MiroFish is an AI prediction engine built on multi-agent swarm intelligence. Instead of asking a single model to guess at an outcome, MiroFish rehearses the future: it takes your scenario, builds a knowledge graph of the real entities involved, and populates a simulated world with thousands of AI agents that each have their own personality, memory, and behavioral logic. Those agents then post, argue, persuade, and react to one another across Twitter-style and Reddit-style environments over dozens of rounds. What comes out the other side is emergent group behavior — the social contagion, faction formation, and second-order effects that conventional forecasting misses entirely.

You start with a question. It can be a plain "what if" ("What happens if we raise prices 30% next quarter?"), or you can upload seed material — a news article, a policy draft, an analyst report, a market brief, even a novel — as PDF, Markdown, or plain text. MiroFish extracts the actors, tensions, and factual anchors from that material so the simulation stays grounded in reality rather than drifting into fiction.

Five to ten minutes later you get a structured prediction report: the most likely outcome with an estimated confidence level, alternative