The AI Productivity engineering

What's inside

Ten chapters moving from fundamentals to workflow:

1. Why AI Changes How We Work — the shift from commanding machines to collaborating with them

2. How Language Models Think — a jargon-free primer on why context and specificity matter

3. The Anatomy of a Great Prompt — the six parts of a reliable prompt, with before/after examples

4. Prompt Frameworks That Work — RTF, CREATE, chain-of-thought, few-shot, step-back

5. Patterns for Everyday Work — writing, research, coding, analysis, meetings

6. Building Your AI Workflow — the define→decompose→prompt→review→refine→reuse loop

7. Advanced Techniques — prompt chaining, self-critique, agents, memory

8. Common Mistakes & Fixes — a quick-reference table of pitfalls and how to avoid them

9. The Productivity Stack — tools, habits, and protecting human judgment

10. The Future of Human-AI Work — what changes and what stays the same

It's designed as a practical reference — callout boxes, copy-ready prompt templates, and framework tables you can use immediately. The best next step is to pick one recurring task this week, build a prompt for it, and save it to start your own prompt library.