Where product craft meets agentic execution. Essays on AI-native product work—testing multi-agent workflows, dissolving role boundaries, and figuring out what skills actually matter.
01
When AI agents execute entire workflows—not just assist. How to design for delegation.
02
What PMs become as AI handles roadmaps and specs. From executor to architect.
03
User research when your research assistant is AI. Speed without losing depth.
04
Running product teams where humans manage AI agents. Org charts for the agentic era.
05
Tools built with AI as core, not bolted-on. What replaces traditional roadmapping.
06
Speed vs. depth. Deskilling. Accountability when agents ship the wrong thing.
Building products where AI is the core. You need playbooks that don't exist yet.
Your job is changing. What skills transfer and what you need to learn.
The boundary between roles is dissolving. You live in the overlap.
You want AI tool reviews, hype pieces, or advice without evidence.
Most SaaS companies are asking the wrong question about AI. Instead of adding AI features, they should ask: if AI agents are doing the work, does the product still need a UI at all?
AI is transforming how companies are built. From feature factories to code factories to company factories — why product managers with engineering skills are best positioned to build the first one-person billion-dollar companies.
A collection of essays exploring AI-native product work. I write about what product work looks like when AI is the executor and humans are the architects—not "AI for PMs" but the actual practice of building with agents.
Three ways: (1) I'm a practitioner actively building with agents, not an observer. (2) No listicles, no hype. (3) 20 years of shipping experience means I know what actually works versus what sounds good in theory.
Essays publish here first, then condensed versions go to LinkedIn. This site always has the full, original version.
I write when I have something worth saying—usually every week or two. Quality over quantity.