https://mirofish.homes/

About https://mirofish.homes/

MiroFish is an AI simulation chat tool for scenario prediction. It turns text, PDF, MD, and TXT input into graph building, simulation, reporting, and follow-up chat through one continuous AI prediction workflow. The product is positioned as a way to predict anything while talking to it like ChatGPT, letting users ask a question directly and letting the system handle seed, simulation, and report as a single sequence.

The workflow begins with seed material: a plain-language question, report, policy draft, market note, or story fragment. From there, MiroFish extracts actors, relationships, pressures, and factual anchors into a knowledge graph so that agents reason from structure. In the agent simulation step, personas interact across short-form and threaded social surfaces over multiple rounds. The prediction report then condenses emergent behavior into turning points, risks, confidence signals, and follow-up paths. Finally, deep interaction lets users continue asking questions against the generated world instead of stopping at a static answer.

MiroFish is text-first, so users can start with a question and then decide whether supporting files are necessary without losing the speed of chat. PDF, Markdown, and text files work best when they contain concrete actors, incentives, constraints, or prior context, such as a strategy memo, product FAQ, policy brief, market note, or customer research summary. Each answer can include a structured result card with a summary, report entry point, and follow-up path.

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 how audience groups might amplify, resist, or reinterpret a campaign message. Pricing Reaction explores the friction behind a price increase by modeling customer sentiment, value perception, and likely objection paths across segments. Policy Stress Test finds groups, incentives, and loopholes in a policy rollout, using simulation as a tabletop exercise for controversy, coalition formation, and second-order reactions. Market Narrative watches narrative, incentives, and sentiment interact, stress-testing market stories where spreadsheets miss the feedback loop between analysts, retail attention, and public discourse.

The site also offers practical playbooks. Writing a sharper prediction prompt means naming the decision, the audience, the likely trigger, and the time horizon. Using files as real