MiroFish - AI Simulation Chat for Scenario Predicti
MiroFish is an AI simulation chat tool for scenario prediction. It turns text, PDF, Markdown, and TXT inputs into a continuous prediction workflow that covers graph building, simulation, reporting, and follow-up chat. Instead of returning a single isolated answer, MiroFish keeps structure, personas, social dynamics, and report synthesis in one sequence so users can question a generated world rather than stop at a static response.
The workflow starts with seed material. A user can begin from a plain-language question, a report, a policy draft, a market note, or a story fragment. Text is the primary input, and supporting files such as PDF, Markdown, and TXT are optional attachments that ground the simulation in concrete actors, incentives, constraints, or prior context. Useful seeds include strategy memos, product FAQs, policy briefs, market notes, and customer research summaries.
From that seed material, MiroFish builds a knowledge graph that extracts actors, relationships, pressures, and factual anchors so agents reason from structure. An agent simulation then lets personas interact across short-form and threaded social surfaces over multiple rounds. The prediction report condenses emergent behavior into turning points, risks, confidence signals, and follow-up paths. Deep interaction lets users continue asking questions against the generated world.
MiroFish presents structured result cards below each answer, with a summary, a report entry point, and a follow-up path. The interface is text-first and chat-like, so users can ask a question directly and let the system handle seed, simulation, and report as one continuous prediction workflow. Example prompts include asking how customer sentiment and narrative spread might change if a product raises its price next quarter, how public opinion might move if a brand changes its spokesperson, or which groups are likely to support or oppose a policy first.
Use cases focus on scenarios where reaction matters more than a static answer. Campaign Test pressure-tests a launch narrative before it goes public, simulating
