From the original post
Your agent doesn't need a bigger model.
It needs faster decisions.
Jev + Hermes: routing, memory, skill picking, GUI clicks. ~0.4s, fractions of a cent.
https://github.com/kerpopule/hermes-jev-skills
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/StevenDarlow/status/2101526148228227519.
- 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 @StevenDarlow with verified community reach of 52.5k 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.