MiroFish use cases for decisions that need rehearsal
Choose the scenario closest to your next decision. Each page turns a different question into the same operating loop: source material, actor graph, simulated reactions, and a report you can challenge.
Market Simulation AI
Use this when the risk is not one message, but how buyers, competitors, channels, and analysts respond to each other after the move.
Open market simulationResearch and strategy
Narrative systems
Start with the page that matches the real pressure.
The goal is not to browse features. It is to pick a clean scenario boundary, then run the simulation with enough evidence to see what could change.
Market Simulation AI
Use Market Simulation AI to rehearse launches, pricing, and market entry before buyers, competitors, and channels start shaping the story.
Public Opinion Simulation AI
Use Public Opinion Simulation AI to test how communities, commentators, media surfaces, and affected groups may interpret a public move.
Product Launch Simulation AI
Use Product Launch Simulation AI to preview buyer confusion, reviewer framing, sales objections, and competitor countermoves before launch day.
Pricing Simulation AI
Use Pricing Simulation AI to rehearse price increases, discount changes, packaging shifts, churn risk, and the objections sales teams will hear first.
Market Entry Simulation AI
Use Market Entry Simulation AI to test a new segment, category, or geography before incumbents, partners, and skeptical buyers set the frame.
Crisis Simulation AI
Use Crisis Simulation AI to practice response timing, evidence gaps, stakeholder trust, and escalation risk before a real incident compresses the timeline.
Competitive Intelligence AI
Use Competitive Intelligence AI to preview competitor responses, buyer comparisons, analyst framing, and sales pressure before a positioning move.
Customer Research Simulation AI
Use Customer Research Simulation AI to turn interviews, support notes, reviews, and product ideas into segment reactions and sharper validation questions.
Policy Impact Simulation AI
Use Policy Impact Simulation AI to rehearse stakeholder reaction, fairness concerns, compliance friction, and rollout gaps before a rule change lands.
Narrative Forecasting AI
Use Narrative Forecasting AI to see how a claim, campaign, fictional event, or public message may be repeated, compressed, resisted, or reframed.
World Cup Prediction
Create a 2026 match forecast from team evidence, tactical pressure, and the storylines that can shift confidence.
One engine, different decision surfaces.
Market teams, policy operators, researchers, and storytellers ask different questions. MiroFish keeps the method consistent so the report stays inspectable.
Bring the source
Use a brief, report, pricing note, research file, match context, or policy draft as the scenario seed.
Expose the actors
MiroFish turns people, groups, incentives, constraints, and claims into a graph you can inspect.
Question the forecast
Read the report for pressure points, weak assumptions, and the evidence most likely to change the result.
Pick by the kind of uncertainty you are facing.
The right use case gives the simulation a sharper job. That means fewer vague outputs and a clearer next question after the report.
Commercial uncertainty
Use market, launch, pricing, and market-entry pages when adoption depends on buyer belief and competitor response.
Stakeholder uncertainty
Use opinion, crisis, and policy pages when the outcome depends on institutions, media, or affected groups.
Interpretation uncertainty
Use narrative and sports pages when framing, missing evidence, and momentum can change the forecast.