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04Tool guideFoundational

ChatGPT for entrepreneurs: how to think and work with an AI assistant

Use ChatGPT as a thinking partner for brainstorming, testing hypotheses, preparing interviews, drafting business documents, and analyzing information, without mistaking its answers for evidence.

By , Founder of Vora IQ

Published

The short answer

ChatGPT is a general AI assistant from OpenAI. Entrepreneurs get the most from it as a thinking partner: generating options, attacking assumptions, drafting interview questions and documents, and making sense of information you give it. Treat what it says as a draft to check, not a finding.

Level
Foundational
Reading time
7 minutes
Updated
Sources
3 cited
Useful for
All business types
01

Understand

The direct answer, in plain language, and why it matters.

What ChatGPT is good for

ChatGPT is a general AI assistant made by OpenAI. You write a request in plain language, it responds, and you refine the result through back-and-forth in the same conversation.

The most valuable thing it does for an entrepreneur isn't answering questions. It's helping you think: producing options you hadn't considered, poking holes in your reasoning, and turning rough notes into a usable first draft.

A note on features: ChatGPT's features change often, and we couldn't verify OpenAI's current documentation when we wrote this. So this guide sticks to ways of working that apply to any general AI assistant. Check OpenAI's help center for what your version can do, such as whether it can search the web or read files.

A note on ownership: The Founder Almanac is owned by Vora IQ, which makes a business-building product that works alongside general assistants like ChatGPT.

A thinking partner, not an oracle

AI assistants generate text by predicting what's likely to come next, based on patterns in their training data. NIST explains that this is why they sometimes state false things with confidence, which it calls confabulation and most people call hallucination. It's a natural result of how these models are designed.[1]

That tells you how to use one. When you're generating options, critiquing, restructuring, or drafting, a plausible answer is useful even if it's imperfect, because you're the judge. When you need facts, figures, or legal and financial specifics, a plausible answer can be worse than none. NIST notes the risk is particularly relevant for long-form answers and for questions that need specialized expertise.[1]

The other risk is you. NIST lists automation bias and over-reliance among the risks of working with generative AI.[1] The habit that counters it is simple: decide what you think before you ask, then compare.

02

Apply

The framework, a worked example, and the steps to take.

Five ways to work with it

Brainstorm wide, then narrow

Ask for many options, including unusual ones, then ask the assistant to group and rank them against criteria you set. Give it constraints. "What business should I start?" produces generic answers. Your skills, budget, hours, and target customer produce useful ones.

ChatGPTGenerate problems worth solving

My background: [skills, experience, and constraints, such as hours per week and budget]. I want to start a business that serves [customer group].

List 20 problems this group might pay to solve. Include five that most people would overlook.

Group them by theme. For each theme, name the assumption I'd need to test first.

Don't tell me which one is best. I'll decide after talking to customers.

Evaluate hypotheses by asking it to argue against you

The Lean Startup approach tests each part of a business idea through experiments.[2] Before you spend money on a test, ask the assistant to attack the hypothesis. It's fast at finding the assumptions you didn't notice you were making.

ChatGPTAttack your own hypothesis

Here's my business hypothesis: [for example, Dog owners in my neighborhood will pay $30 a week for a midday walk].

Argue against it as strongly as you can. List the assumptions it depends on, ranked from riskiest to safest.

For the riskiest one, suggest the cheapest test I could run in two weeks, and the result that would prove me wrong.

Prepare interview questions

Talking to customers is how you test those assumptions. The SBA lists in-depth interviews among the ways to do direct research, which answers questions specific to your customers, such as where they might go instead of your business.[3] Write your own questions first, then use the assistant as an editor. Ask it to remove leading questions and turn "Would you buy...?" into "Tell me about the last time you...". Our guide to customer discovery interviews covers the full method.

Create business documents

One-pagers, proposals, outreach emails, policies, FAQs. Give the assistant the audience, the purpose, your facts, the length, and a sample of your writing. Ask for two versions with different approaches, then combine the best parts yourself.

You own every claim in the result. Never let an assistant fill in testimonials, numbers, credentials, or client names. If it adds a fact you didn't provide, delete it or verify it.

Analyze information you provide

Paste in survey responses, a sales summary, or customer reviews, and ask for patterns. Tell it to use only the data you've given it, and to show every calculation. Then recompute the numbers that matter in a spreadsheet. Arithmetic and counting across long pasted data are easy places for errors to hide.

Any AI assistantAnalyze your own data, with checks

Below is [describe the data, such as 12 months of order history]. Use only this data. Don't add outside information or assumptions.

  1. Summarize the three most important patterns.
  2. Show the calculation behind every number you report.
  3. Flag anything in the data that looks inconsistent or duplicated.
  4. Suggest one hypothesis I could test based on what you see.

