Jev 1.13 in Practice: I Tested a Decision Model Against Rules and a Local LLM
This story is from 2026-09-23. It is preserved in the archive; the latest stories are on the live feed.
Jev 1.13 got every category classification right in my held-out set: 1.0000 category accuracy . The same experiment measured 0.9857 priority accuracy and 0.9571 risk accuracy. Those are results on 70 synthetic tickets; they do not prove that Jev is superior in production. I decided to test Jev beca…
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- 2026-09-23 02:33 · DEV Community — Machine Learning
Jev 1.13 in Practice: I Tested a Decision Model Against Rules and a Local LLM