In this episode of The Missing Manual, Julia Levy and Jenny Cotie Kangas teach you how to build an AI workflow for any repetitive task by working through a real example in real time. They use their own podcast production process as the case study, but the framework they walk through applies to almost anything clunky and manual that drains hours from your week. The three moves are simple: follow the friction, map the process, reverse engineer it with AI and automation.

Julia and JCK make the case that the real skill in working with AI is not picking one perfect tool, it's knowing when to use best-in-class for a specific gap and when good-enough all-in-one is the smarter call. Julia brings the operator's lens from her work in talent acquisition leadership, where she's evaluated this exact tradeoff with talent technology. JCK reframes the conversation around systems thinking, pushing listeners to zoom out from the specific use case and look at the underlying pattern they can copy.

A through-line of the episode is keeping the human in the loop on purpose. AI tools still produce odd outputs, hands with extra fingers, faces that drift across ethnicities, so the hosts are designing their workflow to let AI generate a slate of options while a human makes the final call. It's a practical model for anyone who wants to use AI without handing over judgment.

This is the kickoff of a multi-part series on The Missing Manual where Julia and JCK build the workflow live, including the stumbles. If you have a repetitive task at work or at home that is ripe for automation, this episode gives you the framework to start on it today.

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