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JevMade field notes / Evaluation guide

How to balance AI sorting mistakes and human review work

You will learn how to test an AI tool that chooses between options. The guide explains how to set rules that balance the number of automatic mistakes against the amount of work sent to human reviewers.

Original by VercelEvaluation

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Credits

“Evaluate Jev’s probabilities and choose a threshold” by Vercel. Read the original source.

This expanded guide is an AI-narrated adaptation prepared by JevMade. It expands the source’s essential ideas, examples and caveats in JevMade’s own words and is not a word-for-word reading. The synthetic voice does not imitate the author or imply their endorsement.

Our summary

This guide explains how to test Jev, an AI tool that chooses from options rather than writing an answer. People use it to sort incoming documents or flag messages. Setting a cutoff rule helps decide when the software should act automatically and when a person needs to check it.

The software estimates how likely each choice is. You test different cutoff numbers using examples you already know the answers to. A higher cutoff means the software makes fewer mistakes, but it also sends more uncertain cases to human workers for a manual review.

This is useful for teams building automatic sorting systems. You must test the software with your own real examples to find the right balance, and you cannot treat a grading score as a guarantee of success.

Key takeaways

  1. Measure mistakes only among the cases the software actually sorts automatically.
  2. Keep some tested examples separate to do a final check on your rules.
  3. Do not treat a converted grading score as a percentage chance of success.

The table showing a cutoff test with one thousand documents is a hypothetical example, not a measured result.

Vercel explainer · Source reviewed

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