Writing
My articles on enterprise AI development, agent reliability, evaluation, and model infrastructure, published in O’Reilly, Lenny’s Newsletter, and Substack.
- Why I’m Leaving OpenAI and Lessons
What building Codex taught me about small teams, product intuition, and the work I want to take on next.
- Agent-Native Infrastructure: APIs, Interfaces, and Authorization
- What Would You Build With a Much Faster Classifier Model?
- Agent Skills Work but the Research Shows Most Teams Are Building Them Wrong
- Evals Are NOT All You Need
- Why your AI product needs a different development lifecycle
- MCP: Overhyped, Misunderstood, and Actually Useful
Conversations
Why most AI products fail: Lessons from 50+ AI deployments at OpenAI, Google, and AmazonAishwarya Naresh Reganti and I joined Lenny Rachitsky to discuss building AI products, earning customer trust, and improving systems after deployment.
Mentions
Building Codex’s Slack integrationSlack’s story on OpenAI quotes me about bringing Codex into the conversations where teams work.