MiroFish is an AI simulation chat tool for scenario prediction. It turns text, PDF, Markdown, and TXT material into a single continuous prediction workflow that covers graph building, agent simulation, reporting, and follow-up chat. Instead of giving one isolated answer, MiroFish keeps structure, personas, social dynamics, and report synthesis in one sequence so users can question a generated world rather than accept a static forecast.
The product is text-first. A user starts with a plain-language question and then decides whether supporting files are necessary, without losing the speed of chat. Optional attachments such as PDF, Markdown, and TXT files work best when they contain concrete actors, incentives, constraints, or prior context, for example a strategy memo, product FAQ, policy brief, market note, or customer research summary. Behind the scenes, MiroFish runs graph building, simulation, and reporting as a multi-agent workflow while keeping the user inside a single conversation.
The workflow has five steps. Step 01, Seed Material, starts from a question, report, policy draft, market note, or story fragment. Step 02, Knowledge Graph, extracts actors, relationships, pressures, and factual anchors so agents reason from structure. Step 03, Agent Simulation, lets personas interact across short-form and threaded social surfaces over multiple rounds. Step 04, Prediction Report, condenses emergent behavior into turning points, risks, confidence signals, and follow-up paths. Step 05, Deep Interaction, lets users continue asking questions against the generated world.
Use cases focus on scenarios where human reaction matters more than a static answer. Campaign Test pressure-tests a launch narrative before it goes public, simulating how audience groups might amplify, resist, or reinterpret a message. Pricing Reaction explores friction behind a price increase by modeling customer sentiment, value perception, and objection paths across segments. Policy Stress Test acts as a tabletop exercise for controversy, coalition formation, and second-order reactions. Market Narrative watches narrative, incentives, and sentiment interact where spreadsheets miss feedback loops between analysts, retail attention, and public discourse.
Each answer can include a structured result card with a summary, a report entry point, and a follow-up path. A prediction report is designed to make the next question obvious, showing a summary, risk signals, narrative paths, and follow-up questions. The site also offers practical playbooks: write a sharper prediction prompt by naming the decision, audience, trigger, and time horizon; use files as reality seeds; and read the report like a rehearsal, looking for resistance signals, narrative bridges, and assumptions worth checking with real data.
MiroFish positions itself as exploratory decision support rather than a guaranteed forecast. It is intended for rehearsing plausible reactions before applying judgment, analytics, and real-world validation. The site lists a price of 0 USD in its structured data and offers a Start Chat entry point, with a related link to mirofish.my.