[paste data]

Worked example

Hypothetical scenario

A yarn shop tests a subscription idea

Jonah sells hand-dyed yarn online. Over the past year he's had 412 orders from 230 customers, and he's wondering whether to launch a $38 monthly subscription box.

He uses the brainstorming prompt to list ways a subscription could fail, and the hypothesis prompt to rank them. The riskiest assumption: that repeat customers want a surprise colorway rather than choosing their own.

He pastes his order summary and asks how many customers ordered three or more times. Suppose the answer comes back as 61. He checks with a spreadsheet filter and gets 58, because some customers had ordered under two email addresses. The difference is small, but it's the kind of error that slips into a plan when no one checks.

His test: email all 58 repeat customers with a pre-order offer for a first box. He sets the pass mark before sending: at least 12 pre-orders.

Strengths and limitations

Where an assistant like ChatGPT helps most: speed, breadth, and patience. It can generate 20 options in seconds, critique a plan without getting defensive, and redraft a document as many times as you ask. It's a good fit for structuring messy thinking, preparing for conversations, and producing first drafts.

Where it falls short: it can be confidently wrong, including about sources and numbers.[1] Its information may be out of date, depending on whether it's searching the web. It doesn't know your customers, your market, or your numbers unless you tell it. And it can't tell you whether anyone will pay. Only a real commitment, such as a payment, deposit, or signed agreement, can.

03

Advance

Your next action, the right tool, and where to go next.

Your next step

Take your current idea and run the hypothesis prompt above. Write down the riskiest assumption it finds, and whether you agree. If you do, design a two-week test with a pass mark you set in advance.

Then:

If you want to use an AI assistant to build software, not just plans and documents, this free guide covers it from the first prompt to a deployed app:

Key takeaways

  • Use an AI assistant to help you think, not to supply facts.
  • Give it constraints: your skills, budget, hours, and customer.
  • Ask it to argue against your ideas, not to approve them.
  • Never let it add facts, numbers, or testimonials you didn't provide.
  • Recheck any number you'll act on.

Questions founders also ask

Frequently asked questions

Can ChatGPT tell you whether your business idea is good?

No. ChatGPT can pressure-test a business idea by arguing against it, ranking the assumptions it depends on, and suggesting a cheap test for the riskiest one. It can't tell you whether customers will pay. Only a real commitment, such as a payment, deposit, or signed agreement, can. Ask it to find problems rather than approve the idea, because a question like "Isn't this a great idea?" invites agreement.

Can you trust facts and statistics from ChatGPT?

Not without checking them. AI assistants like ChatGPT generate text by predicting what's likely to come next, so they sometimes state false things with confidence, which NIST calls confabulation. Their information may also be out of date, depending on whether they're searching the web. Use ChatGPT for options, critiques, and drafts, and verify any fact, figure, or legal or financial detail against its original source.

How do you get useful business answers from ChatGPT instead of generic ones?

Give ChatGPT constraints. A question like "What business should I start?" gets generic answers, while your skills, budget, hours per week, and target customer get ones that fit you. For business documents, add the audience, purpose, your facts, the length, and a sample of your writing. Then ask for alternatives, and ask what's wrong with the answer it just gave.

Should you paste customer data into ChatGPT?

Only after you've checked your ChatGPT account settings and OpenAI's data policies. When you do analyze data such as survey responses or order history, tell ChatGPT to use only what you've provided and to show every calculation. Then recheck the numbers that matter in a spreadsheet, because arithmetic and counting across long pasted data are easy places for errors to hide.

Should you use ChatGPT or Claude for your business?

Either can handle the core ways of working with an AI assistant, such as brainstorming, attacking hypotheses, preparing interviews, and drafting, because those apply to any general assistant. The Founder Almanac hasn't run its own hands-on evaluation of ChatGPT yet, so there's no measured winner. Its guide to Claude for entrepreneurs covers longer, document-heavy work. Whichever you pick, check facts and numbers before you act on them.

Sources

Every externally sourced claim links back here. We explain ideas in our own words and link to the original work. See the full source index.

  1. [1]
    Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST AI 600-1)

    U.S. National Institute of Standards and Technology · 2024

    Official guidance · Accessed November 3, 2026

  2. [2]
    The Lean Startup methodology

    Eric Ries · The Lean Startup

    Practitioner education · Accessed November 3, 2026

  3. [3]
    Plan your business: market research, competitive analysis, and startup costs

    U.S. Small Business Administration

    Official guidance · Accessed November 3, 2026

About the author

Founder of Vora IQ

Khalel Dumaz is the founder of Vora IQ, which publishes The Founder Almanac, and the author of The Vibe Code Bible, a free guide to building software with AI.

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