MiroFish（mirofish.my） is a simple and universal swarm intelligence engine that turns 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. The product is built around graph-native predictive simulation, narrative stress testing, report generation, and deep interaction across a synthetic world. It is presented as a product shell rebuilt in Next.js, with a Python backend service responsible for generating platform-native behavior during simulation runs. The workflow follows five clear steps. Step 01 is Ontology Generation, which turns raw reports, notes, or fiction into structured entities, motives, and factual anchors. Step 02 is Graph Construction, which assembles a living relationship graph that exposes the actors, tensions, and memory structure behind the scenario. Step 03 is Parallel Simulation, where platform-native agents interact across Twitter and Reddit style channels over multiple rounds. Step 04 is Report Generation, which condenses the trajectory into a readable prediction report with key turning points, risks, and confidence signals. Step 05 is Deep Interaction, which lets users interrogate the generated world through ReportAgent or by interviewing individual characters directly. Users seed the simulation by uploading PDF, MD, Markdown, or TXT files, up to 50MB total, or by importing a link. A simulation prompt then frames how the uploaded material should evolve once agents begin reacting across public platforms, memory layers, and narrative pressure surfaces. The interface advertises support for 1M+ parallel agents per run, Twitter plus Reddit style simulation surfaces, and a prediction report as the primary output. Scenario templates cover several domains. Public Opinion models how institutions, media, influencers, and observers reshape the first narrative around an incident. Launch Reaction stress-tests product messaging before competitors, users, and commentators interpret a launch. Policy Impact inspects how stakeholder groups interpret a draft policy once incentives and compliance pressure collide. Brand Crisis examines how a fragile launch or reputational event expands when the public question drifts away from internal intent. Finance Case runs a market-facing scenario where management, analysts, and retail narratives react to the same financial signal differently. Literary Continuation treats a fictional world as a live graph of motives and memory, then tests how one new event changes the story. The forecast output includes an executive summary, predicted developments, major risks, evidence lines, key actors, and a long-form narrative explanation of how the outcome unfolds. The operator readout compresses the path into a concise readout of risks, key actors, and the evidence line behind the forecast. MiroFish states that forecasts are exploratory outputs and should be reviewed before operational, financial, or policy decisions, and that what stays human includes choosing the scenario boundary, judging whether the graph is missing pressure, and making high-stakes operating calls. The site also offers demo videos, system screenshots, a prompt recipe library, a blog with field notes, and a FAQ.