Seed driven
MiroFish starts from documents, notes, or pasted context instead of relying only on a generic model memory.
MiroFish AI
MiroFish AI turns seed data into multi-agent prediction simulations.
Use this page when you want the short version of what MiroFish does: it builds a structured world from your input, lets many AI agents interact inside that world, and turns the result into a report you can question.
Quick answer
MiroFish AI is best understood as a prediction and simulation engine, not a single prompt tool. You provide seed material and a scenario. MiroFish extracts entities, builds a graph, prepares simulated agents, runs interactions, and produces a structured report.
That makes it useful for questions where human behavior, public narratives, competing incentives, or group reactions matter more than a simple statistical forecast.
What makes it different from ordinary AI chat
Graph based
The system organizes entities and relationships before simulation, which helps keep a complex scenario coherent.
Agent based
Multiple generated agents interact over rounds, making it easier to inspect shifts, conflicts, and turning points.