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The PDCA loop that every lean person already knows also applies to working with a large language model (LLM), but with Prompt replacing Plan. The model does the Do. Check and Act stay mainly with you. Our previous article (“Prompt, Do, Check, Act”) covered this loop at a higher level; today we go deeper into the most important part of it, the initial prompting and discussion with the model for best results. We will use problem solving as an example throughout, as anyone can relate to the topic.
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The PDCA loop that every lean person already knows also applies to working with a large language model (LLM), but with Prompt replacing Plan. The model does the Do. Check and Act stay mainly with you. Our previous article (“Prompt, Do, Check, Act”) covered this loop at a higher level; today we go deeper into the most important part of it, the initial prompting and discussion with the model for best results. We will use problem solving as an example throughout, as anyone can relate to the topic.
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Gene Kim, DevOps leader and co-author of Wiring the Winning Organization, joins Tyson Heaton, LEI Executive Director of LeanTech/AI, and Art Smalley, Toyota veteran and LEI advisor, for a lively, enlightening, and wide-ranging conversation about artificial intelligence. They discuss how AI is forever changing the work of individuals and organizations, and explore the good, bad, and ugly of AI today and tomorrow.
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In 1987, Nobel laureate Robert Solow made an observation that still echoes: "You can see the computer age everywhere but in the productivity statistics."1
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There is a moment in lean transformation work that almost every practitioner has experienced. You have made real progress on the floor, in the office, or in the clinic. Flow is improving. Waste is visible. People are solving problems. And then you hit a wall, and the wall is technology.
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AI isn't just disrupting work — it's exposing the organizational immune system. Tyson Heaton reveals who's blocking progress and who's quietly building it.
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