Automated README summary
Automatically summarized from the README on 27 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
Jev-Gram is content moderation for user-generated content that shows exactly which words and phrases break your policy. It has four strictness levels and an AI-prose heatmap mode, built for moderators of communities from kids' apps to adult forums.
How it uses Jev
Jev judges each paragraph and sentence: Score severity 0-4, and Choice over 2-4-grams to pick the offensive phrase. Stage 2 scores individual words and chosen phrases. The policy then maps severity to p(violation) and a verdict (allow/review/block) at the chosen strictness.
Primitives:choicescorenoul
Technique worth stealing
One Choice per sentence makes phrases compete, so the culprit gets the probability instead of the sentence's rudeness leaking into every phrase.
Try it
npm install; echo "TYPESAFE_API_KEY=..." > .env; npm start
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 projectFound in material0.74
- Shows a System One patternnot found in the excerpt0.17
- Describes handling uncertaintynot found in the excerpt0.12
- Reports measured numbersnot found in the excerpt0.06
- Is a runnable toolFound in material0.62
- Top-10 learning shortlist signalnot found in the excerpt0.36
- Is a replica of the modelnot found in the excerpt0.12
- Solves a common problem (0–2)score on a 0–2 scale1.98 / 2
- About JevFound in material0.97
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 27 Sept 2026.