Lessons, frameworks, and stories from the trenches of building companies.
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.
The one-person company is real. Here is the operating model solo founders use to reach company-scale revenue, plus the four ceilings that still break it.
AI now does the thinking for you, and cognitive debt is the bill: the judgment you quietly lose by offloading it. Here is what founders should never hand over.
AI products average a 52% gross margin, not the 80% that SaaS promised. Here is why the playbook breaks, where the margin leaks, and how to win the points back.
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.
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