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Ask about any lesson.
Pick your course and ask in your own words. The AI tutor answers from its lessons and names the one it used.
Beatriz CarvalhoAI
AI tutor · Building Apps with AI
You came from a lesson in this course, so answers will start there and may refer to the checks you have already answered.
A sample exchange from this course
Beatriz CarvalhoAIHere is a check from the lesson “What these tools actually do”. You ask the agent to add a discount code feature. It writes the code and tells you the feature is working. Why is that statement weak evidence?
Is it this one? “The model was trained before your project existed, so it cannot reason about your code.”
Beatriz CarvalhoAIThat is the tempting one. Treats the training cutoff as the limitation, when the model can read your current files perfectly well: the problem is that reading is not running. The lesson “What these tools actually do” works through why it does not hold. Read the question again. Which option explains what happened without leaning on that?
Built from the check in What these tools actually do. Your own question gets its own answer.
Or start from one of the hardest checks in this course
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How this is different
Any model will answer a question about prompting or fine-tuning. What it will not do is answer it from the lessons you are being examined on. Every turn pulls the closest lessons first and hands them to the model as ground truth, so it explains what this school teaches instead of what it remembers. It tells you which lesson, so you can check it.
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You get a hint, then a step, and the full solution only if you ask twice. An AI tutor that gives the answer first teaches you to ask for answers.
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It can be wrong
It will not pretend to be certain, and a wrong method is hardest to spot in the subject you came here to learn. Check anything that decides a mark.