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Jevelin

nickproud/Jevelin

Unofficial C# client for TypeSafe AI's Jev decision model.

Infra / SDKs / Integrations0.92Runner-up: Evaluation & BenchmarkingQuestionnaire
Automated README summary

Automatically summarized from the README on 28 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Jevelin is a community .NET client that lets C# developers send a state and named questions to TypeSafe AI's Jev model and read back probabilities, chosen options, and scores.

How it uses Jev

Jev answers named questions over a string or JSON-serializable state: Noul gives yes probability, Choice picks one option with per-option probabilities, Score rates ordered levels. Jevelin sends these via AskAsync and exposes results as Choice, Confidence, Probabilities, Score, and Noul fields.

Primitives:choicescorenoul

Technique worth stealing

Wrap a probability-only decision model in typed question factories so callers read Choice, Score, and Noul fields instead of parsing free text.

Try it

dotnet add package Jevelin, set TYPESAFE_API_KEY, then call jev.AskAsync with a JevRequest.

View on GitHub

Start using Jev: API key and your first request →

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-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

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 material0.96
  • Shows a System One patternunclear0.59
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.02
  • Is a runnable toolFound in material0.98
  • Top-10 learning shortlist signalnot found in the excerpt0.15
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale1.01 / 2
  • About JevFound in material0.99
Signals
Jev is core to the project0.96Shows a System One pattern0.59Describes handling uncertainty0.04Reports measured numbers0.02Is a runnable tool0.98Top-10 learning shortlist signal0.15Is a replica of the model0.0300.51Solves a common problem (0–2)1.01 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.98Fail open, fail closed0.5900.51

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 28 Oct 2026.