TypeSafe's Jev AI Model in .NET: A Community SDK for Structured AI Output in C#
Most AI tooling I've used in the last couple of years follows the same pattern. You send a prompt, get back text, and then write brittle code to turn that text into something your app can actually use. JSON mode helps. Function calling helps more. Even then, you are still asking a model trained to write for people to produce machine-readable output, and hoping it doesn't wrap the JSON in a markdown fence, drop a field, or invent a category that is not in your enum.
Two days ago I found TypeSafe and its model, Jev. It takes a different approach. Instead of generating text, it evaluates typed questions against a piece of input and returns structured, typed decisions. No parsing. No "please respond only with valid JSON." I liked the idea enough that I had GitHub Copilot with HydraFusion port TypeSafe's official TypeScript SDK to .NET 11 and C# 15. This post is part introduction to the model and part walkthrough of the ported TypeSafe .NET SDK, so you can try it in C# yourself.



