Stop Asking AI for the Answer. Ask It to Help You Think

Put your hand up if you mainly use AI to ask it questions.

That's most of us. We use it like Google. Type a question, get an answer, move on. And it's fine, as far as it goes. But asking AI questions is probably the least interesting thing you can do with it.

The answer is only as good as the question

Here's a question a lot of people have typed in some form: "I've got £20,000 to spend on marketing. What should I do?"

You'll get a perfectly reasonable answer. A mix of channels, some percentages, a sensible-sounding plan. And it will be almost useless, because AI has no idea what you sell, who to, what's worked before, how much risk you can take or what "good" looks like for you. So it guesses, using averages, and it sounds confident doing it.

The fix isn't a cleverer prompt. It's better thinking.

Four things AI can do with your thinking

Once you stop asking for the answer, AI can do four genuinely useful things with your thinking:

• Widen it. "What else?" Options, questions and approaches you hadn't considered.
• Deepen it. "Go further." What's underneath the problem, what evidence you'd need, what the knock-on effects are.
• Challenge it. "What if I'm wrong?" The strongest case against your plan, before the market makes it for you.
• Turn it into action. "Now help me do something." The plan, the spreadsheet, the email, the next three steps.

Most people do the last one and skip the other three. That's how you end up with a beautifully written email you shouldn't have sent.

The 6D AI Thinking Method™

Put those four moves inside two habits and you get a method you can remember in six words:

• Define. Give AI your context first. Or, the shortcut: ask it to interview you. "Don't give me recommendations yet. Interview me. Ask one question at a time and challenge vague answers."
• Discover. What else?
• Dig. Go further.
• Doubt. What if I'm wrong?
• Do. Now help me do something.
• Double-check. After every move, one question: is this a fact, or something we just think we know?

That last one matters more than it looks. AI can sound completely certain and still be wrong. Fluent isn't the same as correct. A simple way to make it visible is to finish any big conversation by asking AI to sort everything into five columns: facts, assumptions, unknowns, risks and next actions. Most decisions turn out to have very few facts in them. Seeing that is the point.

What it looks like on a real decision

In the course we follow Sam, a property investor, through a deal: a £220,000 purchase, a £40,000 refurb and a £320,000 end value. That end value has a question mark on it, because it's what the agent said, not what anything has sold for.

Sam defines the situation and lets AI interview him. Discover puts "doing nothing" on the table as a real option. Dig asks what evidence would make £320,000 credible. Doubt builds the strongest case for why the deal fails. Do turns it into five things to check this week. Double-check produces a decision board with two facts on it and seven assumptions and unknowns.

Sam checks the biggest assumption first. Similar refurbished properties have actually sold for £295,000 to £305,000. Sam renegotiates before going any further. One check changed the deal.

Sam is fictional and the figures are illustrative, but the pattern isn't. AI didn't make the decision. It improved the decision process.

Try it today

Pick one real decision you're facing this month. Open your AI of choice and start with:

"I'm working on [your decision]. Don't give me recommendations yet. Interview me first, one question at a time."

Then work through the moves: What else? Go further. What if I'm wrong? Now help me do something. And after every answer, ask whether it's a fact or a guess.

The full course, The 6D AI Thinking Method™, walks through each step with prompts you can copy, a workbook for your own decision, a checklist to keep next to your AI, and the complete property case study.