AI · Library course
How to Tell When AI Is Lying to You
AI will hand you a wrong answer with total confidence. Learn the verification habits that catch the fabrications before they reach your work.
- Intermediate
- 6 lessons
- 17 min to complete
7-day preview, no card needed. The course is in the library the day your academy goes live.
AI
What it covers
What your people will learn.
- AI
The most dangerous AI answer is the one that sounds right. A confident tone is not evidence, and the model has no idea when it is wrong.
Most people trust AI output by feel: fluent prose and a steady voice read as accuracy. That is exactly how fabricated citations, invented figures, and plausible-but-false claims slip into real work. The model does not flag its own uncertainty, so the burden of doubt falls on you.
This course builds that doubt into a repeatable practice. You learn the three categories AI distorts most, why surface specificity often masks a guess, and concrete checks like asking the same question twice in different framings to expose answers that shift under pressure. The goal is calibrated skepticism: knowing what to verify, what to discard, and what you can actually rely on.
Who it's for
Founders and operators: ship AI-assisted research, copy, and analysis without quietly inheriting its errors.
Writers and researchers: catch invented sources and false specifics before they land in a published piece.
Anyone using AI daily: build a fast verify-or-discard reflex instead of trusting the output by tone.
The lessons
6 lessons, in order.
About 17 min to complete. Add the course and every lesson is yours to publish as it is, or to edit.
- The Confidence Problem3 min
- The Three Things AI Lies About Most3 min
- Verify Or Don't Use3 min
- Ask The Same Thing Twice, Differently3 min
- The Specificity Trap3 min
- What Calibrated Skepticism Looks Like2 min
In your academy
A starting point, not a rental.
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- 1
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- 3
Practice
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On the same shelf
Other AI courses your academy opens with. The library holds 150+ across eight tracks.
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