Automated README summary
Automatically summarized from the README on 27 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A macOS client that reads a single WeChat conversation read-only, anonymizes text, and analyzes it locally and with the official TypeSafe Jev API, storing results in SQLite and the API key in Keychain.
How it uses Jev
After the user confirms sending anonymized segments, the app sends each segment to the official SystemOne endpoint. Jev returns 5 Score and 15 Choice answers per segment (v4: 12 behavior Choices plus 10 support/counter-evidence), which the app combines locally into 0–100 indices.
Primitives:choicescore
Technique worth stealing
Anonymize text before sending, show a preview for user confirmation, and keep Jev's confidence per segment while combining scores with local transparent rules.
Try it
npm ci && npm run build:keychain && npm start (Node.js 22+, Apple Silicon, macOS 14+).
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-1.14.0- Project signals
jev-1.14.0- Category
jev-1.14.0- Pattern tags
jev-1.14.0
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 excerpt0.09
- Shows a System One patternnot found in the excerpt0.07
- Describes handling uncertaintynot found in the excerpt0.23
- Reports measured numbersnot found in the excerpt0.03
- Is a runnable toolFound in material0.99
- Top-10 learning shortlist signalnot found in the excerpt0.09
- Is a replica of the modelnot found in the excerpt0.03
- Solves a common problem (0–2)score on a 0–2 scale0.94 / 2
- About JevFound in material0.99
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 Oct 2026.