The Art & Science of Creative Action.
Methods of the Masters
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Jeremy studies the history of invention, discovery, and innovation, and then shares his insights daily.
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Warning: many time-tested, empirically-proven tactics to fuel creative output may challenge your definitions of “productivity” and “efficiency.”
Please try a few tasty samples below to make sure you’re ready for counter-intuitive research that will turbocharge your practice.
I've spent twenty years telling people to make time for innovation. Last week, in front of a room I love teaching, I finally saw the flaw in the advice.
The chief AI officer of Logitech texted me a list of my AI tells. My first instinct was exactly wrong.
The most important KPI of the AI era is one you've never heard of — because I made it up. It's called TTFS, nobody's dashboard tracks it, and yours is probably way too high.
The people most worried about AI are using it the most. The people using it least aren't worried — they've left the field. That quiet exit is the most expensive instinct in professional life.
I heard it inside the Fort Knox of plutonium, from some of the smartest engineers alive: "AI is just not there yet." Here's what that sentence actually costs.
The build took an hour. The insight took sixteen years. You probably have a number that would move your business and has never hit a dashboard — not because it's unmeasurable, but because no one ever named it."
What if the best AI economy isn't one person building a billion-dollar company, but a million people building businesses they actually care about? A guest essay from my Beyond the Prompt co-host Henrik Werdelin and his Audos co-founder Nicholas Thorne.
A reader wrote the same report twice — once with plain ChatGPT, once with his Teammate Stack. Same person, same AI model, same task. Only one of them sounded like him.
I own 850 bobbleheads of myself. Let me explain.