DEMO / RECORDING
Overview & Result
JEV is changes the world of E2E testing! Same eBay test flow, completed-run medians: Jev: 47s / $0.0067 GPT-5.6 Luna: 62s / $0.0277 Claude Sonnet 5: 79s / $0.4062 Try jev-e2e. github.com/perixtar/jev-e…
How Jev fits in the loop
- Extract observation from agent environment.
- Jev evaluates state and outputs typed choice or probability.
- Agent runtime carries out selected action.
How to reproduce
- Inspect author post and reproduction notes.
- Deploy agent loop and bind Jev decision endpoints.
- 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.