MiroFish | Simulate The Future

MiroFish transforms real-world seeds such as news, policy drafts, analytical reports, or fiction into a parallel world populated by agents with memory, motives, and social behavior.
From public opinion forecasting to literary continuation, it lets you inject variables, run social evolution, and inspect the likely trajectory before the real world catches up.
Turn raw reports, notes, or fiction into structured entities, motives, and factual anchors.
Assemble a living relationship graph that exposes the actors, tensions, and memory structure behind the scenario.
Let platform-native agents interact across Twitter and Reddit style channels over multiple rounds.
Condense the trajectory into a readable prediction report with key turning points, risks, and confidence signals.
Interrogate the generated world through ReportAgent or by interviewing individual characters directly.
Upload narrative seeds, analytical reports, policy drafts, or story fragments. The graph, simulation, report, and interaction chain will be opened from one console.
A full walkthrough of how a seeded public opinion case expands into a simulation and report.
A literary continuation experiment showing how narrative seeds can drive a deep predictive world.
Model how institutions, media, influencers, and observers reshape the first narrative around an incident.
Stress-test product messaging before competitors, users, and commentators interpret the launch for you.
Inspect how different stakeholder groups interpret a draft policy once incentives and compliance pressure collide.
See how a fragile launch or reputational event expands when the public question drifts away from internal intent.
Run a market-facing scenario where management, analysts, and retail narratives react to the same financial signal differently.
Treat a fictional world as a live graph of motives and memory, then test how one new event changes the story.
The graph, simulation, and report views reveal what MiroFish actually produces, so the first visit becomes an inspection session instead of a blank decision.
The report compresses the path into a concise readout of risks, key actors, and the evidence line behind the forecast.
Best for incidents, controversies, and reputation-sensitive policy events.
Best for product launches, open betas, and brand announcements.
Best for regulation, governance changes, and public institution messaging.
Best for fiction, scenario writing, and character-driven world simulation.
Learn how to use MiroFish to upload source material, frame an AI simulation, review the graph, run agents, and read the forecast report.
Learn what MiroFish is: an AI simulation workspace that turns source material into a graph, multi-agent simulation, and forecast report.
See how MiroFish turns source material into a scenario graph, multi-agent simulation workflow, and reviewable AI forecast report.
Learn what multi-agent simulation is, when it helps, and how MiroFish uses actor graphs, reaction rounds, and forecast review.
Use this MiroFish forecast review checklist to validate scenario framing, graph quality, assumptions, confidence, and rerun prompts.
The current product shell accepts PDF, Markdown, and plain text. The workflow assumes the file contains enough narrative, analytical, or factual seed material to build a graph and simulation context.
The product flow is designed around a dual-surface simulation. In fixture mode the posts and actions are deterministic; in backend mode the Python service is responsible for generating platform-native behavior.
Yes. The built-in scenarios cover public opinion events, literary continuation, market or finance cases, and a general-purpose predictive mode.
Each report includes an executive summary, predicted developments, major risks, evidence lines, key actors, and a long-form narrative explanation of how the outcome unfolds.
A product shell rebuilt in Next.js for graph-native predictive simulation, narrative stress testing, report generation, and deep interaction across a synthetic world.
support: support@mirofish.my
MiroFish is an independent simulation product. Forecasts are exploratory outputs and should be reviewed before operational, financial, or policy decisions.
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