A practical AI handbook for beginners covering models, Markdown, APIs, Claude Code, Codex, Skills, MCP, hooks, and real automation projects.
Chapters
Intro
Part 1 · Understanding AI
- 02. What Is a Large Language Model?
- 03. A Practical Overview of Mainstream AI Tools
- 04. Registering and Paying for Overseas AI Tools
- 05. Different Ways to Use the Same AI Model
- 06. Markdown: The Universal Language for Talking to AI
Part 2 · APIs and Tokens
- 07. API and Token Basics Explained
- 08. How to Call an API and Choose an API Platform
- 09. Build a Free HTML Page in Five Minutes with AI
- 10. API Practice: Connect Immersive Translate
- 11. What Does Prompt Caching Actually Mean?
- 12. Build Your Own API Proxy
Part 3 · Practical AI Tools
- 13. Claude Code: A Practical Introduction
- 14. Codex CLI: A Practical Introduction
- 15. Codex App: Between the Terminal and the IDE
- 16. Claude Design: Turn Ideas into Polished Pages
- 17. Claude Routine: A Hands-On Review
- 18. Let Codex and Claude Control Your Computer
Part 4 · Skills, MCP, Hooks, and Mindset
- 19. Skills: What They Are and How to Use Them
- 20. MCP: What It Is and How to Use It
- 21. Use Hooks to Lock Down Skill Workflows
- 22. Why Pushing an LLM Harder Can Actually Work