≡ Table of Contents

AI Maxims: Full Contents

20 chapters across 6 Parts — with subtitles, page references, and all back matter.

20Chapters

6Parts

30Maxims

60Diagrams

20Worksheets

Front Matter

Forewordvii

Prefaceix

Acknowledgmentsxiii

Introductionxv

Part I Foundations p. 1

Introduction to Artificial Intelligence

What AI is, how it evolved, and why the current moment is different from every previous wave.

Large Language Models Explained

How ChatGPT, Claude, Gemini, and their peers work — in terms practitioners can act on.

The AI Landscape Today

A map of the current ecosystem: tools, providers, categories, and the pace of change.

Part II The AI Toolkit p. 57

AI Tools Compared

A structured comparison of the leading AI platforms across eight performance dimensions.

Choosing Your AI Stack

How to select, combine, and configure the right tools for your professional context.

AI Agents & Automation

What agents actually do, where they reliably deliver, and where they currently fail.

Part III Mastering Prompts p. 113

Prompt Engineering Fundamentals

The core framework: structure, context, constraints, and format — applied to real professional work.

115

Advanced Prompting Techniques

Chain-of-thought, few-shot learning, role prompting, and meta-prompting — with tested examples.

133

Industry Prompt Playbook

Ready-to-adapt prompt frameworks across 12 professional domains, drawn from the Appendix A library.

151

Part IV Practical Applications p. 169

AI for Business & Entrepreneurship

Automation, scaling, client work, and growth strategies with AI as a business tool.

171

AI in Education & Learning

Study techniques, curriculum design, research tools, and AI in the classroom.

189

Content Creation with AI

Writing, editing, design, video, and multimedia production — with accountability at the centre.

207

Personal Productivity & Life Optimisation

Time management, decision support, goal achievement, and building AI into daily work rhythms.

225

Part V Safe & Smart AI p. 243

Responsible AI Usage

Ethics, accountability, bias, and what a genuine responsible AI standard looks like in practice.

245

Cybersecurity & Data Privacy

Protecting client and personal data, understanding AI tool data policies, and managing exposure.

263

Deepfakes, Scams & AI Red Flags

How to recognise AI-generated disinformation, fraud vectors, and manipulation techniques.

281

Part VI Your AI Future p. 299

Emerging AI Technologies

What is coming next — multimodal AI, AI agents, reasoning models, and the horizon beyond.

301

Your AI Skill Snapshot

The structured self-assessment across six domains. Take it now, then again at Day 90.

319

AI Integration Best Practices

How to implement AI successfully across a professional workflow — for individuals and teams.

337

30 Maxims to Live By

The capstone chapter. All 30 Maxims, with commentary, context, and the Practitioner's Creed.

355

Back Matter

Conclusion373

Appendix A — 50-Prompt Library377

Appendix B — Tool Comparison Tables393

Appendix C — Data Risk Matrix399

Appendix D — Workflow Template Pack405

Appendix E — Verification Framework Card411

Appendix F — 90-Day Practice Planner413

Glossary419

References427

Index435

Reader Support Page445

About the Author447

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