Honest notes on building products, leading teams, and tinkering with new ideas.
AI tools always produce output, making it impossible to know if you're being productive or just burning time. Here's why the feedback loop problem matters and what you can do about it.
How product leaders can compete on value instead of price. A strategic framework for CPOs and CTOs to identify what customers actually care about and architect products that deliver it.
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.
No spam. No fluff. Just honest reflections on building products, leading teams, and staying curious.