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⚠ Warning: a correct-looking reference is not evidence.


           This  book  was  written  while  public  documents  were  being  withdrawn  because  their
           reference lists contained sources that did not exist. Chapter Seven treats the problem
           directly. The same discipline was applied to this book: a source that could not be verified
           was removed rather than dressed in a citation format.


         Contents

         Chapter One: What Is Artificial Intelligence?
         How can we understand artificial intelligence before we use it?

       • 1.1 AI Around Us: Where Does It Add Value?
       • 1.2 What Is Artificial Intelligence, and What Does It Not Mean?
       • 1.3 Types of Tasks Performed by AI

       • 1.4 How Do Systems Learn from Data?
       • 1.5 How Do Language Models Generate Answers?
       • 1.6 What Does AI Usually Do Well?

       • 1.7 What Does AI Not Guarantee?
       • 1.8 Why Does AI Succeed at One Task and Fail at Another?
       • 1.9 Why Does Human Judgment Remain Essential?

       • 1.10 Practical Lab: Mapping AI Use in Your Work
         Chapter glossary: 39 entries.  Figures: 8.  Tables: 11.  Exercises: 7.  References: 16.
         Chapter Two: Talking to AI, the Craft of Prompting

         From a passing question to a clear task and a usable professional output
       • 2.1 What Is a Prompt, and Why Does Context Change the Result?
       • 2.2 Ask, Instruct, Collaborate: Three Levels of Interaction

       • 2.3 The Anatomy of a Professional Prompt
       • 2.4 From a Simple Prompt to a Professional One
       • 2.5 The PACFT Model: A Quick Recall Tool by the Author

       • 2.6 Examples and Patterns: When Showing Beats Describing
       • 2.7 Language, Media, Decisions, and Stability
       • 2.8 Iterative Refinement: Diagnose Before You Rewrite

       • 2.9 Prompting Reasoning Models and Structured Outputs
       • 2.10 Critique, Sycophancy, and the Limits of Self-Review
       • 2.11 Managing Long Tasks and Large Documents

       • 2.12 Common Mistakes and the Limits of Prompting
       • 2.13 A Prompt Library: From Personal Text to a Testable Asset

       • 2.14 Practical Lab: From a Weak Request to a Tested Professional Prompt
         Chapter glossary: 36 entries.  Figures: 9.  Tables: 19.  Exercises: 9.  References: 21.



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