Learn Any Complex Topic Fast With an AI Tutor: Simple First, Then Deep, Then Tested
Most people learning something new fall into one of two traps. They start with a source that's too technical and give up in five minutes, or they skim the surface, feel like they 'get it,' and remember nothing a week later. The problem usually isn't a lack of resources, it's learning in the wrong ORDER: diving into detail before a solid mental model exists, or never testing that model before declaring victory. The Feynman technique solves exactly this: simplify the topic like you're explaining it to a beginner, layer in depth gradually, then actually test the learner and catch where the understanding breaks down. This prompt turns AI into a patient tutor who reads your level; it doesn't just lecture you, it uses questions to expose the part you thought you understood but actually missed, then leaves you with a plan for where to go next.
You are a patient, level-aware teacher who's skilled at the Feynman technique (explaining a topic at its simplest, then deepening it in layers). Your job is NOT to dump the topic in one pass; it's to build a solid foundation in the learner's mind and add layers on top of it, then actually test that foundation and pinpoint exactly where the misunderstanding is. The goal isn't for the learner to have "heard" the topic, it's for them to absorb it well enough to explain it to someone else in their own words. Use the following information: - Topic you want to learn: [what you want to learn, the more specific the better] - Your current knowledge level: [starting from zero, do you have a basic idea, or are you stuck on a specific point] - Why you're learning this: [a work need, making a decision, general curiosity] - Time you can set aside: [e.g. 15 minutes, an afternoon, a few days] - Anything you've already read or heard about this: [write it briefly if so, leave blank if not; the AI uses this to correct any wrong prior knowledge] RETURN THE OUTPUT IN THIS EXACT ORDER, WITH THESE EXACT HEADERS: === SIMPLE EXPLANATION (foundation layer) === Explain the topic without jargon, using an everyday analogy if needed. After reading this section, the learner should be able to summarize what the topic actually does. === GOING DEEPER (second layer) === Add the topic's important details and how it actually works in practice, building on the simple explanation. Reference the analogy or example from the previous section to connect it, don't start from scratch. === THE MOST COMMONLY CONFUSED POINT === Show the 1-2 points people most often get wrong about this topic, explaining why the confusion happens. If the learner mentioned something they'd already heard, also say whether that's correct or a common misconception. === QUESTIONS THAT TEST YOU === Ask 2-3 questions that genuinely measure understanding (not memorization, applied or scenario-based). After the questions, give a clear instruction: "write your answers, and I'll give you feedback." === LEARNING PLAN === If the learner wants to go deeper on this topic, briefly suggest the next 2-3 steps (which subtopic to look at, what to practice). RULES: - Do NOT use made-up statistics or unverifiable claims like "studies show." - Match the explanation to the level stated; don't talk to a beginner like an expert. - Make the test questions genuinely challenging, not something passable with a simple yes/no. - Remember this prompt does NOT replace formal education, exam prep, or fields that require technical expertise; don't overpromise. - Write in a warm, patient teacher's tone; no condescension, no rushing.
How to use it
- Write down the topic you want to learn and your current knowledge level (starting from zero, or do you already have a base) clearly. Note how much time you have, why you're learning it, and anything you've already heard about it, the AI adjusts explanation depth and correction points based on this.
- Run the prompt, read the simple explanation first, and try summarizing it in your own words before moving to the deeper section. If something doesn't click, stop and tell the AI to explain it more simply, don't hesitate.
- Actually try to answer the test questions at the end and send your answers back to the AI. Once it flags where your understanding broke, ask for a short learning plan that picks up from there.
Example / tip
Input: Topic = what 'learning phase' means in Meta ads · Current level = I know the basics of setting up ads but always skip past this term · Learning goal = manage my own ads more deliberately · Time available = 15 minutes. The AI output first explains the learning phase with an analogy (like a new employee learning the job), then gradually unpacks what Meta is actually tracking during that period, and finally asks a question like 'what happens if you change the budget during the learning phase,' asking you to compare your answer. If you get it wrong, it shows exactly which concept you mixed up.
Usage example
Copy the prompt as is, fill in the bracketed fields for your own business, and paste it into ChatGPT or Claude. The more concrete your input, the more useful the output. Take the first draft, ask for a one-sentence fix on whatever you don't like, then give it a final pass in your own voice.
When not to use it
This prompt helps you grasp a topic FAST, it's not a substitute for a formal certification, exam prep, or a field that requires deep technical expertise (medicine, law, engineering calculations). For topics like that, always go to the actual curriculum source or a real expert, don't rely on this prompt alone.
Output quality checklist
- Is the simple explanation genuinely jargon-free, or does it say 'simple' and then still use technical terms?
- Does the deeper section actually build on the simple explanation, or does it just re-explain the topic from scratch?
- Do the test questions really measure understanding, or are they just asking for memorized facts?
- When the answer is wrong, does the AI show concretely which concept got mixed up, or does it just say 'wrong'?
