WISER Method Master Playbook: Build What Matters with AI First Principles

Most AI initiatives fail. Not because the technology is broken, but because organizations treat AI like software. Lock it down and you kill its value. Let it roam and it drifts. Mistakes ship and scale. The problem is not the model. The problem is the playbook. The WISER Method is a field manual for teams building AI systems that actually work. Written by Robb Wilson and Anthony Franco, two practitioners with twenty years of shared experience shipping AI systems for the Fortune 100, this book delivers a systematic approach to AI implementation built on AI First Principles, an open-source framework of twelve constraints governing how AI systems succeed and fail. The book is structured using cognitive layering. Each chapter builds on the last. By the time you reach the method, you have the mental models to use it. By the time you reach the case study, you recognize the patterns. Inside you will find: a proven framework for thinking about AI as a strategic capability, not a technology project. A full-length narrative case study following one company from discovery through deployment. Twenty-six Plays with objectives, inputs, steps, success criteria, adaptations, and pitfalls. Over twenty downloadable templates ready for day one. Advanced frameworks for risk assessment, autonomy calibration, measurement, and knowing when to rebuild. For leaders, the book provides roughly 80 pages of strategic foundation: enough to sponsor well, fund wisely, and recognize when things go wrong. For practitioners, the entire book is a workbook. Part IV is where you will spend most of your time in the field. WISER stands for Witness, Interrogate, Solve, Expand, Refine. Five canons. One method. Built by people who ship. Published by First Strategy in association with UX MAG.…