Lessons, frameworks, and stories from the trenches of building companies.
Hire vs automate is not a cost question. Here is a founder's framework for which work to hand an AI agent, which to keep human, and why the line matters.
AI made gathering and drafting nearly free. The one skill it still cannot do, synthesis, is your real edge. What synthesis is, and how to build it as a founder.
AI token prices keep falling, yet AI bills keep climbing. The efficiency trap explains why cheaper compute compresses margins, and the discipline that fixes it.
One person with AI does the work of twenty while enterprises spend billions on deployment help. The AI adoption paradox, mapped, plus the founder playbook.
AI now does the junior work that used to turn beginners into experts. Inside the apprenticeship gap, and the system founders use to keep forming real skill.
Most AI pilots never reach production. The Production Gap explains why demos die before launch and the five gates every founder has to cross to ship real AI.
Speed to lead decides who wins the deal. The average company takes 42 hours to reply and loses to whoever answered first. How to close the response gap.
The AI productivity paradox: more tools and faster output, yet you ship less. Why AI floods your unfinished work, and how to finish more by starting less.
AI product pricing is breaking as agents collapse seat counts. Why per-seat models fail, and a framework to move from seats to outcomes without killing revenue.
When AI can build anything, taste becomes the last moat. Why taste is a trainable skill, not a gift, and the exact system founders use to build it on purpose.
Building something interesting? Looking for an investor who’s been in the trenches? Or just want to say hello? I’d love to hear from you.
One email when I publish. Essays on reskilling, rewiring your mindset, and building your next thing. Free, no spam, unsubscribe anytime.