Predict Anything

Simulation paths

MiroFish Use Cases

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.

Featured from usage data

Market Simulation AI

Stress-test launches, pricing, competitors, and market entry before the public story forms around the decision.

Most-used named use caseOpen use case

Choose by job

Match the page to the decision you need to test.

Each use case owns one search intent. Start where the evidence is strongest, then follow the related paths when the decision creates adjacent risk.

Growth decisions

Launch, price, or enter a market

Use these paths before a public-facing commercial decision creates customer, competitor, or category pressure.

Market Simulation AI Go To Market Simulation Go To Market Testing Launch Strategy Simulation Product Launch Research Product Launch Validation Product Launch Simulation AI Product Launch Reaction Simulation Buyer Reaction Simulation Pricing Simulation AI Pricing Objection Analysis Pricing Strategy Simulation Pricing Research Tool Price Sensitivity Analysis Tool Financial Forecasting Stock Market Simulator Market Sentiment Analysis Market Entry Simulation AI

Evidence decisions

Understand customers and competitors

Use these paths when the source material is research, sales evidence, support notes, or competitor messaging.

Public pressure

Rehearse policy, opinion, and crisis response

Use these paths when the risk is interpretation, trust, escalation, or a response that may be judged in public.

AI Forecasting Tool AI Scenario Planning Scenario Simulation AI Scenario Engine Predictive Simulation Prediction Bot Polymarket Market Research Multi-Agent Simulation AI Agent-Based Simulation AI LLM Social Simulation Public Opinion Stress Test Sentiment Analysis Tool Policy Impact Simulation AI Policy Impact Analysis Policy Impact Assessment Crisis Simulation AI Reputation Crisis Management Crisis PR Simulation

Narrative systems

Forecast story worlds and sports narratives

Use these paths when motives, memory, pressure, and competing interpretations shape the next event.

Multi-Agent Simulation AI Agent-Based Simulation AI Scenario Simulation AI Scenario Engine LLM Social Simulation Narrative Forecasting AI World Cup Prediction

Featured use cases

Start with the decision surface, not the model.

The top navigation should stay short. This page carries the growing library as new focused pages are added.

Market narrative

Market Simulation AI

Stress-test launches, pricing, competitors, and market entry before the public story forms around the decision.

Most-used named use case

Simulation method

Multi-Agent Simulation AI

Model how multiple actors react, influence each other, and create second-order paths around the same scenario.

Core simulation pattern

Agent-Based Simulation AI

Model actors, incentives, rules, and constraints to inspect how local behavior becomes a system outcome.

Actor behavior systems

Scenario rehearsal

Scenario Simulation AI

Turn a brief, event, or decision into an inspectable simulated path with actor reaction and second-order risk.

Decision rehearsal

Scenario method

Scenario Engine

Use MiroFish as a scenario engine to turn evidence, actors, constraints, and uncertainty into reviewable paths.

Predictive Simulation

Explore plausible future paths from evidence, actors, constraints, incentives, and multi-round reactions.

Prediction review

Prediction Bot

Turn prediction questions, evidence, actors, signals, and uncertainty into reviewable forecast paths.

AI prediction workflow

Prediction markets

Polymarket Market Research

Research Polymarket market narratives, event scenarios, resolution criteria, uncertainty, and evidence gaps.

Market research

Prediction markets

Bull Shock Simulation

Inject YES catalysts, compare baseline vs bull shock paths, and inspect prediction market sensitivity and evidence gaps.

YES catalyst test

Social dynamics

LLM Social Simulation

Use language-model actors with roles, memory, and context to inspect how group reaction may evolve.

LLM social modeling

Strategic futures

AI Scenario Planning

Turn strategic plans, market memos, evidence, and constraints into inspectable future paths before committing.

Planning rehearsal

Forecasting workflow

AI Forecasting Tool

Turn evidence, actors, and uncertainty into inspectable forecast paths before decisions harden.

Forecast review

Finance forecast

Financial Forecasting

Review revenue, cash flow, runway, budget scenarios, cost pressure, and FP&A assumptions before decisions harden.

Finance scenario review

Market scenarios

Stock Market Simulator

Simulate earnings reactions, investor narratives, macro pressure, sector scenarios, and stock market risk signals.

Market scenario review

Market sentiment

Market Sentiment Analysis

Analyze investor mood, news sentiment, social market signals, bullish and bearish narratives, and evidence gaps.

Investor sentiment

Public pressure

Public Opinion Stress Test

Model how institutions, media, affected groups, and observers may reshape an incident, policy, or announcement.

Crisis and policy pressure

Sentiment research

Sentiment Analysis Tool

Analyze reviews, comments, survey text, support notes, and social signals for sentiment drivers and themes.

