What if you could rehearse a crisis before it happens, pressure-test a campaign before you spend, or map the second-order reactions to a pricing change — all by asking a question in plain language?
That's MiroFish.
MiroFish is an AI simulation engine that lets you talk to a scenario the way you'd talk to ChatGPT. Ask a question. Upload a document if you want. Behind the scenes, a multi-agent system builds a knowledge graph, runs agent-based simulations across social surfaces, and delivers a structured prediction report — all inside a single conversation.
Why Not Just Ask ChatGPT?
Single-model answers collapse competing audience reactions into one confident response. MiroFish doesn't.
It creates a living scenario: agents with distinct personas, incentives, and memories interact over multiple rounds. You get to watch narrative spread, resistance clusters, and emergent behavior — not a single summary paragraph.
| Approach | What you get |
|---|---|
| Single chat answer | Fast, useful, but often one-dimensional |
| Manual research | Thorough, but slow when many groups interact at once |
| MiroFish | Agents, memory, social surfaces, and a report you can keep questioning |
How It Works
- Seed — Start with a plain-language question. Add a strategy memo, policy brief, or customer research as optional grounding.
- Graph — The engine extracts actors, relationships, pressures, and factual anchors into a structured knowledge graph.
- Simulate — Personas interact across short-form and threaded social surfaces over multiple rounds.
- Report — A prediction report surfaces turning points, risk signals, narrative paths, and confidence indicators.
- Keep Asking — Unlike a static forecast, you continue questioning the generated world to explore counterfactuals.
What Can You Use It For?
🎯 Campaign Testing
"What happens if we launch this positioning in a skeptical category?"
Simulate how audience groups might amplify, resist, or reinterpret your message before you commit budget.
💰 Pricing Reactions
"If we raise prices next quarter, which customer groups push back first?"
Model sentiment, value perception, and likely objection paths across different segments.
🏛️ Policy Stress Tests
"If this policy enters public debate, where does support split?"
Use simulation as a tabletop exercise for controversy, coalition formation, and second-order effects.
📈 Market Narratives
"What if positive news meets coordinated skepticism on social channels?"
Stress-test market stories where spreadsheets miss the feedback loop between analysts, retail attention, and public discourse.
What Makes a Good Prompt?
Name the decision, the audience, the likely trigger, and the time horizon. A narrow question gives the simulated world less room to drift.
❌ "What will happen if we change our pricing?"
✅ "What happens to customer trust if we remove a bundled charger from the flagship model next quarter?"
The Report You'll Get
Every answer drops a structured result card with:
- Executive summary — likely trajectory at a glance
- Risk signals — what could derail the outcome
- Narrative paths — how the story spreads (and where it fractures)
- Follow-up questions — "Which persona creates the first negative cascade? What changes if we announce a transition plan first?"
Is This a Guaranteed Forecast?
No. And it doesn't pretend to be.
MiroFish is exploratory decision support — a way to rehearse plausible reactions, surface blind spots, and sharpen your own judgment before you use analytics and real-world validation.
Try It
If you're planning a launch, testing a pricing change, or staring at a policy draft wondering what you're missing — open MiroFish and ask it a question.
No setup required. Start with text, add files when you want more grounding.
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