DEMO / RECORDING
From the original post
JEV CUT THE PRICE OF SEO/GEO FIXES BY 90%
Agents that audit and fix a client’s SEO/GEO used to cost us about $250.
Where the savings come from:
→ 30x faster reads of Search Console and PostHog/Mixpanel data
→ 30x faster checks of what ChatGPT searches on Bing
→ 30x faster https://t.co/ooaAkj2x3Y
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/hityyhz/status/2101383627963838899.
- 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 for SEO experimentation by @hityyhz with verified community reach of 13.3k 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.