Feedback signal review

Go To Market Simulation

Simulate buyer reaction, pricing pressure, channel friction, competitor response, and GTM proof gaps before rollout.

GTM strategy rehearsal

Go To Market Testing

Turn ICP, positioning, pricing, sales motion, channel, and proof assumptions into testable GTM questions.

GTM validation plan

Launch strategy

Launch Strategy Simulation

Simulate audience sequence, channel timing, positioning, pricing pressure, and competitor response before rollout.

Strategy rehearsal

Launch research

Product Launch Research

Analyze launch briefs, customer notes, competitor research, pricing context, and beta feedback before release.

Pre-launch research

Market research

Pre Launch Market Research

Inspect market signals, customer evidence, competitor context, positioning assumptions, and proof gaps before launch.

Pre-launch market read

Launch validation

Product Launch Validation

Validate launch claims, segments, pricing assumptions, buyer objections, and GTM proof gaps before release day.

Pre-release validation

Launch reaction

Product Launch Simulation AI

Test buyer understanding, competitor framing, pricing objections, and the first story the market may tell.

Launch reaction

Product Launch Reaction Simulation

Rehearse buyer, user, competitor, and public response before launch day turns messaging into market fact.

Reaction rehearsal

Pricing pressure

Pricing Simulation AI

Rehearse customer objections, package migration risk, churn narratives, and competitor counter-positioning.

Pricing rollout

Pricing pressure

Pricing Objection Analysis

Analyze buyer price objections, discount pressure, procurement friction, competitor anchors, and proof gaps.

Objection diagnosis

Pricing strategy

Pricing Strategy Simulation

Simulate package design, discount policy, sales friction, competitor response, and pricing rollout tradeoffs.

Pricing strategy

Pricing research

Pricing Research Tool

Inspect willingness-to-pay evidence, competitor anchors, packaging assumptions, and pricing research gaps.

Pricing evidence

Price sensitivity

Price Sensitivity Analysis Tool

Analyze segment sensitivity, price thresholds, discount pressure, competitor anchors, and value proof gaps.

Sensitivity analysis

Market Entry Simulation AI

Test buyer urgency, incumbent response, partner constraints, and category framing before entering a new market.

Crisis response

Crisis Simulation AI

Stress-test incident response, public narratives, media reaction, evidence gaps, and escalation pressure.

Response rehearsal

Reputation risk

Reputation Crisis Management

Inspect stakeholder trust, media narratives, public backlash, evidence gaps, and reputation repair paths.

Crisis PR Simulation

Rehearse statements, media questions, stakeholder backlash, spokesperson language, and timing risk.

Competitive strategy

Competitive Intelligence AI

Simulate competitor responses, buyer objections, sales pressure, and positioning risks before the market compares you.

Competitor response

Competitive Response Simulation

Simulate how competitors may answer a launch, pricing change, positioning move, or market entry.

Rival counter-move

Customer evidence

Customer Research Simulation AI

Turn interviews, support notes, reviews, and product ideas into segment reactions and validation questions.

Research rehearsal

Buyer Reaction Simulation

Simulate B2B buyer objections, pricing pressure, proof gaps, switching risk, and competitor alternatives before rollout.

Buyer decision rehearsal

Policy Impact Simulation AI

Test stakeholder reaction, public interpretation, fairness narratives, and rollout gaps before a policy goes live.

Policy pressure

Policy analysis

Policy Impact Analysis

Compare policy options, stakeholder effects, evidence gaps, implementation risks, and decision tradeoffs.

Policy decision review

Policy assessment

Policy Impact Assessment

Assess affected groups, equity risks, implementation gaps, compliance pressure, and evidence needs before rollout.

Sports forecast

World Cup Prediction

Build an evidence-led 2026 match forecast from team context, tournament pressure, and competing narratives.

Sports scenario page

Narrative Forecasting AI

Treat a fictional world as a graph of motives, memory, and tension, then test how one new event changes the path.

Creative simulation

Same engine, different futures

Every use case follows the MiroFish workflow.

The page changes the question. The product still runs through evidence, graph construction, simulation, report, and follow-up interrogation.

01
Upload evidence
Bring the brief, report, article, memo, or source material that defines the situation.
02
Build graph memory
MiroFish extracts actors, incentives, constraints, and memory into a visible simulation structure.
03
Run reaction rounds
Agents interact across multiple rounds so the second-order reaction is part of the forecast.
04
Read and question
Review the report, inspect the assumptions, and ask follow-up questions about the simulated world.

Have a source already?

Turn it into a simulation path.

Upload the material you already have and choose the scenario you want MiroFish to stress-test.

Start from the console