MiroFish

AI predictor

An AI predictor that turns scenarios into inspectable reports.

MiroFish helps teams predict by simulation: describe the question, ground it with seed data, run agent interactions, and review a report that explains why outcomes may diverge.

Prediction without pretending certainty

MiroFish is designed for prediction questions where context matters. Instead of returning one confident sentence, it helps you inspect the assumptions, actors, and simulated conversations behind a possible outcome.

Use it for market narratives, product launches, policy debates, creator strategy, community response, and other questions where human reaction is part of the signal.

How to get a better prediction run

Narrow the question

Ask about a specific actor, outcome, time horizon, and decision context instead of asking for a broad forecast.

Ground the agents

Add enough seed material for the system to understand the entities, incentives, and constraints in the scenario.

Rerun with changes

Compare reports after changing assumptions. The difference between runs is often more useful than a single answer.

Related MiroFish guides