Last updated 08-21-2026
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MiroFish
MiroFish runs scenario predictions inside a chat interface you use like any other AI assistant. You ask what might happen if prices rise, a spokesperson changes, or a policy hits public debate, and the system handles seed material, knowledge graph building, multi-agent simulation, and a structured report in one continuous workflow.
Standard chat answers collapse competing audience reactions into one confident paragraph. MiroFish keeps you in a single conversation while personas interact across simulated social surfaces, then drops a result card with summary, risk signals, narrative paths, and follow-up questions. That makes it better for rehearsing launches, pricing moves, and policy rollouts where the risk is how people react to each other, not the headline fact alone.
Strategy teams, marketers, and researchers use it when they need exploratory decision support before real markets or audiences respond. You can start text-only or attach PDF, Markdown, or TXT files as reality seeds, then keep questioning the generated world instead of stopping at a static forecast.
Text-first chat runs seed, simulation, and report as one continuous workflow
Multi-agent simulation models personas interacting across social-style surfaces
Knowledge graph extracts actors, relationships, and pressures from your question or files
Supports PDF, Markdown, and TXT attachments as scenario seed material
Structured result cards summarize risks, narrative paths, and follow-up questions
Use-case library covers pricing reaction, policy stress tests, and market narrative drills
Deep interaction lets you keep questioning the simulated world after the first report
Combines chat, multi-agent simulation, and reporting in one continuous workflow.
Result cards highlight risk signals and narrative paths instead of one flat answer.
Optional file seeds ground simulations in strategy memos, briefs, or research summaries.
Use-case library gives ready-made scenario boundaries for common business decisions.
Free chat entry on mirofish.homes lowers the barrier to testing a scenario quickly.
Public pricing page does not list plan prices; current plans live inside the product workspace.
Output is exploratory, not a guaranteed forecast, so it still needs human validation.
Complex scenarios may require careful prompt writing to keep the simulated world focused.
How does MiroFish handle scenario prediction?
MiroFish takes your question in chat, builds a knowledge graph from seed material, runs multi-agent simulation behind the scenes, and returns a structured prediction report with risk signals and follow-up paths.
What file types can I attach to MiroFish?
MiroFish accepts PDF, Markdown, and TXT files as optional seed material. Plain text questions work on their own, and files are most useful when they contain actors, incentives, or prior context.
Does MiroFish provide simulation summaries?
Yes. After each prediction, MiroFish drops a structured result card with an executive summary, risk signals, narrative paths, and suggested follow-up questions you can ask in the same chat.
Who is MiroFish designed for?
MiroFish fits professionals rehearsing launches, pricing changes, policy debates, market narratives, and crisis response where audience reaction loops matter more than a single static answer.
Do I need to switch tools during a MiroFish analysis?
No. MiroFish keeps graph building, agent simulation, and reporting inside one conversation so you never leave the chat to inspect intermediate steps.
Is MiroFish a guaranteed forecast?
No. MiroFish positions its output as exploratory decision support to rehearse plausible reactions. You should still validate conclusions with real data and judgment before acting.