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Simulation Guide

Simulated World: Build a Scenario You Can Rehearse

Learn what a simulated world means in MiroFish, how source material becomes actor context, and how teams use AI scenario simulation before decisions go live.

Jul 30, 2026/4 min read/MiroFish Editorial
Quick Answer

Simulated world: quick answer

A simulated world in MiroFish is a bounded scenario environment built from source material, actors, incentives, claims, constraints, and a pressure event. It is not a generic virtual world or a game map.

The point is to rehearse how people may react to each other before a decision reaches the real world. The simulated world gives the forecast report enough structure to explain why a reaction path appears.

01

What makes a simulated world useful

A useful simulated world is specific enough to inspect. It has named audience groups, a visible trigger, a time horizon, and source evidence that keeps the model from drifting into generic advice.

If the world is too broad, the simulation becomes vague. If the world is bounded, the report can show which actors moved the outcome, what narrative spread, and what assumption needs another run.

One source packet with real claims and constraints
A pressure event that forces reaction
Audience groups with different incentives
A decision window that makes the forecast reviewable
02

How MiroFish builds the world from source material

MiroFish starts from a report, memo, brief, draft, or market note. The source packet defines the context: who is involved, what they care about, what claims are visible, and which constraints shape the next move.

That context becomes a scenario graph. Agent interaction rounds then test how different groups may interpret, amplify, resist, or reframe the pressure event before the final forecast report is reviewed.

Extract actors, claims, incentives, and constraints
Represent relationships in a scenario graph
Run interaction rounds across the simulated world
Use the report to inspect assumptions and risk paths
03

What to inspect before trusting the world

Do not trust a simulated world just because the final report reads smoothly. Review whether the actors are correct, whether the incentives match the source material, and whether the pressure event is narrow enough to test.

The strongest signal is not certainty. It is a forecast that names the fragile assumptions, the evidence gaps, and the follow-up question that would improve the next simulation.

04

Where simulated worlds help decisions

Simulated worlds are useful when the outcome depends on reaction. Launches, pricing moves, policy shifts, market narratives, public statements, and competitor framing can all change once people observe each other.

Use MiroFish when you need a rehearsal map before acting: who reacts first, what gets amplified, where trust risk appears, and what evidence should be prepared before the real event happens.

Launch narrative rehearsal
Pricing and packaging reaction review
Policy or public opinion scenario planning
Market narrative and competitor response simulation
FAQ

Questions about simulated worlds in MiroFish

What is a simulated world in MiroFish?

A simulated world in MiroFish is a bounded scenario environment built from source material, actors, incentives, claims, constraints, and a pressure event.

Is a simulated world the same as a virtual world?

Not in this context. MiroFish uses simulated world to describe a decision rehearsal environment for AI scenario simulation, not a game world or metaverse space.

What source material works best?

Focused reports, memos, launch briefs, policy drafts, market notes, or public statements work best because they contain actors, claims, incentives, and constraints.

How should I use the forecast from a simulated world?

Use the forecast as a rehearsal map. Review who reacts, what narrative spreads, where assumptions are thin, and what evidence would improve the next run.

Related Guides
Run a scenario

Use MiroFish with your own source material.

Start from one report, memo, or decision brief, then inspect the scenario graph, reaction rounds, and forecast report.