Post scoring with SuperX

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.

Reported performance

Cost: $0.0004

Limitations

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

Patterns