying to close, as an open-source layer on top of MCP.
Kyle Kingsbury joked an AI agent might get talked into a $950 grandmother burrito by El Farolito's chatbot. I think he was being optimistic. So I built a working prototype where the boundaries live in a signed token between the LLM and the execution layer, not in the prompt.
I gave an AI agent access to act on my behalf a few months ago. Within ten minutes I was scared of it. Not because it did anything wrong. Because I had no way to guarantee it wouldn't. The entire trust model was a system prompt and vibes. I built APOA as my take on a solution.
Open-source authorization for AI agents, modeled on power of attorney. The model never sees the credentials. TypeScript and Python SDKs shipped.
An open protocol where the services an agent calls sign tamper-proof receipts you verify with your own key. Find My, but for AI agents.
An SSH signing service that lets an agent sign within limits you set. High-stakes signatures need a human co-sign. Part of the APOA family.
Chat with an AI impression of anyone, then drop a few in a room and let them argue. Every voice is an AI rendition, never the real person.
A pre-flight manual for AI-assisted software: a severity model, a 25-point checklist, prompt templates, and seven postmortems. Five minutes, every deploy.
A take on the Street Fighter game I grew up with, starring tech CEOs instead of Ryu and Ken. Built over a Thanksgiving weekend with Claude Code, Cursor, and Nano Banana Pro.
Leading AI personalization and membership products inside the Amex mobile app. Built and mentored a team of product managers across membership and AI initiatives.
B2B agricultural fleet management platform. Built and scaled from zero to acquisition over ten years. Most of what I know about running a real business came from here.
Built the fitness recommendation engine that increased user engagement by 25%. Optimized backend API performance by 20%.
Architected incident management platform for 24/7 monitoring of high-frequency trading systems. Wrote business requirements and UX flows for financial products.
Coordinated transition of 5 RF semiconductor products from experimental stage to mass production, resulting in a $4M order for an advanced semiconductor developer.
Always looking to meet interesting people!