I've spent over 13 years in product management, building products across growth-stage companies and enterprise organizations. Throughout, the throughline has been a deep interest in systems thinking: understanding how incentives, feedback loops, and constraints interact to produce outcomes that nobody planned.
Along the way I worked as a delivery manager and Agile coach, running cross-functional teams and coaching organizations through iterative ways of working. That combination of product strategy, delivery mechanics, and team coaching shaped how I think about AI adoption: not as a tool swap, but as a system change.
When AI started showing up in shipped products rather than just research papers, I got obsessed. Not because of the hype, but because it broke something fundamental about the product role: the assumption that insight generation, synthesis, and ideation require sustained human attention and slow iteration cycles.
I started this site because I couldn't find what I was looking for: honest, experienced-PM-level thinking about AI in product that wasn't either "AI will take your job" doom or "here's how to write ChatGPT prompts" beginner content. I wanted to think out loud with people who've already internalized PM fundamentals and are genuinely trying to figure out the next layer.
So that's what AIPM Insights is: a place to work through ideas in public, share what I'm actually using and thinking, and hopefully contribute something useful to anyone building products seriously in this era.