Our summary
When Jev chooses from a list or rates something, it gives each possible answer a probability: an estimate of its likelihood. Confidence summarizes how those estimates are spread. It is higher when one answer stands out and lower when several are close together.
A program can use that number to choose among acting, checking again, and stopping for help. Where it draws the lines should depend on the task. A costly or irreversible action needs more caution than a suggestion someone can easily ignore or change.
A confident answer can still be wrong. Test the decision rules on examples with known answers, and keep ordinary permission checks in place. For a yes-or-no Noul question, Jev returns just the likelihood of yes; a separate confidence number would not add another outcome.
Key takeaways
- Confidence describes how clearly an answer leads, not whether it is true.
- Use more cautious action rules when mistakes are costly.
- Check performance on your own examples before relying on a cutoff.