Overview
Miro Fish is an advanced AI-powered simulation engine designed for scenario prediction. Unlike standard chatbots, it utilizes a multi-agent system to simulate complex social dynamics, audience reactions, and narrative evolutions, allowing users to "rehearse" the outcomes of strategic decisions.
Main Purpose and Target User Group
The primary purpose of Miro Fish is to provide decision support for scenarios where human reaction loops are critical. It is designed for product managers, marketing strategists, policy analysts, and business leaders who need to pressure-test campaigns, pricing strategies, and public policy rollouts against simulated audience resistance and market feedback.
Function Details and Operations
Continuous Prediction Workflow
The system seamlessly integrates seed input, agent-based simulation, and comprehensive reporting into one fluid process.
Multi-Agent Simulation
The platform runs graph building and persona-based interactions to model how different groups influence each other.
Text-First Interaction
Users start with a direct question, with the option to attach supporting files (PDF, Markdown, text) to ground the simulation in specific data.
Structured Result Cards
Each simulation generates a report containing executive summaries, risk signals, narrative paths, and suggested follow-up questions.
Deep Interaction
Users can continue to query the generated "world" after the initial report, allowing for iterative exploration of specific variables.
User Benefits
- Risk Mitigation: Identify potential backlash or narrative failures before committing resources.
- Strategic Foresight: Visualize feedback loops between analysts, retail attention, and public discourse.
- Efficiency: Automate the simulation of complex social and market reactions to save time on manual research.
- Evidence-Based Decision Making: Use simulation as a "tabletop exercise" to refine messaging and identify stakeholder support or opposition.
Compatibility and Integration
Miro Fish is a web-based platform accessible via browser. It supports the ingestion of PDFs, Markdown, and text documents, allowing for integration with existing strategy memos, product FAQs, and market research summaries.
Use Cases
- Campaign Testing: Pressure-testing launch narratives to anticipate audience reinterpretation.
- Pricing Strategy: Modeling customer sentiment and objection paths prior to price changes.
- Policy Stress Testing: Identifying loopholes and coalition formation in public policy debates.
- Market Narrative Analysis: Stress-testing how coordinated skepticism might impact brand perception.
Access and Activation Method
Users can access the full simulation experience by visiting the official platform at mirofish.my. The process begins by entering a prompt or uploading seed material, followed by the AI-driven orchestration of the simulation to generate an actionable prediction report.
