Automated README summary
Automatically summarized from the README on 17 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
MIT TypeScript client that runs the Jev-compatible Laya model locally through ONNX Runtime, letting Node.js developers get calibrated probabilities for choice, score, and yes/no questions on a state without Python.
How it uses Jev
Laya is the Jev-compatible model itself. systemOne takes a state plus typed questions (choice, score, noul) and returns calibrated probabilities in one forward pass; answers are typed per question, and answer_confidence gives max(p) for gating.
Primitives:choicescorenoul
Technique worth stealing
Batch all questions of one call into a single ONNX forward pass and use answer_confidence (max probability) as the uniform gating quantity across question types.
Try it
npm install @receptron/laya, then call Laya.load() and laya.systemOne(state, questions); first load downloads ~1.7 GB weights.
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 material0.92
- Shows a System One patternFound in material0.82
- Describes handling uncertaintynot found in the excerpt0.04
- Reports measured numbersnot found in the excerpt0.11
- Is a runnable toolFound in material0.97
- Top-10 learning shortlist signalnot found in the excerpt0.26
- Is a replica of the modelFound in material0.80
- Solves a common problem (0–2)score on a 0–2 scale1.07 / 2
- About JevFound in material0.95
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 17 Oct 2026.