Chris Polaris is a systems thinker, author, and clarity architect helping managers, team leads, and knowledge workers cut through cognitive drag and work with structured precision. Using frameworks like the Friction Stack, Decision Surface, and the Clarity Engine Method, he writes practical guides for professionals who want to think more clearly and work smarter - with or without AI.
Nouveauté
Thinking AI
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Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format ePub est :
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- FormatePub
- ISBN8235820913
- EAN9798235820913
- Date de parution28/06/2026
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurIoakim Ioakim
Résumé
AI can generate answers. It cannot replace judgment. Most professionals use AI to produce faster output. The real opportunity is deeper than speed: using AI to think more clearly before deciding, writing, solving problems, or taking action. Thinking AI is a practical framework for working with artificial intelligence as a thinking partner, not an answer machine. Instead of chasing better prompts alone, this book shows how better framing, structured reasoning, comparison, reflection, and human judgment create stronger outcomes.
AI can help surface assumptions, organize complexity, widen perspective, and pressure-test ideas. But the responsibility for the final judgment remains human. Inside, you will learn how to:Frame problems before solving themBuild stronger reasoning with AICompare alternatives instead of accepting first answersImprove decision quality under uncertaintySurface assumptions and blind spots before they become mistakesCreate repeatable thinking systems instead of isolated promptsThis is not a book of productivity hacks.
Thinking AI gives professionals a practical operating system for combining human judgment with artificial intelligence without outsourcing responsibility. Better thinking produces better decisions. Better decisions compound over time.
AI can help surface assumptions, organize complexity, widen perspective, and pressure-test ideas. But the responsibility for the final judgment remains human. Inside, you will learn how to:Frame problems before solving themBuild stronger reasoning with AICompare alternatives instead of accepting first answersImprove decision quality under uncertaintySurface assumptions and blind spots before they become mistakesCreate repeatable thinking systems instead of isolated promptsThis is not a book of productivity hacks.
Thinking AI gives professionals a practical operating system for combining human judgment with artificial intelligence without outsourcing responsibility. Better thinking produces better decisions. Better decisions compound over time.













