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 local Windows tool that displays floating MBTI tags next to each member's name in a Feishu/Lark group chat, using message history to probabilistically classify the four MBTI dimensions.
How it uses Jev
Jev's Choice primitive classifies each member's recent messages (up to 200 messages, 40,000 characters) across the four MBTI dimensions (E/I, S/N, T/F, J/P) and compares 16 types. The resulting probabilities are rendered as overlay labels (e.g., 'ENTJ 68%') next to speaker names via Windows UI Automation.
Primitives:choice
Technique worth stealing
Using a local Jev relay or direct TypeSafe API to run multi-axis probabilistic classification on chat history, then overlaying results with scroll-tracking UI Automation.
Try it
Run install.ps1, configure Jev via JEV_BASE_URL or TYPESAFE_API_KEY, then launch with python -m feishu_mbti.app.
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 projectFound in material0.78
- Shows a System One patternnot found in the excerpt0.35
- Describes handling uncertaintynot found in the excerpt0.04
- Reports measured numbersnot found in the excerpt0.13
- Is a runnable toolFound in material0.94
- Top-10 learning shortlist signalnot found in the excerpt0.22
- Is a replica of the modelnot found in the excerpt0.03
- Solves a common problem (0–2)score on a 0–2 scale0.32 / 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.