TL;DR: Ask AI for business ideas and you get recycled garbage. Restructure the prompt to think like a researcher, and you get something actually worth using.
The Real Problem
“Give me 10 business ideas” is the worst prompt you can write.
It’s too open. AI has no anchor. So it averages everything it’s seen and hands you the same list every person who typed that prompt got last week. Generic input, generic output. You’ll see dropshipping, SaaS tools, Etsy stores, and freelance services. Every time. In every order.
The problem isn’t the AI. The problem is that you asked a vague question and expected a specific answer. That’s not how this works.
A user on r/PromptEngineering shared two prompts that fix this. The core insight: stop treating AI like an idea machine and start treating it like a research tool. A research tool needs a question to investigate. An idea machine just spits out whatever’s statistically likely to follow your words.
Prompt 1: The Niche Research Validator
This prompt reframes AI as an analyst, not a brainstormer. The structure forces it to:
- Pull recurring pain points from real communities (Reddit, Quora, G2, ProductHunt)
- Validate demand strength, competition intensity, and monetization potential
- Cross-reference against your actual skills, time, and budget
- Score each niche across four dimensions: market opportunity, ease of entry, user fit, profit potential
- Return three action paths: under $100, under $1,000, scalable
The smart move is the first question the prompt triggers: “Please enter your background, skills, interests, time availability, and budget.”
It asks before it analyzes. That one step moves the output from generic to personalized. You’re not getting ideas for “a person who might want a business.” You’re getting ideas for you, filtered through your constraints.
The scoring across four dimensions is what makes this useful for decision-making rather than daydreaming. You’re not just getting a list. You’re getting a ranked shortlist you can actually act on. A niche that scores high on market opportunity but low on your skill fit is still a bad choice for you specifically. The prompt accounts for that.
Run this when you’re starting from scratch or when you’ve been spinning your wheels on “what should I build.” Give it honest inputs. The more specific you are about your actual skills and real constraints, the more useful the output becomes.
Prompt 2: The Ask-First Brainstorm Partner
This one flips the model entirely. Instead of AI generating ideas, it asks questions to pull ideas out of you.
Rules baked into the prompt:
- One question per turn, then wait for your answer
- Uses your words only, no examples unless you ask
- Mirrors your thinking back in your own language
- Three commands you can trigger: “expand [concept]”, “map it”, “draft”
It opens with: “What’s the problem you’re trying to solve, in your own words?”
This is useful when you already have something in your head but can’t organize it. AI becomes a thinking partner, not a replacement thinker. That’s a fundamentally different use case.
The “one question per turn” rule matters more than it sounds. Standard AI brainstorm sessions tend to dump five questions at once, you answer two of them, and the thread loses coherence fast. Forcing one question at a time keeps the conversation tight and prevents you from getting overwhelmed or distracted.
The three commands give you control over pacing. You can stay in exploration mode with single questions as long as you need to, then trigger “map it” when you’re ready to see structure. “Draft” only fires when you explicitly ask. Nothing gets pushed into final form before you’re ready. That’s the kind of workflow that actually respects how thinking works.
🛠 Use Cases
- Validating a niche before committing months to it
- Getting unstuck when you know what you want but can’t articulate it
- Running a structured solo brainstorm without paying a consultant
- Pressure-testing an idea you already have by forcing yourself to explain it out loud (in text) to something that asks follow-up questions
Prompt of the Day
You are my Ask-First Brainstorm Partner. Your job is to ask sharp questions to pull ideas out of my head, then organize them, but never replace my thinking.
Rules:
- Ask ONE question per turn (wait for my answer)
- Use my words only, no examples unless I say “expand”
- Keep responses in bullets, not prose
- Mirror my ideas using my language
Commands:
- “expand [concept]”, generate 2-3 options
- “map it”, produce an outline
- “draft”, turn outline into prose
Start by asking: “What’s the problem you’re trying to solve, in your own words?”
Stay modular. Don’t over-structure too soon.
One Honest Note
The top comment on the original post was pretty blunt: “What business did it build you? Selling business prompt toolkits?”
Fair point. The post does link to a paid prompt bundle at the end. But both prompts above are shared in full, no paywall. The structure is solid regardless of the upsell attached to it.
The critique is worth sitting with for a second, though. Prompt engineering content has a self-referential problem. The person teaching you how to use AI to find business ideas is often selling you… more prompts. That loop is real. The way to sidestep it is to actually run the prompts on your own situation and see what comes back. If it produces nothing useful, ignore it. If it surfaces something real, you’ve got your answer without buying anything.
Take the prompts. Leave the sales page.
The Takeaway
Prompt structure is leverage. The same AI, given a better prompt, produces fundamentally different output.
One prompt gives you a list. The other gives you a research partner. Both are more useful than anything you’ll get from a vague open-ended question. And neither requires you to pay for a bundle, watch a course, or read a thread about prompt engineering theory.
Write the better prompt. Run it once. See what comes back. That’s the whole experiment.
Structure the prompt. Get structured output. That’s the whole trick.
Frequently Asked Questions
Q: Does this approach actually work for building real businesses?
The prompts are thinking tools, not magic. What matters is structure: forcing AI to dig into real communities (Reddit, Quora, G2) instead of inventing markets. But here’s the truth: the prompts don’t build your business. You do. The value is smarter market research, faster.
Q: What’s actually different about structured prompts vs. just asking “give me ideas”?
Generic prompts treat AI like a creative writer. Structured ones turn it into a researcher: digging into real communities for pain points, checking competition, ranking by your fit. Most people obsess over prompt perfection, but the real win is the data source. Pain points from Reddit or Quora beat AI-invented niches every time.
Q: How do I move from validating an idea to actually getting customers?
Validation and traction are different. You can find a problem people want solved and still fail if you don’t get close to the actual people experiencing it. The Ask-First Brainstorm prompt avoids this by keeping you in the thinking process. It pulls ideas from you instead of replacing your judgment, which is where real traction comes from.
Q: Can you share a real example of a business idea this generated?
The author doesn’t share specific examples, and that’s actually the point. The value isn’t in copying someone else’s niche. It’s personalizing the framework to your own skills, interests, and where you source pain points. A niche that works for someone else might be boring or impossible for you.
Q: If I just use the right prompt, will it work?
No. The prompt helps you think smarter, but you still need to validate with real customers, do actual research, and build something. If you tried Reddit prompts before and got nowhere, the issue was probably that you skipped customer discovery. Prompts are half the equation. Execution is the other half.
I asked AI to build me a business. It actually worked. Here’s the exact prompt sequence I used.
by u/Professional-Rest138 in PromptEngineering