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Scenario rehearsal

Scenario Simulation AI

Upload a brief, memo, incident, launch, policy, or market question and simulate how the scenario may unfold across actors, constraints, reactions, and evidence gaps.

Built for scenario planning, not certainty. Every output should be reviewed against real evidence before an operating decision.

Scenario tape / illustrative

Scenario simulation for a decision under pressure

3 rounds
R1
Decision ownerInitial path selected
R2
Affected actorsReaction splits
R3
External pressureSecond-order risk appears

Dominant risk

Scenario drift

Amplifier

Actor reaction

Evidence gap

Missing constraint

Input

Brief, event, memo, plan, or question

Engine

Actor graph + multi-round scenario paths

Output

Trajectory, risks, and review questions

What to bring

Bring the scenario you need to rehearse.

Scenario simulation works best when the source material explains what is changing, who may react, what constraints matter, and which decision your team needs to review.

Scenario brief

The event, decision, plan, launch, incident, policy, market move, or narrative setup you want to simulate.

Actor context

Customers, competitors, institutions, employees, audiences, partners, affected groups, or fictional actors with different incentives.

Known evidence and constraints

Research notes, documents, timelines, claims, operating limits, public context, unresolved questions, and decision boundaries.

Where it earns its keep

Turn an uncertain situation into a reviewable path.

Scenario simulation is useful when the next move depends on reaction, timing, interpretation, or constraints that are hard to see in a static plan.

Decision rehearsal01

Test a decision before the real reaction starts.

Simulate how a plan may move once customers, competitors, institutions, or public audiences respond.

Risk discovery02

Find the weak assumption hidden inside the scenario.

Inspect which actor, constraint, claim, or timing issue could change the path faster than expected.

Response planning03

Convert uncertainty into follow-up questions.

Use the report to decide what evidence to gather, which response to prepare, and what signal should trigger review.

Scenario simulation needs actors, constraints, and time.

MiroFish turns source material into a visible scenario graph, runs multi-round reactions, and returns a report the team can question before acting.

  1. Stage 1

    Ground the scenario

    Upload source material and define the decision, event, or message you want to test.

  2. Stage 2

    Build the actor graph

    Map the people, groups, incentives, constraints, and memory that shape the reaction.

  3. Stage 3

    Run reaction rounds

    Let the simulated actors respond over multiple rounds so the second-order path appears.

  4. Stage 4

    Question the report

    Review the trajectory, risks, weak assumptions, and what evidence would change the conclusion.

What the report should answer

The report should explain how the scenario moves.

  • Which actor or force changes the scenario first
  • Which assumption makes the path fragile
  • Which second-order reaction deserves attention
  • Which evidence gap would change the readout
  • Which next question should be simulated or researched

Boundary conditions

A rehearsal tool, not a guarantee.

  • Not guaranteed prediction of future events
  • Not useful without source material or a clear scenario boundary
  • Not a replacement for legal, financial, policy, or expert review
  • Not live monitoring unless current evidence is uploaded

Why MiroFish

Scenario simulation AI should produce a path, not just advice.

Generic AI can summarize possible outcomes. MiroFish structures the scenario as actors, pressure, reaction rounds, evidence gaps, and reviewable assumptions.

Input

Generic AI

Prompt and broad context

MiroFish

Scenario brief, actors, constraints, and evidence

Process

Generic AI

One-shot answer

MiroFish

Graph construction plus multi-round reaction paths

Review

Generic AI

Advice to accept or reject

MiroFish

Inspectable report with assumptions and follow-up questions

FAQ

Scenario simulation AI, for decisions with moving parts.

Use it when a situation may unfold differently depending on actor reaction, timing, constraints, or interpretation.

What is scenario simulation AI?+

Scenario simulation AI uses source material, actor modeling, and multi-round reaction paths to explore how a decision, event, launch, incident, policy, or narrative may unfold.

How is this different from AI scenario planning?+

Scenario simulation focuses on rehearsing one defined situation and inspecting how it moves. AI scenario planning is broader and often compares strategic futures, options, and contingency paths.

What should I upload?+

Upload a scenario brief, memo, report, launch plan, policy draft, incident timeline, market notes, customer evidence, or any source that defines the actors and uncertainty.

Can MiroFish predict exactly what will happen?+

No. MiroFish is built for scenario rehearsal and review. It helps surface plausible paths, weak assumptions, and evidence gaps before the real decision point.

Which teams should use scenario simulation AI?+

Founders, strategy teams, product marketers, researchers, policy teams, communications teams, and operators can use it before decisions where reaction and timing matter.

Simulate before acting

Turn the scenario into a path your team can inspect.

Bring the brief, memo, or source material already on your desk. MiroFish will turn it into a scenario simulation with actors, risks, and review questions.

Start a scenario simulation