How uncertain is it?
Use model confidence cautiously. Calibration can vary by task, population and changing data.
Free interaction-design tool
What should uncertain AI do next?
Confidence is not truth. Use this tester to explore how evidence and consequence should change an interface’s answer, clarification and human-handoff thresholds.
Beyond the number
Good fallback design combines three questions
What supports it?
A sourced answer is more inspectable, but the source can still be wrong, stale or irrelevant.
What happens if wrong?
The acceptable threshold should rise as consequences become harder to reverse.
Build the complete interaction
Learn the Python behind thresholds, retrieval, safety routing and human oversight while building your own AI UX assistant.