Full Jev Tutorial What it is, how you can build with it and what new applications it can unlock → 0:00 Intro → 0:34 Jev explained → 4:06 API setup → 5:59 Demo 1: Voice-controlled browser → 11:33 Demo 2: AI memory → 17:27 Demo 3: YouTube predictor
TypeSafeAI (tryAGI .NET SDK)
A NativeAOT-ready .NET SDK generated from TypeSafe's OpenAPI definition, with typed question sets, batching, dependency injection, and Microsoft.Extensions.AI integrations.
- Category
- Repos & SDKs
- Published by
- Community
- Author
- tryAGI
- Added
- 2026-09-22
Tagscommunitysdkcsharpdotnet
Highlights
- The raw transport is regenerated from the official OpenAPI definition, while typed questions and MEAI wiring are handwritten extensions.
- Structured state is sent without reflection, so the SDK works under NativeAOT and with source-generated serialization.
- One of more than 200 .NET SDKs maintained with AutoSDK, with a continuous audit of regeneration, trimming, and public API visibility.
- The generated RawTypeSafeClient stays public for direct OpenAPI-level access when the typed layer is too narrow.
Quickstart
csharp
using TypeSafeAI;
using var client = new TypeSafeClient(apiKey);
var questions = new QuestionSet();
var billing = questions.AddNoul("billing", new NoulQuestion("Is this about billing?"));
var urgency = questions.AddScore("urgency", ScoreQuestion.FromValues(
["Can wait", "This week", "Today"], "How urgent is it?"));
var result = await client.SystemOneAsync("I was charged twice. Please help today.", questions);Watch out
MIT-licensed. Community SDK from tryAGI, not affiliated with TypeSafe; reads TYPESAFE_API_KEY from the environment.
More like this
5GitHub stars
Community .NET SDK for the System One API: typed noul, choice, and score questions with structured, confidence-scored answers.
Repos & SDKs#community#sdk#csharp
Communitytypesafeai-dotnet-sdk
2GitHub stars
.NET SDK for the System One API with typed question sets, HttpClientFactory and dependency-injection wiring, plus Microsoft.Extensions.AI guardrail, routing, tool, and evaluator adapters.
Repos & SDKs#community#sdk#csharp
CommunityTypeSafeAI.Net
From the community
Posts from builders shipping with Jev right now.
Full Jev video tutorial
The case against Jev-scored compaction
This is a terrible compaction strategy that fundamentally doesn't understand how compaction and context management work. Seems like a lot of people are confused so let's break this down. 1. Compaction isn't a filter The role of compaction is to clean up history to keep the Show more
found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant
Classifying rows in DuckDB
I made a DuckDB extension where you can use @typesafeai 's Jev to do quick classification of rows in any csv/parquet file or duckdb table about 10sec for 1k rows ~ better than using an LLM, way more ergonomic than a classifier game-changing for data analysis!
A playable 16-judgment demo
typesafe's jev is fun! live demo you can play with: typesafe-demo.val.run
AI multiple choice, not essay writing
WTF is Jev by @typesafeai? Here’s the tl;dr ELI5: Think AI multiple choice, not AI essay writing. It doesn’t chat. It makes decisions your software can act on: “Spam or not?” “Which tool should this agent use?” “Does this need a human?” The exciting part: roughly 200x faster Show more
Screening agent actions with Jev
Tested TypeSafe’s Jev (no-text, probability-only model) as an AI agent safety monitor. Checking each action first worked well caught most attacks with almost no false blocks, and much faster than Gemini.
@CompleteSkeptic
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x