You’ve been turning the decision over for days. Maybe weeks. You’ve thought about it in the shower, woken up with it at 3 a.m., mentioned it in passing to three different people and gotten three different answers.
Most people at this stage keep doing the same thing: thinking in circles. AI offers a way to break the loop — not by telling you what to do, but by changing the quality of the thinking you bring to it.
Here’s exactly how to do it.
Step 1: Write It Out Without Editing Yourself
Before you ask AI anything, you need to get the decision out of your head and into words — unfiltered.
Open a new conversation. Type exactly this as your opener:
I'm facing a major decision and I want to think it through carefully. Before we analyze anything, let me explain the situation. Then I want you to ask me clarifying questions before we dig in.
Then write. Include the options. Include what you’re leaning toward and why. Include what you’re afraid of. Include what you want but feel guilty for wanting. Include the things that feel undecidable.
Don’t clean it up. The messy version is more honest, and AI can handle it.
Step 2: Let AI Interview You First
Before any analysis, ask for questions.
Based on what I've told you, what questions would help you understand this decision more fully? Focus on things I may have assumed without stating, or left implicit.
This step is more valuable than most people expect. The questions AI generates often reveal the assumptions you haven’t examined. You’ll find yourself answering questions you didn’t know were relevant.
Pay attention to which questions make you uncomfortable. Those are usually the ones worth sitting with longest.
Step 3: Challenge Your Current Lean
By the time you’re having this conversation, you almost certainly have a direction you’re gravitating toward — even if you tell yourself you’re undecided. The lean is there.
Ask AI to challenge it directly:
I'm currently leaning toward [option]. Play devil's advocate — make the strongest possible case against this choice. Not obvious objections I've already considered. The most uncomfortable, substantive case.
Daniel Kahneman’s work on System 1 and System 2 thinking is relevant here. When we believe we’re doing careful analysis, we’re often just constructing a post-hoc justification for a position System 1 already locked in. Devil’s advocate prompting forces genuine System 2 engagement.
The goal is not to change your mind. It’s to make sure you’ve actually considered the opposing case rather than just told yourself you have.
Step 4: Surface What Has Happened to Others
You are not the first person to face this type of decision. Career pivots, geographic moves, major financial commitments, relationship turning points — these have been made thousands of times. The patterns are documented.
What do people who have made this type of decision — [describe the general decision type] — most commonly regret in retrospect? What do they say they underestimated? What surprised them that they didn't anticipate?
This isn’t asking AI to predict your outcome. It’s using pattern recognition to surface what the decision looks like from the other side. The retrospective view shifts your time horizon in a useful direction.
Step 5: Map the Reversibility
Most decisions feel more permanent than they are. Some feel deceptively reversible when they actually aren’t. Mapping the reversibility spectrum precisely gives you a cleaner view of the actual stakes.
If I make [decision] and it turns out to be wrong in two years, walk me through the reversibility spectrum: what could I easily undo? What would be hard but possible to change? What would be genuinely foreclosed?
Jeff Bezos articulated the underlying principle clearly in his shareholder letters: irreversible decisions (what he called Type 1) deserve deep deliberation because the error cost is high. Reversible decisions (Type 2) can and should be made more quickly — excessive deliberation on a reversible choice is its own kind of mistake.
Understanding which type you’re dealing with changes how much certainty you should require before acting.
Step 6: Run the Long View
Project forward. Ask:
Imagine I'm 75 years old looking back. Help me think through which choice I'd be more likely to regret not having tried. What would I grieve if I never did it? From that vantage point, which risks are actually quite small?
Research by Thomas Gilovich and Victoria Medvec suggests our regret structure changes over time. In the short run, we tend to regret things we did. Over longer horizons, we regret what we didn’t do — the paths not taken. The long view often reweights the decision in meaningful ways.
This prompt doesn’t override practical constraints. It adds a temporal dimension that short-term thinking naturally excludes.
Step 7: Ask What You’re Still Avoiding
At the end of the session, ask the hardest question:
Based on everything I've shared in this conversation, what do you think I'm still avoiding looking at directly? What's the thing I keep circling without addressing?
AI will sometimes miss this. But it will often surface exactly the thing you’ve been skirting — the fear you haven’t named, the value you haven’t acknowledged, the practical constraint you’ve been hoping would resolve itself.
Step 8: Sleep Before You Conclude Anything
This is not optional.
The session’s value compounds overnight. When you return to your notes the next morning, you’ll read them differently. Some things that felt urgent will have settled. Some things that felt minor will have moved to the foreground.
If possible, come back for a second session 24–48 hours later. Start with:
Here's what I said in our last session about this decision. What has shifted in my thinking? What still feels unresolved?
Major decisions deserve more than one pass.
What to Do With What You Learn
The output of this process isn’t a recommendation — it’s a clearer picture of your own thinking. Use it to:
- Write a short summary of your values hierarchy as it applies to this decision
- Identify the one or two questions you genuinely can’t answer without new information, and go get that information
- Separate what you know from what you’re predicting — and be honest about the difference
Then decide. Not because the analysis is complete — it never is — but because you’ve brought the best thinking you can to it.
The decision still belongs to you. That’s as it should be.
Related:
- The Complete Guide to AI for Major Life Decisions
- 5 AI Prompts for Major Decisions
- Why AI Should Not Decide for You
- The AI Decision Framework for Major Life Choices
Tags: how to use AI for decisions, major life decisions, AI thinking partner, decision-making process, life design
Frequently Asked Questions
-
What's the first thing I should do when facing a major life decision?
Before analyzing anything, do an unfiltered brain dump to your AI of choice. Explain the situation the way you'd tell a trusted friend — including what you're afraid of and what you want but feel you shouldn't. The act of articulating it often clarifies more than the AI's response does. -
Should I ask AI to make the decision for me?
No. Framing the prompt as 'what should I do?' invites AI to play a role it shouldn't occupy. Instead, ask it to help you think: 'What am I not considering?' or 'What's the strongest case against my current lean?' -
How many AI sessions should I do for a major decision?
At least two — separated by at least one night's sleep. The second session often looks very different from the first, as your thinking has had time to settle. For decisions with a 6-month or longer timeline, ongoing sessions at each new information phase make sense. -
Can I use any AI for this?
Any capable LLM works. The quality of your prompts determines the quality of the output far more than which platform you use. Assigning specific roles — devil's advocate, reversibility analyzer — consistently produces more useful output than open-ended questions.