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Sample lesson
3 modules · try now
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How AI works
Pattern matching, not thinking
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The CLEAR framework
5 rules for every AI interaction
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Hallucination Hunt
Catch AI making things up
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The Driller
AI as your personal examiner
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The Bot Roast
AI knows a lot. Understands nothing.
This sample covers How AI works, the CLEAR framework, and Spot AI bias. Start module 1 to begin.
How AI actually works — AI doesn't think. It predicts the most statistically likely next word based on billions of examples. That's why it can be brilliant at explaining concepts and completely wrong about specific facts. Understanding this is the foundation of every other AI skill.
The CLEAR framework — five questions to apply to every AI interaction, for life. Check the source. Look for bias. Evaluate the output. Add your own thinking. Respect privacy. Works for ChatGPT, Claude, Gemini — and every tool that comes after them.
The Hallucination Hunt — AI makes things up confidently. Students learn which outputs to trust and which to verify, through a game where they catch AI inventing facts. The most memorable lesson in the module. Try it as a standalone course →
The Driller — AI as your personal examiner. Paste revision notes, tell AI to quiz you until you get everything right. Infinite patience, never distracted, never running out of time. The most practical study tool most students have never used.
The Bot Roast — Ask AI to roast itself. What is it bad at? Why is it both extraordinary and untrustworthy? The answers teach the most important concept: AI knows a lot of things, but understands none of them. That distinction — held clearly — makes a student a better user of AI than most adults.