Growth decisions
Launch, price, or enter a market
Use these paths before a public-facing commercial decision creates customer, competitor, or category pressure.
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.
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.
Narrative systems
Forecast story worlds and sports narratives
Use these paths when motives, memory, pressure, and competing interpretations shape the next event.
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
Behavior model
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
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
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
Launch reaction
Product Launch Simulation AI
Test buyer understanding, competitor framing, pricing objections, and the first story the market may tell.
GTM rehearsal
Pricing pressure
Pricing Simulation AI
Rehearse customer objections, package migration risk, churn narratives, and competitor counter-positioning.
Pricing rollout
Market entry
Market Entry Simulation AI
Test buyer urgency, incumbent response, partner constraints, and category framing before entering a new market.
Entry strategy
Crisis response
Crisis Simulation AI
Stress-test incident response, public narratives, media reaction, evidence gaps, and escalation pressure.
Response rehearsal
Competitive strategy
Competitive Intelligence AI
Simulate competitor responses, buyer objections, sales pressure, and positioning risks before the market compares you.
Competitor response
Customer evidence
Customer Research Simulation AI
Turn interviews, support notes, reviews, and product ideas into segment reactions and validation questions.
Research rehearsal
Policy impact
Policy Impact Simulation AI
Test stakeholder reaction, public interpretation, fairness narratives, and rollout gaps before a policy goes live.
Policy pressure
Sports forecast
World Cup Prediction
Build an evidence-led 2026 match forecast from team context, tournament pressure, and competing narratives.
Sports scenario page
Story worlds
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