Navigating the AI WorldFront matter

How to use this book

Read Part A in full, then follow the route that matches your intended work. Each route ends with something you should be able to demonstrate.

Your goalReading routeEvidence of capability
New to AI at workPart A, 5A documented thirty-day task experiment with a baseline and a measured result
Use AI in your current rolePart A, 5⁠–⁠7, 19⁠–⁠20, 27Complete a useful task with checked evidence and appropriate data handling
Automate a repeatable processPart A, 5⁠–⁠9, 10, 13, 15⁠–⁠18, 22, 28Run a bounded workflow that handles errors and records its actions
Build an AI applicationPart A, Part B, Part C, 27⁠–⁠28Deliver a small service with authorized retrieval, evaluated output and controlled tools
Design or secure production AI3⁠–⁠4, 8, 11⁠–⁠22, 25⁠–⁠26Trace identities, data and authority through a failure or attack
Work on modelsPart A, 8⁠–⁠9, 17⁠–⁠18, 23⁠–⁠26Explain and measure the effect of a model or training change
Work on platforms or hardware9, 21⁠–⁠26Size and profile an inference workload against a service requirement

Choose your depth deliberately

Know means you can explain the concept and recognize its consequences. Use means you can apply it to a real task and verify the result. Master means you can diagnose failures, evaluate alternatives and design for others. Mastery is a role-specific investment, not the entry price for using AI.

The guide follows one company as it moves from policy questions to a controlled employee service. Software, analytics and contract examples show where the same principles lead to different designs. Use the five labs in chapters 27 and 28 to test understanding. The glossary and references are at the end.

For a short first session, read "Read this first" and chapter 5. Choose one task you already understand well enough to judge. Your next step should be an observable improvement in that task, rather than a longer list of technologies to study.

Read this part in full. It takes about twenty-five minutes and it is the foundation for every other route through the guide.

  • Read this first
  • 1 Understand what you are using
  • 2 What is actually happening when it answers
  • 3 Know where your data goes
  • 4 Judgement, overreliance and the fluency trap
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