Automated README summary
Automatically summarized from the README on 4 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A Python-based question and answer prediction and suggestion system for developers and researchers. It evaluates candidate answers, scores quality, and validates soundness using TypeSafe AI's Jev Model, with a web dashboard and CLI.
How it uses Jev
Jev evaluates a question and candidate answers against context evidence. The Choice primitive selects the optimal answer and returns calibrated probabilities. Score rates reliability, relevance, and certainty. Noul validates soundness as a calibrated boolean probability. Results are used in the engine and displayed in the dashboard/CLI.
Primitives:choicescorenoul
Technique worth stealing
Parallel question evaluation with deterministic schemas for low-latency decisions.
Try it
pip install -r requirements.txt; python app.py or python cli.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 material0.87
- Shows a System One patternunclear0.54
- Describes handling uncertaintynot found in the excerpt0.06
- Reports measured numbersFound in material0.92
- Is a runnable toolunclear0.55
- Top-10 learning shortlist signalnot found in the excerpt0.27
- Is a replica of the modelunclear0.55
- Solves a common problem (0–2)score on a 0–2 scale1.05 / 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 4 Oct 2026.