What people are shipping with Jev.

2 days ago ... TypeSafe's Jev is a new class of AI model, a System One Model, that returns typed decisions with calibrated probabilities instead of text, running 40-200x ...

3 days ago ... Jev, TypeSafe claims, is well-suited for AI automation software, real-time applications that need quick decisions, AI map reduce jobs for classifying large ...

3 days ago ... TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software.

3 days ago ... With TypeSafe it just picks the class (actually probabilities across ... Using Jev I'd decompose the prompt into a bunch of smaller questions, then I ...

16 hours ago ... Using Jev from Node.js. The JavaScript SDK is @typesafe-ai/sdk . It needs Node.js 20 or newer and ships ESM, CommonJS and TypeScript types. npm install ...

1 day ago ...

Apply OS — Personal career decision engine powered by TypeSafe AI (Jev).

JevNoiseGate filters unwanted notifications and SMS on Android.

@fernandoeeu_dev @typesafeai A gente tinha isso determinístico antes. Mas errava muito. Aí a gente aumentou o limite do determinístico pra trazer uns 20 itens e o jev tá decidindo

shipped: jev by @typesafeai now gates tryeve's builds.

got early access to @TypeSafeAI (Jev). in my last post on autoresearch vs dream-rsi, the quiet bottleneck was: how do you score 28+ dreamt tree branches offline without waiting mi

Found the perfect use case for @typesafeai Jev: instant compaction in 2026. Why is compaction still a summarization prompt? Jev scores every tool call and drops what’s irrelevant—m

@ThisisMarkT @typesafeai Yes, as a filter or reranker rather than the generator: retrieve wide, ask Jev per chunk "does this answer the question", keep only the high-probability on

I think @typesafeai Jev has solved a much bigger AI problem than it first appears: LLMs shouldn’t have to think about everything. A huge amount of “reasoning” is actually classif

@alexatallah @typesafeai low-entropy routing only pays if the classifier is cheaper than sending the PR review to the frontier model. are you actually splitting those three buckets

Got access to jev by @typesafeai so wanted to test it out asap. At @parsewise we run topic relevance checks as a filtering step on our data processing pipeline. A task that is pr

I am going to build for companies who have lot of candidates to evaluate based on resume I am using the coolest model JEV by @typesafeai to analyse all of them and find the rig

@chaturvedikun @typesafeai bfs for shortest path then jev on spatial metrics is a clean handoff. decision models belong on the branch not the path search same split i used for offl

La rapidité pour les recherches web en intégrant jev de @typesafeai est incroyable 🚀 Quelques secondes pour des dizaines de recherches sur @okazfr. Et ce n'est que le début... ht

@ethereaglehq @o_kwasniewski @typesafeai both are valid, different layers. Jev is System One: Choice/Score/Noul over state, not a browser driver. so "slot in as pass/fail (or sever