DEMO / RECORDING
From the original post
Jev just killed 90% of my seo/geo costs. this is insane.
one agent run that audits and fixes a client's seo/geo used to cost us ~$250.
now it's ~$25. same output.
not a better prompt. not a new workflow. not a cheaper freelancer.
just 30x faster on the boring parts:
→ reading search console + posthog/mixpanel
→ checking what chatgpt actually searches on bing
→ modeling what users ask gemini and claude
→ scanning who chatgpt and claude cite
→ digging into the sources behind those citations
→ the gap: why they get cited and we don't
→ fixing 1,000s of pages on big client sites
→ sorting which page types chatgpt picks
insaneeee
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/HamonPaulm/status/2101265909826609278.
- 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 @HamonPaulm with verified community reach of 73.0k 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.