Scenario branches
See which paths appear plausible, what triggers each path, and where the scenario becomes sensitive to one assumption.
Scenario prediction chat
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.
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.
See which paths appear plausible, what triggers each path, and where the scenario becomes sensitive to one assumption.
Preserve conflict between simulated perspectives instead of flattening every stakeholder into a single answer.
Turn the conversation into a report with risks, follow-up tests, and the evidence that would make the plan safer.
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.