JevMade field notes / Calibration procedure

A guide to testing an AI tool that chooses from options

Learn how to test an AI tool that picks from options. This guide explains how to use practice examples to improve the instructions you give the software, ensuring it makes reliable choices on real tasks.

Original by smkrvEvaluation

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Credits and license

“jev-calibrate” by smkrv. Read the original source.

This expanded guide is an AI-narrated adaptation of the source’s essential explanation, examples and caveats, not a word-for-word reading. The synthetic voice does not imitate the author or imply their endorsement.

License: MIT

MIT License

Copyright (c) 2026 SMKRV

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Our summary

This project helps you test Jev, an AI tool that chooses from options rather than writing an answer. People use it to see if the software can reliably sort information, like figuring out which department should handle a customer message, before relying on it for real work.

You provide a set of practice examples with the correct answers already marked. The software asks the AI the same questions multiple times to see if it changes its mind. You can then adjust your instructions based on the mistakes it makes during these practice rounds.

This method is useful for anyone organizing incoming messages. To keep the final test fair, the system records which examples you have already used. The guide warns that the short codes used for this record might accidentally reveal private information if someone guesses the original text.

Key takeaways

Check your instructions against practice examples before paying for the AI to process real tasks.
Ask the AI the same question several times to see if its answers remain consistent.
Keep your final test examples separate so you do not accidentally design instructions just to pass them.

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