MiroFish

MiroFish is an AI simulation chat platform for scenario prediction. It allows users to ask questions about future events (like market changes or policy impacts) and uses multi-agent AI to simulate outcomes, delivering structured insights via a conversational interface.

You type a prediction question into the chat. The system then orchestrates a backend workflow: analyzing your query, running multi-agent simulations (e.g., modeling narrative spread or group dynamics), and generating a summary report. Results appear as structured cards in the chat.

Ask about scenarios involving human behavior, sentiment, narrative spread, or group dynamics. Examples include predicting customer reaction to a price hike, simulating public opinion after a brand change, or modeling which groups will support a new policy first.

No, it's text-first. You can start with just a question. File attachments (like documents or data) are optional to provide additional context for the simulation without slowing down the chat experience.

Result cards are structured outputs dropped into the chat after a prediction. They contain a brief summary of the simulation, a direct link to the full detailed report, and suggested follow-up questions or analysis paths to explore next.

It uses a similar conversational interface but is specialized for prediction. Unlike general ChatGPT, MiroFish automatically triggers a multi-agent simulation workflow (graph building, simulation, reporting) tailored to forecasting specific future scenarios.

It's for professionals needing to model and predict outcomes, such as product managers forecasting launch reactions, marketers simulating campaign narratives, policy researchers analyzing debate dynamics, or risk teams assessing strategic decisions.

The orchestration preview shows sample questions demonstrating the system's prediction workflow. It illustrates how a single query (e.g., about price change impact) initiates the full seed-to-simulation-to-report process.

The platform is designed for scenario simulation, which can model evolving narratives and sentiment over defined periods, such as 'next quarter.' The timeframe and depth depend on how the question is framed and the simulation parameters.

Based on the website content, users can 'Start Chat' and 'View Examples' directly, suggesting an accessible interface to try the prediction workflow. For specific pricing or trial details, check the official documentation or pricing page.