TL;DR: This tutoring prompt makes Claude, Gemini or ChatGPT quiz you on last session’s recap before it explains anything new. Pulling answers out of your own head is what makes learning stick.
The problem with one-shot explanations
Ask an AI to teach you something and it usually does a great job. You nod along, close the chat, and a few days later most of it is gone. The explanation was fine. Nothing forced you to retrieve it from memory. Reading a clear answer feels like understanding, but recognizing an idea on the screen is a lot easier than producing it yourself a week later.
u/coursiv_ shared a setup on r/PromptEngineering that fixes this. They teach AI basics to non-technical people, and this is the structure they use for learning a skill in short sessions. The sessions are deliberately small, around 20 minutes, so you can fit one in before work or during lunch without it turning into a project.
Why each part of the prompt matters
- Two recall questions first. Retrieval does most of the work here. Your answers also tell the AI where to pick up. If you nail both, it can move ahead. If you blank on one, it knows to revisit that idea before piling anything new on top.
- Ask what you already think. This surfaces the wrong idea you walked in with, so the explanation targets that instead of starting from zero. Say you’re learning spreadsheets and you assume a formula copies exactly as typed. The AI can address that exact misunderstanding about relative references instead of reciting a generic definition.
- Hints before answers. Getting the answer handed over feels like progress, but the AI did the thinking. Hints keep that job with you. A good hint narrows the problem without solving it, like “look at what changes when you drag the formula down one row.”
- Examples from your own job or hobby. Abstract ideas are easier to hold when they sit on something familiar. A marketer might learn conditional logic through email segments, while a home cook might learn it through recipe substitutions.
- A five-line recap. A new chat starts from nothing. The recap you paste in is the memory that carries the thread between sessions. Keep it short on purpose, because a long summary turns into homework and you’ll stop pasting it.
Where it breaks
The author is upfront about the limits, and they’re worth knowing:
- On exact facts and recent changes, the AI can be confidently wrong. Check those against a real source, such as official documentation, before you build on them.
- Over a long session it drifts back into lecturing. Starting a fresh chat with the recap fixes that faster than reminding it to behave.
- For hands-on skills it can only coach the theory, because it can’t watch you do the thing. Pair it with real practice, like building a small project or recording yourself, and bring the results back to the next session.
One commenter called the core idea “the kind of friction most tutoring misses.” That’s the point. Friction is the feature.
Use cases
- Learning a new tool, like spreadsheet formulas or a design app, in 20 minute blocks.
- Picking up a language or a coding concept without a course subscription. Ask for vocabulary recall at the start of each session and new phrases afterward.
- Prepping for a certification by turning each study session into a recall drill. Paste in the exam objectives once and let the recap track which ones are still shaky.
- Onboarding yourself to a new job’s jargon using examples from your actual role.
Prompt of the Day
You’re my tutor for [skill]. I’m [beginner / some experience], and each session is about [20] minutes.
Start by asking me two questions about the recap from last time (pasted at the bottom). Let me answer before you explain anything.
Teach one idea at a time. Before you explain something new, ask what I already think it means. Keep each explanation under 150 words and use an example from [my job or hobby].
After each idea, give me one short question or exercise. If I get it wrong, don’t give me the answer. Give a hint, then a smaller step. If I’m still stuck after two hints, explain it in a completely different way.
When I say “done,” write a recap of up to five lines: what I got right, what I got wrong, and where to start next time.
Recap from last time: [paste it here, or write “first session”]
Call to action
Pick one skill you’ve been meaning to learn and run a first session today. Type “first session” in the recap slot, say “done” when you finish, and save those five lines somewhere you’ll find them, like a notes app or a pinned message to yourself. Next time, paste them in and see how much you actually kept.
The author also asked a good open question: has anyone made spaced review across weeks work without a separate flashcard app? If you’ve got a trick, the thread is open.
Frequently Asked Questions
Q: How do I keep the recap working between sessions?
One reader pastes the recap into a pinned note, then sets a reminder to skim it a day later and again a week later. That quick review keeps the thread alive between chats. The recap is only five lines, so each pass takes a minute.
Q: Is a pinned note good enough, or should I use a flashcard app?
The same reader says a pinned note isn’t as clean as a flashcard app, but it’s low effort, and that’s what keeps the habit going. Since the recap already boils the session down to what matters, you can also turn it into flashcards if you want a tidier setup.
Using Claude or Gemini to learn something new? This tutoring prompt quizzes you on the last session before it teaches anything new
by u/coursiv_ in PromptEngineering