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
Jimothy turns Jev usage into task-specific classifiers. It trains small local models from saved or teacher-generated examples and runs inference in the browser or Node.js, aimed at developers who want fast offline classification.
How it uses Jev
Jev acts as an optional teacher: with input-only data and --teacher typesafe-ai/jev, Jimothy sends each state to Jev, caches the typed answers in .teacher/, then trains a local classifier on those answers. Jev is not used at inference time.
Primitives:choicescorenoul
Technique worth stealing
Distill a teacher model's typed answers into a tiny local classifier, then calibrate probabilities and recommend a cutoff.
Try it
npm install jimothy, then npx jimothy train with the included examples and npx jimothy predict.
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 projectunclear0.56
- Shows a System One patternnot found in the excerpt0.09
- Describes handling uncertaintynot found in the excerpt0.03
- Reports measured numbersnot found in the excerpt0.04
- Is a runnable toolFound in material0.96
- Top-10 learning shortlist signalnot found in the excerpt0.23
- Is a replica of the modelFound in material0.81
- Solves a common problem (0–2)score on a 0–2 scale1.07 / 2
- About JevFound in material0.92
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.