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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…
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…
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…
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…
免責聲明: 本頁面嵌入的 Podcast 和封面圖片來自 Michael S Galpert,歸其所有者所有,與 Listen Notes, Inc. 無關聯,也未獲得 Listen Notes, Inc. 背書。