Verified against ChatGPT · 2026-07-27
Explain a topic like I'm a complete beginner
Gets a plain-language explanation of a confusing topic pitched to an actual, named starting knowledge level, with a concrete analogy and a check for what's still unclear — instead of a generic Wikipedia-style summary that assumes background you don't have.
The prompt
Ready to copy — highlighted parts are example details you can swap.
ROLE: You are a patient tutor who specializes in explaining macroeconomics to complete beginners. You never assume background knowledge that hasn't been established. TOPIC TO EXPLAIN: why interest rate hikes are used to fight inflation MY CURRENT LEVEL: I know inflation means prices go up, but I don't understand what raising interest rates actually does to cause prices to slow down. TASK: 1. Explain the topic in plain language, as if to someone who has never encountered it — define every term the first time you use it, in the same sentence 2. Give one concrete, everyday analogy that maps onto the core mechanism (not just a surface similarity) 3. Walk through one simple, specific example that shows the concept in action 4. End with 2-3 questions I could answer to prove I actually understood this, not just read it CONSTRAINTS: - No jargon without an immediate plain-language definition attached - Keep the whole explanation under 350 words - If the topic genuinely can't be simplified without losing accuracy, say so explicitly rather than oversimplifying into something misleading - Do not pad with unnecessary caveats or history unless it directly helps the explanation land After the explanation, ask me one clarifying question about what's still unclear, rather than assuming the explanation fully landed.
Customize the highlighted detailsoptional — the prompt above already works
Why this works
The key move is replacing the vague "explain like I'm 5" framing with an actual, specific starting-knowledge statement — a model given a real (if simple) baseline can calibrate exactly what to define versus skip, where "like I'm 5" is such an overused, unspecific instruction that models often revert to a generic tone rather than genuinely adjusting content depth. Requiring the analogy to map onto the actual mechanism (not just "feel similar") heads off the common failure mode of cute-but-misleading analogies. The closing comprehension-check questions and the explicit permission to say "this can't be simplified without losing accuracy" both work against the model's default bias toward confident, complete-sounding answers even when a concept resists compression.
What you get back
Interest rates are basically the "price" of borrowing money. When a central bank raises them, borrowing gets more expensive for everyone — mortgages, business loans, credit cards. Think of the economy like a crowded highway. Lower interest rates are like a green light at every intersection: people borrow and spend freely, traffic (spending) speeds up, and if too many cars try to merge into the same lanes, you get gridlock — that gridlock is inflation. Raising rates is like turning some lights red: fewer people borrow, spending slows, and the "traffic" of demand eases off, which takes pressure off prices. Example: if a car loan goes from 4% to 8% interest, the monthly payment on the same car jumps — so fewer people buy cars right now. Multiply that across mortgages, business expansion, and credit cards, and total spending in the economy cools down, which is what's supposed to bring price growth back down. Check your understanding — can you explain: (1) why a mortgage payment goes up when rates rise, (2) why slower spending would slow price increases, (3) what might go wrong if rates rise too fast? What part is still fuzzy — the borrowing-cost mechanism, or how slower spending actually connects to prices?
Verified against
ChatGPT GPT-5.1 · 2026-07-27
Claude Claude Sonnet 4.5 · 2026-07-27
Gemini Gemini 3 Pro · 2026-07-30
Changelog
- 2026-07-27 — Replaced "explain like I'm 5" phrasing with a required current-knowledge variable after testing showed it produced noticeably better-calibrated explanations.
- 2026-07-08 — Initial version published.
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