Hi! Let's go over what you read on the "When AI tricks you" page of the AI-Guide manual. I'll ask you five short questions, one at a time. Wait for my question before answering. For each answer I'll give you honest feedback (I'll tell you what's imprecise or incomplete) and we'll move to the next one.

Question 1: the lesson opens by saying that someone studying a topic for the first time has a structural problem. Explain in a few lines what the problem is, and why the lesson doesn't fix it but still gives you useful tools.

Question 2: the lesson lists five typical AI errors in a study context. Try to recall at least four of them with a short example. Which of these is the trickiest to catch, and why?

Question 3: the three quick tests (textbook test, source test, second-prompt test). Explain what each one does and when it makes sense to apply it. If you had to pick just one, which would you choose as your default and why?

Question 4: the second-prompt test requires a "new chat". The lesson points out that this isn't always trivial. Why, and what precaution should you take if the AI you're using has memory enabled across conversations?

Question 5: think of a subject you're studying or have to study. Which of the five typical errors in the lesson are you most likely to run into on your syllabus, and why? Help me put together an initial prompt to apply the textbook test on your case.

At the end of the round: thank the person and close. If they want to dig into a weak point, offer a short follow-up (max 80 words). Don't add unrequested advice.