Automated README summary
Automatically summarized from the README on 7 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A Python and TypeScript SDK plus Agent Skill for TypeSafe AI's Jev non-autoregressive decision model, letting developers and autonomous agents make fast typed classifications, booleans, and guardrails instead of slow conversational LLM calls.
How it uses Jev
Jev makes typed decisions such as intent classification, boolean guardrails, and quantitative scores. The README shows code using decision.results["intent"].confidence to gate routing to a human or System 2 LLM, and a TypeScript guardrail example rejecting suspicious payloads, but does not fully specify the state inputs.
Primitives:choicenoulscore
Technique worth stealing
Use calibrated confidence thresholds to route between fast System 1 decisions and slower System 2 LLMs.
Try it
pip install jev-system-one or npm install jev-system-one, then set TYPESAFE_API_KEY or OPENROUTER_API_KEY.
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 material0.88
- Shows a System One patternnot found in the excerpt0.21
- Describes handling uncertaintynot found in the excerpt0.06
- Reports measured numbersnot found in the excerpt0.18
- Is a runnable toolFound in material0.87
- Top-10 learning shortlist signalnot found in the excerpt0.39
- Is a replica of the modelnot found in the excerpt0.11
- Solves a common problem (0–2)score on a 0–2 scale1.63 / 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 7 Oct 2026.