Who is this page for?
It is for readers who want to understand why MiroFish uses multiple agents instead of one prompt-answer loop.
Agent interaction
Multi-agent simulation is useful when one answer is too flat.
A single answer often hides disagreement. MiroFish uses multiple simulated perspectives so the report can show reactions, tensions, and possible branches.
Best use: model different actors and let their interactions reveal assumptions and weak signals. Bring scenario context, actor groups, motivations, constraints, and source material.
Workflow frame for multi-agent simulation with mirofish
| Reader question | Best input | Useful output | Do not use it for |
|---|---|---|---|
| model different actors and let their interactions reveal assumptions and weak signals | scenario context, actor groups, motivations, constraints, and source material | a report that shows reactions by group, areas of agreement, disagreements, and branch triggers | Simulated agents are abstractions. They can help think, but they do not replace real people or measured behavior. |
Multi-Agent Simulation with MiroFish: what this page answers
A single answer often hides disagreement. MiroFish uses multiple simulated perspectives so the report can show reactions, tensions, and possible branches.
The useful output is a report that shows reactions by group, areas of agreement, disagreements, and branch triggers.
SupporterCriticNeutral
Disagreement becomes evidence to inspectWhat reviewers should be able to inspect
Name the job
Model different actors and let their interactions reveal assumptions and weak signals.
Bring the right material
Use scenario context, actor groups, motivations, constraints, and source material. Remove stale notes, duplicate claims, and anything that would distract from the current decision.
Keep the first result
Save the prompt, report, source notes, and chosen next action. Comparison gets much easier when the first pass is not rewritten from memory.
Review the limit
Simulated agents are abstractions. They can help think, but they do not replace real people or measured behavior.
Signals worth keeping
Question
Model different actors and let their interactions reveal assumptions and weak signals.
Evidence
Keep the material visible: scenario context, actor groups, motivations, constraints, and source material.
Decision
Define actor groups before the run and review whether the report represented them fairly.
Boundary
Simulated agents are abstractions. They can help think, but they do not replace real people or measured behavior.
A realistic multi-agent simulation with mirofish use case
A public-message simulation may include supporter, critic, neutral, media, and operator perspectives. The useful detail is not the buzzword; it is how the component changes what reviewers can inspect later.
Keep the first pass small.
Using this guide
Simulated agents are abstractions. They can help think, but they do not replace real people or measured behavior.
Multi-Agent Simulation with MiroFish FAQ
What should I prepare first?
Prepare scenario context, actor groups, motivations, constraints, and source material. A smaller, clearer input is more useful than a large mixed packet that hides the decision.
What should I not expect?
Simulated agents are abstractions. They can help think, but they do not replace real people or measured behavior.
Related MiroFish pages
Multi-agent simulation focus
Multi-agent simulation works only when each agent has a role, a reason to react, and a shared scenario. A useful agent simulation names the agent groups, the simulation boundary, the disagreement to watch, and the evidence that would change the report.
Agent roles
Define supporter, critic, neutral, operator, or market agent groups before the simulation starts.
Simulation boundary
Keep the simulation tied to one scenario, one time window, and one reviewable output.