MiroFish is an AI prediction tool designed to turn questions into a sequence of structured analysis, graph building, simulation, and reporting within a single conversation. It emphasizes a text-first approach and supports optional attachments to ground the simulation. It targets decision-makers who want to rehearse scenarios before committing resources or communicating plans.
MiroFish operates by starting with a plain-language question and then determining whether accompanying files are needed. It runs graph building, simulation, and reporting behind the scenes while keeping the user inside one conversation, which allows iterative questioning as the simulated world unfolds.
The main interface yields result cards after each answer, providing a summary, an entry point to a report, and a follow-up path. The workflow emphasizes keeping structure, personas, social dynamics, and report synthesis in one sequence rather than offering a single isolated answer.
The product presents a set of practical playbooks and stepwise workflows, including seed material, knowledge graph extraction, multi-agent simulation, prediction reporting, and deep interaction, all intended to support planning moments where simulated audiences, incentives, and narratives influence decisions.
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