Product and Engineering Executive

Software, AI, and things I’m building.

I’m a product and engineering executive. This is my personal space for writing, experiments, and projects I find interesting.

OpenAI’s Dot Found Me a NYC Apartment. I Just Showed Up.

I gave dot a goal, made decisions along the way, and showed up. It helped with the apartment search, viewings, paperwork, and the little things after signing.

02 / Operating model

Questions I keep coming back to

01

AI for
customers

Useful, trustworthy AI capabilities embedded in customer-facing products: retrieval, personalization, conversational interfaces, and the evals that keep them honest.

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02

AI for
employees

Governed access to models, tools, knowledge, and workflows: model gateways, usage and cost visibility, and adoption without shadow AI.

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03 / Recent notes

The dispatch index

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  1. 01 OpenGym: Own Your Workout Data A self-hosted gym and body-weight tracker with routines, workout logs, progress charts, and data imports. Optional AI coaching sits on top of a useful product.
  2. 02 OpenWork: Make Agent Capabilities Easier to Share Different AI’s OpenCode-based workspace combines a desktop app with shared skills and MCP connections. The useful test is whether a working setup transfers cleanly to the next person.
  3. 03 Playwright CLI: Give Coding Agents Browser Evidence Microsoft’s browser automation CLI lets agents exercise user flows and capture screenshots, traces, console messages, and network requests. Use the evidence alongside regression tests.
  4. 04 Promptfoo: Make AI Quality a Repeatable Check A CLI and library for evaluating and red-teaming AI applications, with declarative test cases and CI integration. Start with failures that matter to your product.
  5. 05 REA: Give Coding Agents a Way to Inspect Existing Software An MIT-licensed CLI and MCP server connects coding agents to reverse-engineering tools. The useful question is how well an agent can explain existing behavior with evidence.