MiroFish is an AI simulation chat for teams that need to rehearse a high-stakes decision before the real world reacts. Instead of one confident chatbot answer, describe the situation in plain language - a product launch, a price increase,
a policy rollout, or a market narrative - and MiroFish turns it into a simulated world you can question.
Behind the chat, it extracts actors, relationships, incentives, and constraints, then builds a knowledge graph that grounds every simulated persona in structure rather than vibes. Those agents interact across short-form and threaded social
surfaces over multiple rounds, producing emergent clusters, resistance signals, and narrative paths that a static forecast usually misses.
When the simulation finishes, MiroFish returns a structured prediction report with an executive summary, turning points, risk signals, evidence lines, and the next questions worth asking. You can keep questioning the generated world,
testing how the outcome changes when an incentive shifts, a spokesperson changes, or a competitor responds.
Start with text alone, or attach PDF, Markdown, and TXT briefs such as strategy memos, policy briefs, or customer research. MiroFish is exploratory decision support for product, marketing, strategy, and policy teams - a way to pressure-
test assumptions before committing budget, reputation, or public trust.
