PART I
Foundations
Ch 01
Introduction to Artificial Intelligence
What AI actually is, how it works, and what that means for how you use it
Ch 02
Large Language Models Explained
Architecture, training, capabilities, and failure modes of modern AI models
Ch 03
The AI Landscape Today
The current ecosystem — major players, what they offer, and how to navigate it
PART II
The AI Toolkit
Ch 04
AI Tools Compared
An honest assessment of major AI tools across six performance dimensions
Ch 05
Choosing Your AI Stack
How to evaluate, select, and maintain a stack built for your specific tasks
Ch 06
AI Agents & Automation
What agents are, what they can do, and deploying them with human oversight
PART III
Mastering Prompts
Ch 07
Prompt Engineering Fundamentals
The five-element structure, context architecture, and habits for consistent outputs
Ch 08
Advanced Prompting Techniques
Chain-of-thought, few-shot, meta-prompting, and the techniques that separate good from great
Ch 09
Industry Prompt Playbook
Tested frameworks across law, medicine, marketing, finance, education, and more
PART IV
Practical Applications
Ch 10
AI for Business & Entrepreneurship
Strategy, operations, and the AI applications that produce measurable business impact
Ch 11
AI in Education & Learning
Personalised learning, curriculum design, and the educator's AI toolkit
Ch 12
Content Creation with AI
The AI-first content workflow, voice preservation, and quality standards
Ch 13
Personal Productivity & Life Optimisation
Decision support, time recovery, and the habits that compound over time
PART V
Safe & Smart AI
Ch 14
Responsible AI Usage
Five principles, accountability commitments, bias framework, and disclosure standard
Ch 15
Cybersecurity & Data Privacy
Data Risk Matrix, AI-powered threats, NEVER categories, and personal security posture
Ch 16
Deepfakes, Scams & AI Red Flags
Detection guides, the AI Scam Playbook, and the Verification Framework
PART VI
Your AI Future
Ch 17
Emerging AI Technologies
The Technology Horizon Map, Agentic Future, Future-Ready Skills Map, and the AGI question
Ch 18
Your AI Skill Snapshot
30-question self-assessment, four readiness profiles, and the 90-day action plan
Ch 19
AI Integration Best Practices
Four workflow patterns, the Impact Measurement Framework, and the Compounding Practice Flywheel
Ch 20
30 Maxims to Live By
The capstone — all 30 maxims with full treatment, Application Matrix, and Practitioner's Creed

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