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    <title>DEV Community: MiroFish</title>
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      <title>MiroFish</title>
      <dc:creator>MiroFish</dc:creator>
      <pubDate>Thu, 27 Aug 2026 10:24:47 +0000</pubDate>
      <link>https://dev.to/simulate/mirofish-592f</link>
      <guid>https://dev.to/simulate/mirofish-592f</guid>
      <description>&lt;p&gt;Website:&lt;br&gt;
&lt;a href="https://mirofish.us" rel="noopener noreferrer"&gt;https://mirofish.us&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;About MiroFish&lt;br&gt;
MiroFish is an AI prediction engine built on multi-agent swarm intelligence. Instead of asking a single model to guess at an outcome, MiroFish rehearses the future: it takes your scenario, builds a knowledge graph of the real entities involved, and populates a simulated world with thousands of AI agents that each have their own personality, memory, and behavioral logic. Those agents then post, argue, persuade, and react to one another across Twitter-style and Reddit-style environments over dozens of rounds. What comes out the other side is emergent group behavior — the social contagion, faction formation, and second-order effects that conventional forecasting misses entirely.&lt;br&gt;
You start with a question. It can be a plain "what if" ("What happens if we raise prices 30% next quarter?"), or you can upload seed material — a news article, a policy draft, an analyst report, a market brief, even a novel — as PDF, Markdown, or plain text. MiroFish extracts the actors, tensions, and factual anchors from that material so the simulation stays grounded in reality rather than drifting into fiction.&lt;br&gt;
Five to ten minutes later you get a structured prediction report: the most likely outcome with an estimated confidence level, alternative&lt;/p&gt;

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