MiroFish

Scenario prediction chat

A scenario prediction chat for decisions that need evidence, agents, and a report.

MiroFish gives the familiar chat flow a stronger job: collect context, shape the scenario, simulate different perspectives, and produce an inspectable report for the next decision.

Use chat to control the simulation

Many teams start with a question such as "what could happen if we change pricing?" or "how will this launch message land?" A plain chatbot can answer quickly, but it often compresses the situation into one response.

MiroFish treats the chat as the steering layer. You can define the question, add seed material, ask for different stakeholder perspectives, and rerun the scenario after changing one assumption.

What the prediction chat should produce

Scenario branches

See which paths appear plausible, what triggers each path, and where the scenario becomes sensitive to one assumption.

Agent disagreements

Preserve conflict between simulated perspectives instead of flattening every stakeholder into a single answer.

Decision notes

Turn the conversation into a report with risks, follow-up tests, and the evidence that would make the plan safer.

How to read the output

Use the report as a rehearsal, not a guarantee. The strongest result is often not the predicted answer, but the list of assumptions that deserve testing before money, reputation, or operational work is committed.

Updated: 2026-06-23.

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