Inside the book
Thirty chapters for becoming a capable AI operator.
Move from strong mental models and reliable prompts into Codex, research, automation, business systems, KAI, safety, and future capability.
Think Like an AI Operator
- 01From AI User to AI Operator
- 02How Modern AI Actually Works
- 03Choose the Right Surface: Chat, Work, Codex, or a System Like KAI
- 04Context, Memory, Projects, and Durable Instructions
- 05The Operator's Loop
Prompting That Produces
- 06The BRIEF Prompt Framework
- 07The Anatomy of an Excellent Prompt
- 08Examples, Constraints, and Reference Material
- 09Iterative Prompting Without Endless Rewrites
- 10Conversational Prompting and Steering
- 11Evaluation: Make Quality Measurable
Tools, Workflows, and Creation
- 12Use ChatGPT Work for Finished Deliverables
- 13Use Codex as a Software Teammate
- 14Research That Can Be Trusted
- 15Writing and Editing with AI
- 16Data Analysis Without False Confidence
- 17Image Generation and Visual Direction
- 18Automation That Deserves to Run
- 19Building Websites with AI
- 20Coding for Non-Developers and Developers
Business Systems and Growth
- 21Business Strategy and Operations
- 22Marketing and SEO That Serve the Customer
- 23Sales and Customer Support Systems
- 24Designing an AI System: The KAI Pattern
- 25Building Offers and Businesses with AI
Trust, Scale, and the Future
- 26Learning Faster and Building Capability
- 27Career and Personal Productivity
- 28Privacy, Security, and Permissions
- 29Responsible AI and Human Accountability
- 30The Future-Proof AI Operating System
Built for action
Every chapter closes the loop.
Each chapter includes a mental model, three operating principles, a practical workflow, a case study, a checklist, key takeaways, exercises, prompt examples, and one action to try today.
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