What is MiroFish?
MiroFish is an AI Prediction Engine designed to run complex scenario simulations through a natural conversational interface. It accepts text prompts or attached files (PDF, MD, TXT) and automatically executes a multi-agent workflow: graph construction, behavioral simulation across personas, and synthesis of a detailed report.
How It Works
Users ask questions in plain English, such as “If a product raises its price next quarter, how will customer sentiment and narrative spread change?” MiroFish handles seed → simulation → report as one continuous prediction workflow. Behind the scenes it runs multi-agent modeling while keeping the user in a single chat thread. Each response includes a structured result card with summary, report access, and follow-up options.
Key Use Cases
Campaign Test — pressure-test launch narratives before going public;
Pricing Reaction — model customer pushback and sentiment shifts;
Policy Stress Test — identify supporting and opposing groups;
Market Narrative — simulate feedback loops between analysts, media, and public discourse.
Advantages of MiroFish
The platform stands out by moving beyond static forecasts to dynamic simulation of incentives, social dynamics, and narrative propagation. It maintains structure while preserving the speed and simplicity of ChatGPT-style interaction. The combination of graph building, multi-agent simulation, and automated reporting makes it a powerful tool for strategic decision-making.
MiroFish is particularly valuable for marketers, public affairs teams, strategists, and analysts who need to anticipate second-order effects and audience reactions.
Limitations
As the tool is still in active development (links to GitHub and Docs are provided), some advanced features may require a paid plan. Simulation quality depends heavily on prompt clarity and the depth of available persona data.
