AI, Made Human

Who this ebook is for

Nontechnical beginners who want a practical way to brief AI tools, check claims, protect information, and review actions.

Revised and expanded edition. Ten chapters, five in-depth worked lessons, an integrated practical project, a subject glossary, ten worksheets, and a four-week plan.

Read an excerpt

Generative AI systems produce outputs such as text, images, or audio from patterns learned during training and information supplied at use time. A language model can generate a plausible continuation of a request without establishing that every statement is true.

From AI, Made Human, revised and expanded edition, Paper & Pixel.

Inside the book

1. Fluent language is not proof
2. Choose work you can judge
3. Give the task a usable shape
4. Share less, with a reason
5. Check claims where they will be used
6. Ask for changes you can inspect
7. Look for missing people and assumptions
8. Build review into the sequence
9. Distinguish a suggestion from permission
10. Keep a small record of what works

Also included: 10 reusable worksheets and a four-week practice plan. Page counts include the cover, front matter, worksheets, and editorial notes.

Worked lessons and a complete project

The expanded edition develops the chapter ideas through these detailed lessons:

• What happens between a prompt and an answer?
• A complete transformation prompt and its review
• Search, retrieval, and generation do different jobs
• Evaluate a draft with a small test set
• Build an assistant workflow with a genuine stopping point

Apply the ideas together

1. Prepare an approved source pack
2. Review at the claim level
3. Decide when the draft is ready to use

A subject glossary provides a quick reference while you work.

Edition and reading notes

Original editorial content. The PDF uses a fixed page layout with printable worksheet lines; it is not a fillable form or reflowable EPUB. No independent specialist review is claimed. Read our editorial policy.