89 curated builds·evidence labeled
COMMUNITY OBSERVED

Triage across 1,500 emails

this model is actually insane at email classification

Overview & Result

this model is actually insane at email classification i tested it on 1500 of my own emails to see how well it works and I am blown away

How Jev fits in the loop

  1. Extract observation from agent environment.
  2. Jev evaluates state and outputs typed choice or probability.
  3. Agent runtime carries out selected action.

How to reproduce

  1. Inspect author post and reproduction notes.
  2. Deploy agent loop and bind Jev decision endpoints.
  3. Run test inputs and observe latency and accuracy.

Why this build matters

Demonstrates practical production-level utility of Jev inside specialized agent workflows.

Limitations

  • Community observed build; metrics are author-reported.
  • Requires third-party dependencies as described in source.

Patterns