Quick answer
MiroFish is a scenario simulation AI workspace, not a chatbot answer box.
You upload one focused source packet, ask a bounded simulation question, inspect the generated graph, then use the forecast report to review likely reactions, assumptions, and next tests.
How it works
Four layers make the forecast inspectable.
Layer 1
Source packet
Bring one focused report, memo, launch brief, policy draft, crisis note, or narrative outline. MiroFish needs a bounded world, not a messy archive.
Layer 2
Graph
The system extracts actors, topics, motives, claims, incentives, constraints, and relationships so the scenario can be inspected before agents react.
Layer 3
Multi-agent simulation
Agents react over multiple rounds, surfacing objections, amplification paths, trust signals, missing evidence, and narrative drift.
Layer 4
Forecast report
The report turns the simulated reaction into likely paths, assumptions, risks, evidence gaps, and next questions for the operator to review.
Why not just ask a chatbot?
A chatbot can summarize, brainstorm, or answer directly from a prompt. MiroFish is built for decisions where the answer depends on actors reacting to each other over time.
MiroFish exposes the model behind the answer.
The graph and report show what the system thinks matters: actors, claims, incentives, pressure points, assumptions, and evidence gaps. That makes the forecast easier to challenge.
Comparison
Where MiroFish fits among AI forecasting tools
Chatbot
A direct answer, summary, or brainstorm from a single prompt.
Traditional forecast
A model or analyst view that often hides the scenario structure.
MiroFish
An inspectable AI simulation workflow: source packet, graph, agent reaction, and forecast report.
Use cases
Use MiroFish when reaction changes the outcome.
Product launch reaction
Policy impact analysis
Public opinion forecasting
Crisis PR rehearsal
Market entry simulation
What to review before trusting a forecast
- Are the important actors present in the graph?
- Does the graph capture the real tension and incentives?
- Are assumptions visible in the forecast report?
- Does the next decision become clearer after the run?
FAQ
Questions about MiroFish
Is MiroFish an AI forecasting tool?+
Yes. MiroFish is an AI forecasting tool focused on scenario simulation. It forecasts by modeling actors, incentives, relationships, and reaction paths from source material.
Is MiroFish a multi-agent simulation tool?+
Yes. MiroFish uses multi-agent simulation to model how different actors may respond over multiple rounds, especially when the outcome depends on interaction.
What should I upload to MiroFish?+
Upload one focused source packet: a launch brief, market memo, policy draft, crisis note, analyst report, public opinion brief, or narrative outline.
Should I treat a MiroFish forecast as certain?+
No. Treat it as a structured hypothesis. The value is that MiroFish exposes likely paths, risks, assumptions, and evidence gaps before the real-world decision is harder to change.
Read next
Move from concept to operation.
MiroFish AI
Understand the brand-level AI simulation workflow and official paths.
Open guideHow to Use MiroFish
A first-run workflow for uploading a source packet and reviewing the forecast.
Open guideHow MiroFish Simulates the Future
A deeper explanation of the engine from graph to simulated reaction.
Open guideReady to test a real scenario?
Bring one source packet and one question. MiroFish will turn it into an inspectable graph, simulation, and forecast report.
Create a Simulation