Automated README summary
Automatically summarized from the README on 9 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
Jev Lab is a local Python app that lets you chat with Jev, TypeSafe's decision model. You write the replies Jev could give; Jev reads the conversation and chooses, showing its choice, probabilities, and what it perceived.
How it uses Jev
Each turn, Jev receives the conversation, a profile, relevant memories, tool results, and your candidate replies. It returns a probability for each reply, or 'None of these'. The app shows its choice, the full distribution, and probes like intent and tone.
Primitives:choicescorenoul
Technique worth stealing
Offer candidate replies and let the model choose, exposing the full probability distribution.
Try it
git clone https://github.com/mrc-experiments/jev-lab.git && cd jev-lab && python run.py
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 material0.89
- Shows a System One patternunclear0.46
- Describes handling uncertaintynot found in the excerpt0.10
- Reports measured numbersnot found in the excerpt0.04
- Is a runnable toolnot found in the excerpt0.22
- Top-10 learning shortlist signalnot found in the excerpt0.37
- Is a replica of the modelnot found in the excerpt0.14
- Solves a common problem (0–2)score on a 0–2 scale0.26 / 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 9 Oct 2026.