Blog
Thoughts on AI product management, development, and leadership.
Latest insights on building AI products that actually work, leading technical teams, and navigating the intersection of product strategy and emerging technology.
Latest Posts
I Turned Down an AI PM Job Because I Couldn't See a Moat
I got to the final round of an AI PM interview. The company was early-stage, experienced team, solid funding, growing fast. They wanted to move forward. I said no. Not because of the team or product, but because I couldn't answer one question: What does success look like if we're one update away from irrelevance?
A Vibe Coder's Guide to Not Shipping Vulnerabilities
New research shows 83% of AI-generated code that passes tests contains exploitable vulnerabilities. Here's what the data reveals and what actually works to ship secure code.
Why AI Observability Beats AI Performance
While everyone obsesses over the latest AI models and context windows, the companies actually scaling AI are solving a much less glamorous problem. They can see what their agents are doing.
Why Your AI Strategy Needs a Reality Check
Most enterprise AI projects fail not because the technology is inadequate, but because consultants are selling deterministic promises for probabilistic systems. How to build realistic AI strategies that actually work in production.
Evolving AI Evaluation: What I Learned Building Creative Content Systems
How implementing Paweł Huryn and Hamel Husain's methodology at Templatiz revealed new evaluation paradigms for creative AI systems, including context-first evaluation, temporal loops, and multi-modal assessment strategies.
Most Teams Aren't Failing—They're Succeeding at the Wrong Thing
Why product models break, and how to lead with impact. A look at the 'low-impact death spiral' and how to realign teams around business-critical outcomes instead of just following process.