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TypeSafe.Jev

Typed AI decisions for .NET: ask Jev (TypeSafe AI System One) yes/no, choice and score questions and get a C# enum with calibrated probabilities back.

How it uses Jev

Jev is TypeSafe AI's System One model. You hand it some state and a set of small typed questions, and it answers each one with a value, a probability distribution and a confidence score . No prompt engineering, no "please respond only with JSON", no stripping code fences off the reply.

Highlights

  • Your enum is the question. Declare the options once, get that enum back, and let the compiler find the
  • Confidence is a first-class number. Auto-approve above your threshold and route the rest to a human.
  • One dependency. Microsoft.Extensions.Logging.Abstractions , and nothing else. CI reads the packed
  • Trim- and Native AOT-safe. A native binary is published and run on every build to prove it.
  • Retries that match the official SDKs. 408/429/5xx, backoff with jitter, Retry-After , per-attempt
  • Logging and OpenTelemetry built in , through ILogger , ActivitySource and Meter — no extra packages.

Getting started

Questions are independent and answered in one round trip, so ask everything about a state together: the state is tokenized once, and you get one consistent read of the same text.

Languages
C# 95% · Shell 5%
License
MIT
Latest release
v0.1.0
Last activity
Sep 2026
Added
2026-09-22
Stars at snapshot
1
Status
Community listing
aiaotclassificationcsharpdecision-enginedotnet

Source: community catalog. Details and metrics reflect the published community snapshot and are not a performance endorsement. Documentation details extracted from GitHub · the README · the project website.

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