Introducing MiroFish: Predict Anything, But Talk to It Like ChatGPT

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.

How It Works

1. Seed — Start with a plain-language question. Add a strategy memo, policy brief, or customer research as optional grounding.

2. Graph — The engine extracts actors, relationships, pressures, and factual anchors into a structured knowledge graph.

3. Simulate — Personas interact across short-form and threaded social surfaces over multiple rounds.

4. Report — A prediction report surfaces turning points, risk signals, narrative paths, and confidence indicators.

5. 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](https://mirofish.homes/) and ask it a question.

No setup required. Start with text, add files when you want more grounding.