Automated README summary
Automatically summarized from the README on 3 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A command-line tool for developers and AI agents to ask TypeSafe Jev questions about a passage and get back probabilities, labels, and scores. It validates question sets offline before spending on API calls.
How it uses Jev
Jev answers typed questions (noul, choice, score) about a state passage. The CLI sends the question set and state, then prints parsed JSON answers with confidence values to stdout. Lint runs automatically; errors block the call, warnings proceed.
Primitives:choicescorenoul
Technique worth stealing
Offline linting catches billed-but-useless questions before any API call, since criteria text is the prompt, not documentation.
Try it
curl -fsSL https://raw.githubusercontent.com/ariel-frischer/jevkit/main/install.sh | sh
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 material0.96
- Shows a System One patternFound in material0.78
- Describes handling uncertaintynot found in the excerpt0.06
- Reports measured numbersnot found in the excerpt0.07
- Is a runnable toolFound in material0.98
- Top-10 learning shortlist signalunclear0.52
- Is a replica of the modelnot found in the excerpt0.03
- Solves a common problem (0–2)score on a 0–2 scale1.00 / 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 3 Oct 2026.