Tested Jev vs GPT-5.6 for predicting my taste in books.

@venturetwins Justine Moore · Sep 19, 2026 · case #115437 · listed via Jev Hub

Predicted book ratings from 1,000 Goodreads ratings with Jev, which was slightly more accurate, 53x cheaper, and 25x faster than GPT-5.6.

The original post

Tested Jev vs GPT-5.6 for predicting my taste in books. I used my 1,000 Goodreads ratings as starting data and held out 100 to test. Then I asked both models to guess which would be 5 stars. Jev was slightly more accurate, 53x cheaper, and 25x faster 🤯

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Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.

Where this case fits

Filed under coding & developer tools, classification & data extraction. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the coding & developer tools page.

🛠️ Coding & developer tools 🗂️ Classification & data extraction