Scenario brief
The decision, event, launch, incident, policy, market question, strategy, or narrative setup that defines what the scenario engine should inspect.
Scenario engine
Scenario Engine
Use MiroFish as an AI scenario engine, not an oracle. Turn source material into actors, constraints, reaction rounds, evidence gaps, and scenario paths your team can inspect.
Built for scenario planning, not certainty. Every output should be reviewed against real evidence before an operating decision.
Scenario tape / illustrative
Scenario engine for a decision with moving actors
R1
Source evidenceScenario boundary set
R2
Actor graphIncentives and constraints mapped
R3
Reaction roundsReviewable paths appear
Engine role
Scenario builder
Primary output
Inspectable paths
Limit
Not an oracle
Input
Brief, actors, evidence, constraints
Engine
Actor graph + reaction rounds
Output
Scenario paths and assumptions
What to bring
Bring evidence for the scenario engine to structure.
A scenario engine works best when the team has source material, a clear decision boundary, known actors, constraints, assumptions, and uncertainty that should be made reviewable before action.
Actors and incentives
Customers, competitors, institutions, teams, audiences, partners, regulators, affected groups, or other actors whose reactions shape the path.
Evidence and constraints
Research notes, timelines, claims, operating limits, source documents, public context, unresolved assumptions, and decision boundaries.
Where it earns its keep
Use a scenario engine when one answer would hide the uncertainty.
MiroFish is useful when a decision depends on reactions, incentives, timing, interpretation, and evidence gaps that should stay visible instead of being collapsed into a single oracle-style answer.
Decision rehearsal01
Turn a plan into paths the team can inspect.
Use the scenario engine to map who may react, what pressure changes first, and which assumptions deserve review before commitment.
Scenario planning02
Build a shared model of what may move.
Use MiroFish as a scenario planning engine to structure strategic uncertainty into actors, constraints, signals, and reaction rounds that can be questioned by the team.
Forecast review03
Check why a forecast path may happen.
Use scenario engine outputs to inspect evidence gaps, second-order effects, and the assumptions behind a forecast-style readout.
A scenario engine should expose assumptions, not hide them.
MiroFish works as a scenario modeling engine: it turns evidence into an actor graph, runs multi-round reactions, and returns a scenario report with visible assumptions so teams can challenge the path instead of treating it as a final answer.
Stage 1
Ground the scenario
Upload source material and define the decision, event, or message you want to test.
Stage 2
Build the actor graph
Map the people, groups, incentives, constraints, and memory that shape the reaction.
Stage 3
Run reaction rounds
Let the simulated actors respond over multiple rounds so the second-order path appears.
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 make uncertainty easier to review.
- Which actor or force changes the path first
- Which assumption makes the scenario fragile
- Which second-order reaction deserves attention
- Which evidence gap would change the readout
- Which follow-up scenario, research question, or expert review should happen next
Boundary conditions
Not an oracle.
- Not guaranteed prediction of future events
- Not a substitute for validated data, domain experts, legal review, financial analysis, or policy review
- Not live monitoring unless current sources are uploaded
- Not useful when the scenario boundary, actors, or evidence are too vague
Why MiroFish
A scenario engine should be inspectable.
Generic AI can give a confident answer. MiroFish structures the question as evidence, actors, constraints, reaction rounds, assumptions, and reviewable paths.
Role
Generic AI
Oracle-style answer
MiroFish
Scenario engine with visible assumptions
Process
Generic AI
One-shot prompt response
MiroFish
Actor graph, constraints, and multi-round reaction paths
Review
Generic AI
Hard to audit or challenge
MiroFish
Inspectable report with evidence gaps and follow-up questions
FAQ
Scenario engine, without oracle claims.
Use MiroFish when the value is a reviewable scenario system, not a false promise of certainty.
What is a scenario engine?+
A scenario engine is a scenario analysis tool that turns source material into a structured model of actors, constraints, assumptions, reaction rounds, and plausible paths so a team can inspect how a scenario may move.
How is MiroFish different from an oracle?+
An oracle implies a final answer. MiroFish is an AI scenario engine: it makes assumptions, evidence gaps, actor reactions, and possible paths visible so humans can review them.
How is this different from scenario simulation AI?+
Scenario engine describes the MiroFish method and product role. Scenario simulation AI is the use case of running a specific brief, incident, launch, policy, or market question through that engine.
What should I upload?+
Upload a brief, memo, plan, timeline, policy, launch draft, market question, research notes, actor context, constraints, or evidence that defines the scenario.
Who should use it?+
Strategy teams, founders, product leaders, policy teams, researchers, communications teams, and operators can use it when a decision needs reviewable paths instead of a single answer.
Related simulation paths
Follow the risk into the next decision.
Most decisions do not stay inside one category. These adjacent use cases help teams test the next market, customer, or public reaction path.
Scenario rehearsal
Scenario Simulation AI
Turn a brief, event, or decision into an inspectable simulated scenario path.
Open Scenario Simulation AIPredictive paths
Predictive Simulation
Use evidence, actors, constraints, and reaction rounds to inspect plausible future paths before a decision.
Open Predictive SimulationAgent rounds
Multi-Agent Simulation AI
Simulate how multiple actors respond, influence each other, and create second-order scenario paths.
Open Multi-Agent Simulation AINot an oracle
Use MiroFish as a scenario engine your team can question.
Bring the brief, actors, evidence, and constraints. MiroFish will turn them into a scenario engine report with reviewable paths and visible assumptions.
Build a scenario engine run