DEMO / RECORDING
From the original post
Jev is INSANE. 🤯
in 24.9 seconds it read 384 news from this morning and told 15 brands which stories to hop onto today, for $0.19.
Claude Opus 5, running on the same feed at the same time, got through 4/384 and cost $0.77.
per headline that is ~390x cheaper, and the answer comes back before you finish reading the headline yourself.
there's going to be so many ways for JEV to help you find trending stories, find journalists covering it, and get press coverage.
everything in the video open-sourced here: http://newsjack.sh (in the demo/ folder, together with 30+ skills to turn your agent into a PR team)
How Jev fits in the loop
- Agent collects runtime context or input state from external sources.
- Bounded decision options are formatted into Jev System One questions.
- Jev scores each candidate option and returns a probability for it.
- Deterministic code executes the selected action or routes to specialized models.
How to reproduce
- Read the author's original post on X at https://x.com/elvissun/status/2100951347080421409.
- Inspect the described workflow architecture and bounded decision points.
- Test Jev System One decision queries against the provided task context.
Why this build matters
Demonstrates real-world Jev Skills experimentation by @elvissun with verified community reach of 656.0k views.
Limitations
- Implementation details are based on the author's public post on X.
- Performance figures and benchmarks are author-reported community claims.
- Production deployments may require custom calibration and policy thresholds.