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About This Book
         This book is written for anyone who has to work with artificial intelligence without having
         trained as an engineer. It assumes no programming, no mathematics, and no prior familiarity

         with the field. It assumes only that you have real work to do and that you would like to know
         when these tools help, when they do not, and how to tell the difference.

         The purpose is understanding before use. A tool used without a mental model produces
         confident output that nobody can defend. So the book begins with what these systems are
         and how they generate an answer, and only then moves to prompting, to choosing tools, to
         using them safely, to building workflows, and finally to teaching, research, and institutional

         adoption.

           ◆ Key idea:


           the aim is a defensible decision, not a faster draft. Speed is easy to demonstrate and easy
           to lose. What lasts is the ability to say what you used, what you checked, what you changed,

           and who is responsible for the result. Every chapter returns to that.

         What This Book Does Not Claim

         • It does not review named products or rank vendors. Products change faster than a book
         can be printed, so the book teaches criteria instead.
         •  It  does  not  promise  that  a  technique  will  work  on  every  model.  Where  evidence  is
         contested, it says so.
         • It does not present the author’s teaching frameworks as international standards. Every one

         of them is labeled as a teaching aid where it appears.
         • It does not cite a source it has not verified. Where a source could not be verified, the book
         says that too.
         How to Read This Book

         The  eight  chapters  follow  one  path,  from  understanding  the  technology  to  using  it

         responsibly inside an institution. Each chapter stands on its own, but the order is deliberate:
         later chapters assume the vocabulary the earlier ones establish.
         If you read straight through, the journey is this: understand the system, then talk to it, then

         choose it, then use it safely, then build a process around it, then apply it to teaching, then to
         research, and finally govern it.


         If you have a specific need, the chapter roles below will take you to the right place directly.
         A reader who only wants to write better prompts needs Chapter Two and the verification

         section of Chapter Four.

         A reader responsible for policy needs Chapter Eight, and Chapter Four for what it governs.





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