How it works
From a scenario to a prediction, in four steps.
MiroFish is a prediction tool, not an oracle. It doesn't tell you what will happen — it predicts what's likely to happen, shows its work, and leaves the decision to you.
You describe the scenario
Type the situation in plain English — the decision you're weighing, the event you're watching, the what-if you can't stop turning over. Numbers help, but a few sentences is enough to start. If MiroFish needs more to predict well, it asks before guessing.
It states what it's predicting from
Before predicting anything, MiroFish writes down the assumptions it has to make about your scenario. This is the part most tools hide. Seeing the assumptions lets you catch a wrong one early — and changing it re-runs the prediction.
It predicts the likely outcomes
Instead of collapsing everything into one answer, MiroFish runs your scenario forward along several plausible paths — the likely case, the upside, the way it goes wrong — and returns each as a weighted outcome with a short explanation of how it unfolds.
It names the deciding factor and a signal to watch
The prediction ends by flagging the single variable the outcome is most sensitive to, plus an observable signal in the next 30–90 days that tells you which outcome you're actually heading toward. That's the part you act on.
Why a prediction beats a guess
A guess is a single number with the uncertainty hidden inside it. A prediction is a spread of outcomes with the uncertainty made visible. Once you can see the likely case sitting next to the way things go wrong, your attention goes straight to the gap between them — and the thing that flips one into the other is almost always more useful than the headline number.
Want the longer version? The blog walks through how AI scenario prediction actually works and why some predictions are more reliable than others.
See it on your own scenario
Describe your scenario and MiroFish predicts the likely outcomes — with probabilities and the reasoning behind each one.