MuseTask

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ResearchUpdated September 9, 2026

How to Use Muse to Make a Decision

Make a decision with Muse, Meta's personal AI agent: it researches the facts, scores your options, and argues the other side. Decision memo template inside.

Can Muse Do This?

Yes, with a clear division of labor. Muse, Meta's personal AI agent, can gather the facts your decision hinges on — salary benchmarks, costs, contract terms, timelines — using its own browser, then structure the choice: criteria, weights, a matrix, and the honest trade-offs. It remembers your priorities and constraints, so the analysis reflects your actual life, and it works asynchronously while you sleep on it. What it will not do is decide for you, and that is the right shape: use it to kill uncertainty, then make the call yourself.

  • A decision matrix is only as honest as its weights. Muse will happily justify whatever you subconsciously already want — ask it to argue the other side too.
  • Muse is a new agent and can err; Meta's own launch messaging says it will sometimes fail to finish things. Verify any fact the decision truly turns on.

How to Ask Muse

  1. 1

    Lay out every option, honestly

    Name all the real options, including 'change nothing.' Half-listed decisions produce confident nonsense.

  2. 2

    Say what you are optimizing for

    Not just 'best' — best for whom, over what time horizon, at what risk tolerance. Muse weights the criteria accordingly.

  3. 3

    Send it to fill the factual gaps

    Have Muse research what you don't know — market rates, fine print, timelines — before any scoring happens. Facts first, weights second.

  4. 4

    Request the counterargument

    After the matrix, ask Muse to make the strongest case against your preferred option. That is where an assistant earns its keep.

Copyable Muse Prompt

Replace the bracketed details with your own, then paste it into Muse.

Make a Decision prompt template
Goal: Help me decide between [OPTION A] and [OPTION B] — with [DO NOTHING / STATUS QUO] staying on the table — by [DATE].
Context: What I'm optimizing, in order: [PRIORITIES]. Time horizon: [MONTHS / YEARS]. Risk comfort: [LOW / MEDIUM / HIGH]. Situation in one line: [CONTEXT].
Requirements:
- Build the criteria list from my priorities and tell me if any criterion is missing.
- Fill every factual gap with researched data and a source. No vibes.
- Score each option per criterion, show the math, and state what would have to be true for the loser to win.
Actions:
- Research what I don't know with your browser: [THE FACTS YOU'D NEED].
- Then draft a one-page decision memo: recommendation, confidence level, top risk, and what I'd wish I had checked.
Approval:
- Research only — nothing gets signed, sent, or submitted. Ask before acting outside research.
Output: The matrix with its math, the memo, the strongest case against your own recommendation, and the open questions only I can answer.

Example

A marketing manager is choosing between a higher-paying corporate offer and a counteroffer from the startup they currently work at.

Example prompt
Goal: Help me decide between a corporate offer ($118k, hybrid, big team) and my current startup's counter ($105k, remote, head of channel) by Friday.
Context: Optimizing for growth first, then pay, then flexibility. Two-year horizon. Medium risk comfort. I have a mortgage and no kids.
Requirements:
- Build criteria from those priorities and tell me if any are missing.
- Research title benchmarks for both roles in my city and attach sources.
- Score both offers plus 'stay without the counter' and show the math.
Actions:
- Look up current salary data for both titles and levels; note where every number comes from.
- Draft a one-page decision memo with a confidence level and the top risk of each path.
Approval: Research only — nothing gets sent to either employer; ask before acting outside research.
Output: Matrix, memo, the strongest case against your recommendation, and the questions only I can answer.

What Information Should You Provide?

  • All the options, stated plainly

    Including the status quo. Decisions go wrong when one option silently never gets weighed.

  • Priorities in rank order

    Equal-weighted criteria are how people rationalize. A rank order is what makes the matrix mean something.

  • Time horizon

    The best two-year choice and the best ten-year choice are frequently different options.

  • Facts versus fears

    Separating what you know from what you suspect tells Muse exactly what to research.

  • Your risk tolerance

    It determines how heavily a downside should count, and Muse should apply yours, not a default.

Approval and Safety

For this task, it is smart to make Muse check with you before it takes certain actions. Decide your rules up front and include them in the prompt.

  • Communicating the decision to anyoneAccepting or declining is consequential and personal. Muse checks before sensitive actions like sending an email — this message stays yours.

  • Signing, depositing, or committing to anythingThe decision memo precedes commitments; it never replaces them.

  • Acting on researched facts without verificationIf the decision turns on a number, click the source yourself before you move.

  • Letting the analysis drift into new tangentsInvestigation can delay decisions forever. Tell Muse when the evidence is sufficient and ask for the memo.

Tips for Better Results

  • Put 'change nothing' on the list. It is the control group, and it exposes whether you are moving toward something or merely away from something.
  • Ask for the math, not just the scores. Seeing which criterion carries the result tells you whether the matrix reflects your priorities or smuggled in someone else's.
  • Have Muse research before you weight anything. Most bad decisions are information problems wearing a psychology costume.
  • The highest-value question: 'what would have to be true for the other option to win?' It surfaces assumptions you did not know you had made.
  • Use the asynchronous gap deliberately: kick off the research, sleep on it, read the memo in the morning. Muse keeps working after you close the app.

Make a Decision FAQ

Can Muse make decisions for me?

It should not, and it is built not to: Muse researches, structures, and pressure-tests, but the call stays yours. You get a decision memo with sources, a matrix that shows its math, and the strongest case against its own recommendation.

Can Muse help me compare job offers?

Yes. It can research salary benchmarks and title levels with its browser, score the offers against your ranked priorities, and flag what is missing from each package. Verify the numbers that matter at the cited sources — it is a brand-new agent.

Will Muse just tell me what I want to hear?

Any assistant can, which is why the counterargument should be requested explicitly. Ask for the 'strongest case against your recommendation' section and rank your criteria before you see the scores — the template above builds both in.

How much research can Muse do for a decision?

A lot: it browses, reads, and synthesizes asynchronously, so the facts can be gathered while you are at work. Just note that Reuters reported internal launch tests hit failure modes, so scope the research and check what comes back.

Is my decision kept private?

Muse runs in a secure virtual machine, Meta says it does not share your conversations or VM data with its ad systems, and you can tell it to forget specific things. Sensitive career decisions still deserve deliberate judgment about what you share with any cloud service.

Create Your Own Muse Prompt

Adapt this template to your exact situation with the free MuseTask prompt generator — set your goal, constraints and approval rules, then copy the result into Muse.

Open Prompt Generator →