MiroFish

MiroFish is an AI simulation chat tool for scenario prediction. It is designed for people who need to understand how groups of people might react to a decision, announcement, policy, price change, campaign, or market narrative before that decision is made in the real world. Instead of returning a single static answer, MiroFish runs a continuous prediction workflow that moves from seed material to knowledge graph, agent simulation, prediction report, and follow-up interaction. The workflow starts with seed material. A user can begin with a plain-language question, a report, a policy draft, a market note, or a story fragment. Text is the primary input, and PDF, Markdown, and TXT files can be attached when the scenario needs to be grounded in a specific document. The system then extracts actors, relationships, pressures, and factual anchors into a knowledge graph so that agents reason from structure rather than from an isolated prompt. After the graph is built, MiroFish runs a multi-agent simulation. Personas interact across short-form and threaded social surfaces over multiple rounds, which allows emergent clusters, resistance signals, and narrative paths to appear. The prediction report then condenses this emergent behavior into turning points, risks, confidence signals, and follow-up paths. Users can continue asking questions against the generated world instead of stopping at a static answer. MiroFish is positioned as exploratory decision support rather than a guaranteed forecast. It is intended for rehearsing plausible reactions before using judgment, analytics, and real-world validation. The site presents use cases such as campaign testing, pricing reaction exploration, policy stress testing, and market narrative analysis. It also offers practical playbooks for writing sharper prediction prompts, using files as reality seeds, and reading reports as rehearsals. The product is web-based and the site lists a price of zero in its structured data.