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* [[What We Mean by AI Fluency|What We Mean by AI Fluency]] — What AI fluency actually is, why it matters for generalists, and how the five pillars fit together
* [[What We Mean by AI Fluency|What We Mean by AI Fluency]] — What AI fluency actually is, why it matters for generalists, and how the five pillars fit together
* [[How AI Actually Works|How AI Actually Works]] — What happens when you type something into ChatGPT, Claude, or Gemini
* [[How AI Actually Works|How AI Actually Works]] — What happens when you type something into ChatGPT, Claude, or Gemini
* [[Concepts/Tokenization And Context Windows|Tokenization & Context Windows]] — Why AI can only "remember" so much, and what you can do about it
* [[Tokenization & Context Windows|Tokenization & Context Windows]] — Why AI can only "remember" so much, and what you can do about it
* [[Why AI Gets Things Wrong|Why AI Gets Things Wrong]] — What hallucinations are, why they happen, and how to catch them
* [[Why AI Gets Things Wrong|Why AI Gets Things Wrong]] — What hallucinations are, why they happen, and how to catch them
* [[Prompt Engineering Basics|Prompt Engineering Basics]] — How to communicate with AI effectively using clear, structured instructions
* [[Prompt Engineering Basics|Prompt Engineering Basics]] — How to communicate with AI effectively using clear, structured instructions

Latest revision as of 16:27, 16 March 2026

Foundational ideas that underpin the entire playbook — how AI works, why it fails, and how to communicate with it effectively.

Before diving into exercises and pillars, it helps to understand a few foundational ideas. These concept pages give you the mental models you need to use AI well — no technical background required.

These pages are referenced throughout the playbook's exercises and pillars. You don't need to read them all before starting — but they're here when you want to understand the why behind the techniques.