DEMO / RECORDING
Overview & Result
JEV is INSANE. We gave it 700 high-intent leads and personalised outreach messages. In 40 seconds, it predicted how each message would perform, assigned a confidence score and detected lead-message mismatches. All for just $0.09. JEV can also score leads, analyse buying signals, match each prospect with the best message and identify the campaigns most likely to perform based on data. Coming soon to @GojiberryAI+ MCP. Comment “JEV” for early access.
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.