What If You Could Predict Decisions Before Making Them?

What if you could test a decision before actually making it?

Not with spreadsheets. Not with gut feeling. But by simulating how people, markets, and narratives might react.

That’s the idea I’ve been exploring.

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Most decisions today are still based on guesswork.

We run A/B tests. We analyze past data. We try to predict outcomes.

But real-world systems don’t behave like clean models.

People react. Narratives spread. Unexpected things happen.

And once a decision is made, it’s often too late to go back.

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So I started thinking:

What if we could simulate decisions before committing to them?

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I built a tool called MiroFish.

It lets you ask questions like:

• “What happens if we raise prices next quarter?” - “How might public opinion shift after a policy change?” - “What happens to a brand after a PR crisis?”

Behind the scenes, it runs multi-agent simulations to model how things might unfold — and returns structured predictions.

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The experience is simple.

You ask a question — just like you would in ChatGPT.

But instead of generating a single answer, the system simulates interactions between agents, narratives, and possible outcomes.

It’s less about finding the answer, and more about exploring what could happen.

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Some of the use cases I’m exploring:

• Pricing strategy decisions - Market sentiment forecasting - Narrative and public opinion shifts - Policy impact simulation

Basically, any situation where outcomes depend on complex interactions.

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This is still an early project.

But I believe the idea of “simulating decisions” will become increasingly important as systems get more complex.

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If you’re curious, you can try it here: https://www.mirofish.work/

Would love to hear what you think — or how you’d use something like this.