Prediction question
The market move, launch, policy change, competitor action, customer behavior, incident, or strategic decision you want the predictive simulation tool to explore.
Predictive scenario modeling
Predictive Simulation
Use predictive simulation software to explore plausible AI forecast paths from evidence, actors, constraints, incentives, and multi-round reactions before a market, policy, product, or strategic decision.
Built for scenario planning, not certainty. Every output should be reviewed against real evidence before an operating decision.
Scenario tape / illustrative
Predictive simulation for a decision with moving actors
R1
Source evidenceBaseline path forms
R2
Key actorsReactions split
R3
Second-order effectsPrediction drivers surface
Prediction driver
Actor incentive
Uncertainty source
Reaction path
Evidence gap
Missing signal
Input
Evidence, actors, constraints, question
Engine
Predictive actor graph + reaction rounds
Output
Plausible paths and assumptions to review
What to bring
Bring the decision before the future becomes one story.
Predictive simulation works best when the team has a concrete forecast question, source material, known actors, constraints, prior signals, and assumptions that should be tested before action.
Evidence and signals
Research notes, public sources, customer evidence, sales context, historical behavior, timelines, constraints, and unresolved assumptions.
Actors and incentives
Customers, competitors, institutions, partners, media, employees, affected groups, or other actors whose reactions shape the future path.
Where it earns its keep
Predict the path by simulating the system.
Predictive simulation is useful when the outcome depends on how different actors interpret the same evidence, react over time, and create second-order effects.
Market prediction01
Inspect how a market reaction may unfold.
Simulate how buyers, competitors, analysts, and channels may react as a launch, pricing move, or market event changes the story.
Strategic forecast02
Find which assumption changes the likely path.
Test how incentives, constraints, timing, and missing evidence can shift the predicted trajectory before the decision is locked.
Risk path03
Surface second-order effects before they compound.
Use reaction rounds to see how the first response can create later risks, opportunities, or review questions.
Predictive simulation needs a model of reaction, not certainty.
MiroFish turns evidence into a graph of actors, incentives, memory, and constraints, then runs multi-round predictive scenario simulation so teams can inspect why a future path may happen.
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 the prediction auditable.
- Which actor or signal drives the predicted path
- Which assumption makes the prediction fragile
- Which second-order reaction could change the outcome
- Which evidence gap would most improve confidence
- Which follow-up simulation or research question should come next
Boundary conditions
Not a certainty machine.
- Not guaranteed prediction of future events
- Not a substitute for validated data, domain experts, statistical models, legal review, or financial analysis
- Not live monitoring unless current sources are uploaded
- Not useful when the prediction question, actors, or evidence are too vague
Why MiroFish
Predictive simulation should expose assumptions.
Generic AI can answer a prediction prompt. MiroFish structures the prediction as evidence, actors, constraints, reaction rounds, and reviewable uncertainty.
Prediction basis
Generic AI
Single prompt and broad intuition
MiroFish
Evidence-grounded actor graph and constraints
Future path
Generic AI
One forecast-style answer
MiroFish
Multi-round predictive simulation with second-order effects
Review
Generic AI
Hard to audit or challenge
MiroFish
Visible assumptions, evidence gaps, and follow-up questions
FAQ
Predictive simulation, without false precision.
Use predictive simulation to inspect plausible futures and the assumptions behind them, not to treat uncertainty as solved.
What is predictive simulation?+
Predictive simulation uses evidence, actors, constraints, incentives, and reaction rounds to explore plausible future paths. MiroFish works as predictive simulation software by making assumptions and evidence gaps visible so teams can review the prediction.
How is predictive simulation different from an AI forecasting tool?+
An AI forecasting tool is the workflow for generating a forecast. Predictive simulation describes the method: building a scenario system, simulating actor reactions, and inspecting the paths that shape an AI forecast.
What can I use predictive simulation for?+
Use it for market prediction, product launches, pricing moves, policy response, competitor actions, public opinion, customer adoption, crisis response, and strategic decisions.
Can it predict the future exactly?+
No. MiroFish does not claim exact future prediction. It helps teams inspect plausible paths, uncertainty drivers, weak assumptions, and the evidence that would change the forecast.
What should I upload?+
Upload the prediction question plus source material such as market memos, research notes, customer evidence, public articles, historical context, stakeholder notes, timelines, and constraints.
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.
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Open Polymarket Market ResearchPrediction with assumptions
Turn uncertainty into a predictive simulation you can inspect.
Bring the forecast question, evidence, actors, and constraints. MiroFish will turn them into a predictive simulation with visible paths and review questions.
Start a predictive simulation