Automated README summary
Automatically summarized from the README on 21 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A Chrome MV3 extension for X (Twitter) users that adds a small badge to visible posts and replies showing an estimated probability the text was AI-written, plus Mute/Block buttons on replies that act only on click.
How it uses Jev
For each post or reply, the extension sends only the text as `state` to TypeSafe Jev with one `noul` question asking whether the wording was predominantly AI-generated. The returned probability becomes the badge percentage, colored red at >=70, orange at >=31, otherwise gray.
Primitives:noul
Technique worth stealing
Send only the text as state and ask a single typed noul question, using the returned probability directly as the displayed score.
Try it
Load the unpacked folder in chrome://extensions, set provider and key in Options, then open x.com/home.
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 excerpt0.31
- Shows a System One patternnot found in the excerpt0.20
- Describes handling uncertaintynot found in the excerpt0.36
- Reports measured numbersnot found in the excerpt0.07
- Is a runnable toolFound in material0.98
- Top-10 learning shortlist signalnot found in the excerpt0.18
- Is a replica of the modelnot found in the excerpt0.03
- Solves a common problem (0–2)score on a 0–2 scale1.14 / 2
- About JevFound in material0.98
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 21 Oct 2026.