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Jev Linkmap

A dependency-free Python pipeline that rebuilds a site's internal link map with Jev: code picks candidate targets and in-copy anchor phrases, Jev judges them, and only links that clear the threshold are placed.
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22
Language
HTML
Reading time
3 min
Published by
Community
Author
stas4000
Last verified
Oct 2026

stas4000/jev-linkmap

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Rebuild a site's internal link map in seconds with Jev, race Claude Opus 5 on the same queue, and let a deep model rewrite the rubric from the disagreements.

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0
Last pushed
Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.Homepage

Highlights

  • One request per page carries the copy once and asks 30 questions: a yes/no link probability and an anchor choice for each of 15 candidate targets.
  • In the recorded run: 566 pages and 8,460 decisions in 5.95 seconds at $0.27 total, versus about $67 for Claude Opus 5 on the same queue.
  • Anchors are phrases already in the author's copy, text that is already a link is never offered, and at most 3 new links land per page.
  • System 2 has a deep model referee disagreements and rewrite the rubric; two passes moved anchor agreement from 71% to 88% for $15.51 once.
  • A verify pass reads only placed links, 20 per call, and keeps or cuts each; on the site run it read 679 links and kept 287.

Quickstart

bash
export JEV_API_KEY=sk-or-...
python3 -m jev_linkmap.site https://your-site.com/sitemap.xml --mode system1

Watch out

Copy reviewed against the repo README and its run files on 2026-10-15. The cost race covers one site on one date, and the System 2 referee is described as a strong reader rather than ground truth. The GitHub manifest shows NOASSERTION for the license.

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