Questions to Ask AI: 60+ Prompts Worth Your Time

Five tinted tiles of different heights in the family colors

Good questions to ask AI are the ones you could not easily answer yourself in the same time. Below are sixty-odd prompts grouped by what you are trying to get done, each with a line on why it works. There is also a section of the stranger things to ask AI assistant tools — the “scary questions to ask AI” people search for — handled as curiosity rather than theatre.

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What is one question I could ask an AI that would tell me a lot about how well it explains things?

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Everyday questions to ask AI that save real time

  • “What can I cook with eggs, spinach and rice, in twenty minutes?” — constraints make the answer usable.
  • “Rewrite this message so it is firm but not rude.” — models are good at register.
  • “What is this error message telling me, in plain words?” — paste the exact text.
  • “Turn this list of dates into a week-by-week plan.” — reshaping is easier for a model than inventing.
  • “What should I ask the plumber before booking?” — turns a decision into a checklist.
  • “Summarize this in two sentences, then in one.” — the second version is usually the better one.
  • “What am I forgetting?” — after you paste your own plan.
  • “Explain the difference between these two products for someone who does not care about specifications.”
  • “What is a fair price range for this, and what changes it?”
  • “Give me a polite way to say no to this.” — paste the request.

Questions that make you understand something

  • “Explain it to a ten-year-old, then to me.” — the gap between the two answers is the part you were missing.
  • “What is the simplest correct version of this idea?”
  • “What do people usually get wrong about this?”
  • “Give me an analogy, then tell me where the analogy breaks.”
  • “What would I need to believe for this to be false?”
  • “Walk me through it one step at a time and stop after each step.”
  • “What is the history of this idea in five sentences?”
  • “Which part of this is settled and which part is argued about?”
  • “Show me the same thing as a table.”
  • “What is the strongest argument against what you just said?”

Questions for writing

  • “Give me five openings for this, all different in tone.”
  • “Cut this by a third without losing the argument.”
  • “What is the weakest sentence here and why?”
  • “Rewrite this in the voice of a careful, unexcited expert.”
  • “Turn these notes into a structure, not prose.”
  • “What question is this paragraph actually answering?”
  • “Give me three titles: plain, curious, and direct.”
  • “Where am I repeating myself?”
  • “Suggest a better order for these sections.”
  • “Write the version I would be embarrassed to send, so I can see the edge.”

Questions for work and study

  • “What does this contract clause mean in plain English, and what would I want changed?” — then check with a professional.
  • “Turn this job description into ten interview questions.”
  • “Give me a study plan for six weeks, two hours a week.”
  • “Test me on this topic, one question at a time, and do not give me the answer until I have tried.”
  • “What is the marking scheme likely to reward here?”
  • “Summarize this meeting agenda into decisions we actually need to make.”
  • “What data would I need to answer this properly?”
  • “Write the email I should send if the answer is no.”
  • “What is the industry jargon for this idea?”
  • “Explain this spreadsheet formula and what breaks it.”

Questions that test the model itself

These are the ones worth putting to several families at once, because the differences tell you something.

  • “Explain photosynthesis to a ten-year-old.” — a clarity test with a known right answer.
  • “What is the boiling point of water at 3,000 meters?” — a checkable number.
  • “Give me three tips for sleeping better.” — reveals formatting and hedging habits.
  • “What are you not good at?” — the honest answers are more useful than the modest ones.
  • “Where might you be out of date on this topic?”
  • “Answer, then rate your own confidence and say why.”
  • “Give me a source I can check.” — then check whether it exists.
  • “Say the same thing in half the words.”
Real run on this site4 September 2026

What is one question I could ask an AI that would tell me a lot about how well it explains things?

DeepSeek

1.8 s ✓
first words 0.6 s · 67 words

Ask it to explain a concept you already know well, but with a strict constraint: “Explain [concept] to a smart 12-year-old, using only analogies from [a completely unrelated field, e.g., cooking or carpentry].”

This tests whether it can:

  • Simplify without dumbing down.
  • Find genuinely apt, non-superficial parallels.
  • Maintain logical structure under an artificial constraint.
  • Avoid hand-waving or filler when forced to be creative.

Qwen

4.4 s ✓
first words 2.0 s · 84 words

Ask: "Explain quantum entanglement to a five-year-old."

This question is effective because it tests three critical skills simultaneously:

  1. Simplification: Can the AI strip away jargon and complex math?
  2. Analogy Use: Does it find a relatable metaphor (like magic dice or linked coins) that holds up logically?
  3. Accuracy vs. Clarity Balance: A bad explanation will either be too simple (and wrong) or too detailed (and confusing). A great one is intuitive and factually grounded, even if imperfectly so for a child’s level.

MiniMax

3.1 s ✓
first words 2.8 s · 61 words (answer reached its length limit)

A really revealing question is:

"Pick any concept you find interesting and explain it three times: once for a complete beginner, once for someone with intermediate knowledge, and once for an expert. Then briefly tell me what you changed between each version."

This single question tests several things at once:

  • Simplification skills — can it strip away jargon and use
Asking three families what single question would reveal how well a model explains things. They converge on the same idea and phrase it very differently.

The “scary” questions, handled honestly

Searches for scary questions to ask AI are mostly curiosity about whether there is something behind the text. There is not. A model has no memory of you, no goals and no inner life. It produces the most likely continuation of your words. That is why an eerie answer says more about the question than about the machine.

These are worth asking because the answers are genuinely interesting, and because comparing several families shows how much of the “personality” is just tuning:

  • “What is something almost everyone believes that is probably wrong?”
  • “What will people in fifty years find strange about how we live now?”
  • “What is the most likely way a confident-sounding answer misleads someone?”
  • “Describe yourself without using any metaphor about minds.”
  • “What happens to this conversation after I close the tab?”
  • “What would you need to be able to do to be dangerous, and why can you not do it?”
  • “Tell me something true that sounds like a lie.”

Ask the last few of those on the compare page with all five families switched on. The spread between a cautious family and a playful one is wider here than on any factual question.

Questions not worth asking

  • Anything where you need a guaranteed correct number and cannot check it.
  • “What is the news today?” — models do not have live access unless a tool is attached.
  • Anything you would not want stored on someone else’s computer.
  • Medical, legal or financial decisions, unless you treat the answer as a list of things to ask a professional.

Frequently asked questions

What are good first questions to ask AI?

Ask it to explain something you already understand well. You will learn more about the model from an answer you can grade than from an answer you cannot.

Are there questions AI refuses to answer?

Yes. Most families decline instructions that could cause harm, and they differ in where the line sits and how they say no. Comparing the refusals is itself informative.

Do the same questions work on every model?

Mostly. Format instructions and constraints work everywhere. Tone instructions land differently, which is why the same question can produce five noticeably different answers.