MiroFish is an AI simulation chat for teams that need to rehearse a decision before the real world reacts. Ask a question in plain language - a launch, a price change, a policy rollout, a market narrative - and MiroFish builds the actor
graph, runs a multi-agent simulation, and returns a prediction report with turning points, risk signals, narrative paths, and follow-up questions. Attach a PDF, Markdown, or TXT brief when you want the simulation grounded in real context,
then keep questioning the generated world until your assumptions are clear.
Text-first simulation chat - ask in plain language and attach PDF, Markdown, or TXT when you need grounding.
Automatic knowledge graph - extracts actors, relationships, incentives, and factual anchors from your seed material.
Multi-agent simulation - personas interact across short-form and threaded social surfaces over multiple rounds.
Prediction reports - turning points, risk signals, narrative paths, and confidence cues in one structured card.
Deep follow-up - keep asking questions against the generated world instead of stopping at a static answer.
Decision playbooks - starting points for launches, pricing changes, policy debates, market narratives, and crisis response.
Pressure-test a launch narrative before committing spend.
Model customer sentiment and objection paths before a price increase.
Run a policy rollout as a tabletop exercise for controversy and coalition formation.
Stress-test market narratives where analysts, retail attention, and public discourse interact.
Rehearse crisis response and competitive reaction before the first public move.


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