What it is
jevmlx turns a schema of fields (booleans, enums, multi-selects) and a context string into a single batched forward pass on a local Apple Silicon model, returning schema-valid JSON with per-field probabilities.
How it uses Jev
For each schema field, jevmlx scores every allowed option from logits in one prefill, applies a restricted softmax, and assembles the JSON from the winners. The result is a Decision with per-field FieldResult (value, probability, alternatives, margin, ordinal telemetry).
Primitives:choicescore
Technique worth stealing
Restricted softmax over known options in one forward pass, avoiding token-by-token generation.
Try it
git clone https://github.com/bnsd55/jevmlx && cd jevmlx && ./setup.sh; jevmlx decide --preset support_triage --json
Evidence
Each line is one question put to Jev about the README. ≥ 0.60 reads as yes, ≤ 0.40 as no; in between Jev is not making a call.
- Jev-centricyes0.77
- Shows a System One patternyes0.75
- Handles uncertaintyno0.06
- Measuredno0.05
- Runnableyes0.97
- Worth recommendingunclear0.44
- Model replicayes0.82
- Problem scopescore on a 0–2 scale1.12
- About Jevyes0.62
Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 20 Sept 2026.