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Thanh Pham does not begin an AI setup with a long list of tools. He begins with one repeated task, one result a person can recognize, and one clear reason to use it again. In this episode, Michael talks with Thanh about helping executives move from curiosity to practical use. Thanh demonstrates sm…
Matt Van Horn can turn a personal annoyance into a useful AI tool in a day. His method is simple: start with a problem you actually have, give the agent enough context, ship the smallest useful version, and let real users decide whether it should grow. In this episode, Michael talks with Matt about…
Sam Gaddis built an AI tool to help him and his wife fight better. It transcribes conflict in real time, tracks who is dominating the conversation, looks for destructive patterns, and can recommend a pause when things get too heated. That deeply personal experiment is also the clearest window into…
Priya Rose can walk her daughter to school, mention work in an ordinary conversation, and come home to find that an AI agent has done it. Then the same setup published a casual thought to her company’s live website. Priya is a software engineer and cofounder of Fractal, where she teaches people to …
Cathryn Lavery uses personal AI for the work that creates friction at home: family logistics, complicated travel, and information she meant to organize years ago. Her approach is concrete: give the assistant context, give it a narrow job, and preserve human approval for decisions that matter. In t…
Rechtliche Hinweise: Der auf dieser Seite eingebettete Podcast und das Bildmaterial stammen von Michael S Galpert, das Eigentum seines Eigentümers ist und nicht mit Listen Notes, Inc. verbunden ist oder von diesen unterstützt wird.