Automated README summary
Automatically summarized from the README on 14 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A Rust command-line tool that lets LLM agents ask Jev, TypeSafe AI's System One model, typed questions before acting. It returns calibrated probabilities instead of prose, so agents can gate on thresholds or choose among options in one shell call.
How it uses Jev
The agent passes a state plus a typed question. `predict` returns a probability for a yes/no outcome, `choose` picks the best of several named options, and `score` returns a probability-weighted score over rubric levels. Results print as JSON on stdout and can gate via `--threshold` or `--min-confidence`.
Primitives:choicescorenoul
Technique worth stealing
Strict CLI contract: stdout carries only the answer, diagnostics go to stderr, and exit codes signal gate pass/fail versus errors.
Try it
cargo install --git https://github.com/portlandhodl/jev-cli, then set TYPESAFE_API_KEY in ~/.jevcli/jev.conf.
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 material0.95
- Shows a System One patternFound in material0.75
- Describes handling uncertaintynot found in the excerpt0.35
- Reports measured numbersnot found in the excerpt0.23
- Is a runnable toolFound in material0.96
- Top-10 learning shortlist signalunclear0.52
- Is a replica of the modelnot found in the excerpt0.04
- Solves a common problem (0–2)score on a 0–2 scale1.10 / 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 14 Oct 2026.