MiroFish is an AI simulation chat platform designed for scenario prediction and exploratory decision support. It transforms text, PDFs, MD, and TXT files into a continuous prediction workflow encompassing graph building, multi-agent simulation, and reporting. By letting structured AI personas interact across simulated social surfaces over multiple rounds, it maps out human reaction loops, audience amplification, resistance signals, and narrative paths rather than providing a static forecast.
AI simulation chat for scenario prediction and reaction modeling.
- Pressure-testing a campaign launch narrative before it goes public
- Modeling customer sentiment
- value perception
- and segment pushback for pricing changes
- Conducting policy stress tests to find loopholes
- controversy points
- and coalition formations
- Simulating market narratives to watch interactions between analysts
- retail attention
- and public discourse
- Start by typing a plain-language question or scenario prompt into the chat box. Optionally
- attach supporting files like PDFs
- Markdown
- or text documents to act as reality seeds. The system will automatically build a knowledge graph
- run a multi-agent simulation behind the scenes
- and output a structured prediction report that you can continue to question and interact with.
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