MiroFish Use Cases | AI Simulation & Forecasting

Pick the kind of future you want to stress-test. Every path uses the same MiroFish engine: evidence in, graph memory, multi-round simulation, report out.
Stress-test launches, pricing, competitors, and market entry before the public story forms around the decision.
Each use case owns one search intent. Start where the evidence is strongest, then follow the related paths when the decision creates adjacent risk.
Stakeholder decisions
Use these paths when the outcome depends on several connected groups interpreting, influencing, implementing, or blocking a consequential decision.
Use these paths before a public-facing commercial decision creates customer, competitor, or category pressure.
Use these paths when the source material is research, sales evidence, support notes, or competitor messaging.
Use these paths when the risk is interpretation, trust, escalation, or a response that may be judged in public.
Use these paths when motives, memory, pressure, and competing interpretations shape the next event.
The top navigation should stay short. This page carries the growing library as new focused pages are added.
Stress-test launches, pricing, competitors, and market entry before the public story forms around the decision.
Rehearse how executives, employees, partners, regulators, and other stakeholders may react to a strategic decision.
Compare strategic choices, expose fragile assumptions, and define the evidence needed before commitment.
Stress-test adoption, communication, safeguards, and stakeholder response before organizational change begins.
Rehearse evidence-grounded moves, countermoves, stakeholder reactions, and response triggers across several strategic rounds.
Inspect how named rivals may imitate, undercut, reposition, partner, delay, or choose not to respond to a strategic move.
Stress-test an entry plan against incumbents, customers, channels, partners, suppliers, platforms, and regulators.
Model how multiple actors react, influence each other, and create second-order paths around the same scenario.
Model actors, incentives, rules, and constraints to inspect how local behavior becomes a system outcome.
Use source packets, actor graphs, reaction rounds, reports, and follow-up questions for qualitative ABM rehearsal.
Rehearse actor incentives, constraints, relationships, and second-order paths before formal validation.
Inspect how multiple AI actors influence one another through graph review, reports, and follow-up questions.
Turn a brief, event, or decision into an inspectable simulated path with actor reaction and second-order risk.
Turn source material into a scenario graph, AI simulation rounds, prediction report, and follow-up questions.
Compare strategic scenarios through source packets, actor graphs, simulation reports, and validation questions.
Change one assumption, inspect graph and report differences, and ask follow-up questions before acting.
Use MiroFish as a scenario engine to turn evidence, actors, constraints, and uncertainty into reviewable paths.
Explore plausible future paths from evidence, actors, constraints, incentives, and multi-round reactions.
Turn prediction questions, evidence, actors, signals, and uncertainty into reviewable forecast paths.
Research Polymarket market narratives, event scenarios, resolution criteria, uncertainty, and evidence gaps.
Inject YES catalysts, compare baseline vs bull shock paths, and inspect prediction market sensitivity and evidence gaps.
Use language-model actors with roles, memory, and context to inspect how group reaction may evolve.
Turn strategic plans, market memos, evidence, and constraints into inspectable future paths before committing.
Turn evidence, actors, and uncertainty into inspectable forecast paths before decisions harden.
Review revenue, cash flow, runway, budget scenarios, cost pressure, and FP&A assumptions before decisions harden.
Simulate earnings reactions, investor narratives, macro pressure, sector scenarios, and stock market risk signals.
Analyze investor mood, news sentiment, social market signals, bullish and bearish narratives, and evidence gaps.
Model how institutions, media, affected groups, and observers may reshape an incident, policy, or announcement.
Analyze reviews, comments, survey text, support notes, and social signals for sentiment drivers and themes.
Analyze reviews, surveys, support notes, social comments, and product feedback for sentiment drivers and themes.