The book
When it's Better with AI
Professional augmentation through the use of AI. From strategic analysis to technical production.
What it is about
How to apply AI with rigor and method in technical production, complex analysis and support for strategic decisions.
Who it is for
Analysts, developers, managers and consultants who want to move from occasional to advanced use of AI.
Why this book
The literature on AI splits between the critique of the hype and the practical manual, and says little about the distance between what AI can do and what reaches the user ready to use. The book offers a method for closing that distance before, during and after each use: choose the tool by the type of work, structure and anchor requests in sources, and validate every result.
Other books say what AI can do; this one says when it's better with it.
"The purpose of this book is to guide professionals in applying Artificial Intelligence (AI) technologies with rigor, responsibility and method in their work of generating and applying knowledge."
From the preface (translated)
The four ideas
What organizes the book
Cross-cutting functions
Four reasoning patterns present in any task
The economics of friction
AI's power versus how much of it reaches the deliverable
Seven archetypes
Which AI is best for each work profile
Governance
The “zero hallucination” principle, human validation, privacy and intellectual property
The chapters
- Introduction
- Method and Organizing Criteria
- Canonical Taxonomy of AI Use
- Conceptual Framework – Cross-cutting Functions (Metacases)
- The Economics of Friction (Streamlining as an Enabling Layer)
- Operational, Analytical and Creative Use Cases
- Strategic-Synthesis Use Cases
- Gallery of Professional Archetypes
- Governance of Quality, Reliability and Ethics
- Systemic Coherence and Internal Traceability
- General Conclusion