AI Product Management & Customer Experience
How AI changes product discovery, working prototypes, customer feedback, absorption velocity, and the systems companies use to decide what should ship next.
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Introducing Synthetic Users, Customers, and Personas
Executive Deck ↗Exec summary ↗Listen ↗A synthetic user is an LLM agent calibrated to a real reader persona that can navigate your product, read your copy, and tell you what is wrong before a real customer does. Here is how to build them, where they break, and why your feedback loop is six weeks too long.
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Gen 1 Lights-Off Development: I Am Building It and You Can Watch
Executive Deck ↗Exec summary ↗Listen ↗Everyone talks about autonomous AI development. Norman is actually building it. A system of agents that predicts what players want, builds a browser game, ships it, measures it, and iterates, no human in the product decision loop. Here are the rules.
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We Kissed Specs and PRDs Goodbye. Product Managers Pass POCs Now.
Executive Deck ↗Exec summary ↗Listen ↗Nobody looks forward to backlog grooming. Nobody ever did. AI made it possible to skip the ceremony and hand engineering a working proof of concept instead of a story card. Here is what changes when you let it.
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One Hundred POCs a Day
Executive Deck ↗Exec summary ↗Listen ↗Picture this. You wake up to three fully functioning proof of concepts, each with a complete go-to-market plan, built and validated by agents overnight. A hundred started. Three survived. This is not 2030. You could have done this last month.
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Your Sales CRM Is Now a Tax, Not a Moat
Executive Deck ↗Exec summary ↗Listen ↗Your revenue team already exports pipeline data out of the CRM to do the real work somewhere else. You are not buying a strategic platform. You are paying $2.2 million a year for a database you already own, and four engineers could replace it in twelve weeks.

