Honest notes on building products, leading teams, and tinkering with new ideas.
Stop blaming cognitive fit for slow AI adoption. A deep dive into why competence theater is killing your engineering velocity and how startups use productive failure to win.
Big data excels at predicting behavior but fails at understanding subjective experience. Why product leaders need to rethink their relationship with data when building for humans.
Why treating AI as an outsourcer destroys technical intuition, and how engineering leaders can use the 'Spotter Dynamic' to build stronger teams.
AI doesn’t just cut headcount; it changes which tasks are scarce. Drawing on Autor–Thompson and operational history, this piece shows how automation reshapes wages, hiring, and training—and adds a 90‑day manager’s checklist.
AI coding tools promise superhuman productivity, but they're silently multiplying cognitive load. Why CTOs and CPOs need to measure developer cognition as carefully as velocity—before the burnout crisis hits.
From 1960s sports cars to AI-generated art, the relentless pursuit of measurable efficiency is stripping beauty from the things we make. An exploration of what we lose when optimization becomes the only goal.
A strategic guide for CPOs and CTOs on distinguishing signal from noise—from email open rates to lines of code to inflation metrics. Why the numbers on your dashboard might be lying to you.
No spam. No fluff. Just honest reflections on building products, leading teams, and staying curious.