mirofish

MiroFish is an AI scenario simulation workspace for prediction and decision rehearsal. It helps teams turn a focused source packet into a structured scenario graph, run agent reaction rounds, and
review a forecast report before acting. Instead of giving a generic one-shot answer, MiroFish keeps the reasoning path visible so users can inspect actors, incentives, constraints, narrative shifts,
and second-order effects.

Use MiroFish when the outcome depends on people, organizations, markets, or public narratives reacting to each other. It is especially useful for product launches, pricing changes, policy drafts,
market moves, customer research, public opinion analysis, and crisis response. The goal is not to claim certainty about the future. The goal is to rehearse plausible scenarios, surface fragile
assumptions, and identify what evidence should be checked next.

MiroFish supports a text-first workflow and can work with documents such as reports, memos, launch briefs, research summaries, Markdown notes, and plain-text source material. The platform extracts
key entities and relationships, then turns them into a simulation-ready structure that can be reviewed and questioned. Users can continue asking follow-up questions after the first report, compare
alternative assumptions, and run the scenario again when the source changes.

Typical outputs include a scenario graph, reaction paths, risk signals, narrative bridges, confidence notes, and follow-up questions. That makes MiroFish useful for founders, product teams,
marketers, researchers, and analysts who need to stress-test a decision before it goes public.

MiroFish is not a guaranteed prediction machine. It is a structured way to explore uncertainty, make assumptions explicit, and prepare for how different groups may react once a decision is visible.