The E-Myth revisited (again): ten lessons for the AI age in one read
Ten articles on Gerber's E-Myth, condensed into one practical read: capability maps, role specifications, governance, and why founders now stay close.
Ten articles on Gerber's E-Myth, condensed into one practical read: capability maps, role specifications, governance, and why founders now stay close.
1,300 people found faults in a real Monet because they were asked to find them. Why asking for feedback often creates the problems it seems to reveal.
Prompt engineering had its moment. Context engineering — giving AI the right information rather than cleverer wording — is the skill that matters now.
A court just ruled AI shopping agents are legally their users. Whether agents can buy from your site is now a product decision, so make it on purpose.
The New York Fed says remote work, not AI, explains most graduate unemployment. The accidental apprenticeship has gone — here's how to rebuild it now.
Most AI adoption just speeds up work that shouldn't exist. Drucker wrote the test for this back in 1963 — AI has finally made the answer cheap to get.
Menus did two jobs and we only ever complained about one. As AI removes them, discoverability stops being a layout problem and becomes a teaching one.
Execution discipline is just the order you do things in. Why most owner-operators lose the sequence, and three practical things worth doing this week.
AI models are commoditising and human intelligence always was. Being smart was never scarce — the container you build around it is what creates value.
Google doesn't read llms.txt, and schema won't get you cited. What an agent-ready website actually needs today, and the new decision it forces on you.