JevMade hello@JevMade.com
← Back to guides

JevMade field notes / Confidence and threshold guide

Use confidence without treating it as certainty

This guide separates which answer Jev favours from whether a program should act. It uses tested cutoffs and review routes rather than treating confidence as certainty.

Original by TypeSafe ai editorialEvaluation

Listen to this guide

JevMade’s plain-English explanation

Expanded guide unavailable: the complete source text could not be retrieved.

0:00 /

AI narration

Our summary

Jev's probabilities estimate how likely the possible answers are. For choices and ratings, confidence summarizes how clearly one answer stands out. This guide separates those estimates from a different question: should the program act? None of the numbers proves that a particular judgment is correct.

Give uncertain or unsupported items a route to review. Test possible cutoffs on examples not used to tune them. Compare how much work bypasses people, how often that automatic work is wrong, whether reviewers can handle the remainder, and the total cost and delay.

No cutoff is safe for every task. Suggesting a folder and changing an account have different consequences, while new kinds of input can weaken old settings. Watch cases near the boundary and retest when the model, categories, information, costs, or action rules change.

Key takeaways

  1. Treat estimates as evidence for an action rule, not permission to act.
  2. Test cutoffs on examples that were not used to choose them.
  3. Track automatic mistakes, review workload, cost, and delay together.

The publication offers independent workflow advice from a text extraction whose completeness is unverified. It does not claim one cutoff is safe for every task.

Independent tutorial site · Source reviewed

Read the original guide Opens the author’s site in a new tab.