Automated README summary
Automatically summarized from the README on 16 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A Chrome extension that scores how well a job posting fits your resume before you apply. It reads the posting, sends it with your resume to a decision model, and shows a fit score, recommendation, and scorecard.
How it uses Jev
On icon click, it sends the job description and resume to Jev. One request asks nine typed questions: fit (Score 0-4), six scorecard dimensions (weak/moderate/strong), why (Choice), and visa sponsorship probability. The popup turns answers into a 1-10 score, recommendation, scorecard, strongest factor, and visa likelihood.
Primitives:choicescorenoul
Technique worth stealing
Calibrating a decision model's outputs against a reference rubric to produce a blended fit score.
Try it
Install from Chrome Web Store, add TypeSafe API key and resume, then click the extension icon on a job posting.
Model judgments from README excerpts
Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.
Models & evaluation dates
- Inclusion gate
jev-1.13.0- Project signals
jev-1.13.0- Category
jev-1.13.0- Pattern tags
jev-1.13.0
Evidence
These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.
- Jev is core to the projectnot found in the excerpt0.21
- Shows a System One patternnot found in the excerpt0.22
- Describes handling uncertaintynot found in the excerpt0.03
- Reports measured numbersFound in material0.89
- Is a runnable toolFound in material0.96
- Top-10 learning shortlist signalnot found in the excerpt0.08
- Is a replica of the modelnot found in the excerpt0.27
- Solves a common problem (0–2)score on a 0–2 scale1.02 / 2
- About JevFound in material0.96
no-judgment band (0.40–0.60)
no-judgment band (0.40–0.60)
The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 16 Oct 2026.