CHOOSEBusiness workflows
Jev Model for Help Center Classification
This project implements the Jev model for real-time help center classification, analyzing user questions to identify the most relevant support article.
Pattern↑ Jev AI decision models
We implemented the new @typesafeai Jev model to Luo and I tested it with a help center classification use case.
User types in their question or issue and in realtime the system analyses what the message is about and which help center article fits best, if any of them.
I compared speed and cost to using Haiku 4.5, Anthropic's cheapest and fastest model.
Using Jev is 2-4x faster and ~25x cheaper.