How to Ask Better Questions of AI

S: Have you noticed how some people say AI completely changed their life…

D: And other people are like,

“Yeah… I tried it. It’s fine.”

S: Yes. Same tool. Totally different reaction.

I know of people who are building businesses with it. And then others who say,

“It just gives generic answers.”

D:

Right. And that gap is interesting. Because it’s not like they downloaded a different version of AI.

S: Exactly. Nobody has “premium intelligence mode.”

D: So what’s actually happening?

S: I think we’ve crossed a moment. AI isn’t experimental anymore. The question isn’t, “Should I use it?” It’s, “Why does it work so well for some people… and not for others?”

D: Is it a technical skill? Like maybe you need to know special prompts. Or secret tricks.

S:  The difference is much simpler. It’s the question.

D: Oh, that's uncomfortable. Because when the answer isn’t great… We blame the AI.

S: But most of the time, we asked something vague. And then we’re surprised the answer is generic.

D: Exactly. AI doesn’t read your mind. It reads your words.

S: And right now, most of us are using it the way we used Google 15 years ago.

Short. Vague. Hope for the best.

D: But AI isn’t just a search engine. It’s closer to a thinking partner.

S: So today’s episode is about a skill almost nobody teaches:

How to ask better questions of AI.

Because in this new world… Your results don’t scale with the tool. They scale with your questions.

Welcome to Everyday AI for Everybody, the podcast to build everyday skills. Each episode, we take complex topics about AI and break them down into simple ideas, one question at a time! Ideas we can all use everyday.

S: “Here’s the big idea for today.”

AI multiplies your thinking — and rewards clarity.

D: I like reward and multiplication - tell me more.. 

S: Ok let's talk about a self-driving car - incredibly capable - But it still needs a destination.

If you just say, “Drive.” It will. Somewhere.

D: But you might not like where you end up.

S: Exactly. If your question is vague, the answer will be wide.

If your question has direction, it gets precise.

That’s what I mean by “rewards clarity.”

D: So how do we give it a better destination?

S: Four simple things. The 4 Cs.

First — Context.

Who are you? What’s your situation?

“Help me invest” becomes

“I’m 30, new to investing, I am risk-averse.”

D: Now the car knows where it’s starting from. Downtown, going north

S: Second — Constraints.

Time. Budget. Limits.

Without these, AI makes assumptions. Don't worry, constraints don’t limit it — they steer it.

D: Right, like current traffic, pedestrians on the road

S: Third — Criteria.

What does “good” mean to you?

If you don’t define success, the car guesses.

D: Drive smooth, try to get there in 20 mins

S: Fourth — Compare. 

Ask for options. Ask for tradeoffs. 

D: Instead of one route, ask if there are options to avoid highways 

S: That's right.  Okay — let’s make this real with another example

Let’s say you have to research American history for homework. And instead of just asking a question, you are using an AI agent to help gather sources and organize notes.

What happens if you just say:

“Research American history for my homework.”

D: That’s like getting into a self-driving car and saying:

“Drive somewhere important.”

It will go.

But it might pull articles that are too advanced.

Or too simple.

Or opinion pieces instead of credible sources.

Because the destination wasn’t clear.

S: So how would the 4 Cs change that?

D: Let me try.

First Context:

“I’m a 5th grade student writing a 5-page research paper.”

Now the car knows who’s driving.

Constraints:

“Must use at least 3 credible sources, it should focus on post independence to today”

Now it knows the guardrails.

Criteria:

“I need balanced perspectives and clear explanations I can understand.”

Now it knows what “good” means.

Compare:

“Give me two possible angles I could focus on, that way I can conclude with reflections for the future.”

Now instead of one route, you get options.

S: So the agent doesn’t just collect information for your research. It organizes it around your direction.

D: Exactly. AI multiplies my thinking. If you give it a blurry goal, it multiplies blur.

If you give it structure, it multiplies structure.

S: And when AI starts acting like an agent — taking steps, gathering information, making suggestions —

Clarity becomes even more important. Because now it’s not just answering. It’s driving.

S: Ok, now let’s go to the game segment. 

I am going to call it make it better  

Round 1: Gaming

D: Beating a level in a game

S: Alright. Let’s keep it vague.  “How do I complete this level?”

D: Classic. So AI multiplies your thinking — and we gave it… nothing.

Let’s make it better. Let me start with Context and Constraint

“How do I complete Level 12 in this puzzle game where I keep running out of moves before clearing the board?”

S: Great, we know what level, what’s going wrong. That alone changes the answer completely.

But we’re not done. What else

D: Criteria and comparison 

I want a strategy that doesn’t require spending money or power-ups. I want two approaches, one that just focuses on completing the level and another that also maximizes collecting bonus point  

S: Wow! That is a level up. Now AI can give step by step strategy while respecting your rules. 

And that's not a better AI. That’s better thinking on your part

D: Ok, let me give you a scenario 

Round 2: Finding a microphone for a podcast and give this to an agent 

“Find the best microphone for my podcast. Ask me before you purchase”

S: Oh boy. The agent is about to go wild. But thanks for asking to confirm before the purchase

Let's see - Best… for who? Best… how? Best… price?

“Find the best microphone for my podcast. I record at home in a small untreated room, and my budget is under $200.”

D: Nice, now the agent knows - Environment and Budget. Already better.

S:  Prioritize audio clarity for voice and minimal background noise. Compare USB vs XLR options and recommend one with a short justification.”

D: Ok, I lost you there, but I am sure the agent will find that useful. 

S: Here’s the pattern:

Every time we added clarity, the AI didn’t get smarter. The outcome got sharper.

D: That’s the big idea. AI multiplies your thinking — and rewards clarity.

D: Cool framework. 4Cs, think about making it better. I am excited 

S: Great, We’re moving into a world where you can spin up an assistant, a researcher, a strategist, a tutor — instantly.

But the quality of what you get back…

is proportional to the quality of what you put in.

D: And that’s new. Your vague google search stayed in the browser, Now vague thinking gets automated.

S: Exactly. AI multiplies your thinking.

If you can’t define:

• What you actually want
  
  

• What constraints matter
  
  

• What “good” looks like

AI will struggle with you, just like you would in other real world situations - like delegation or leadership.

D: So this episode isn’t “How to talk to robots.” but how to think clearly and communicate it too 

S: That's right. So next time you use AI 

Ask: “What’s Missing?” Did I give context? Did I define what good looks like?

If not — add one sentence. That;s already better 

Ask for comparison. It upgrades almost any prompt instantly.

And don’t Chase Perfect Clarity. This isn’t about becoming precise. It’s about reducing ambiguity.  Also, clarity isn’t something you need before you use AI. 

Sometimes, clarity is also something you build as you drive. 

If you refine the destination, it adjusts. But you’re still choosing where to go.

S: Thank you for listening to Everyday AI For Everybody.

If you’ve ever felt like AI gives you not so great answers Or you’ve wondered why some people get incredible results Or you just want to use AI smarter in your everyday life —

This episode is for you. If this helped you level up how you ask questions, share it with a friend who’d find it useful. See you next time.