Gateways let teams call Jev through infrastructure they already use. TypeSafe announced Jev on the Vercel AI Gateway, whose model page lists evaluation-type pricing at $0.042 per 1M input tokens with no output charge and a hosted playground.
Community gateways and routers extend the same idea — OpenRouter listings, Cloudflare gateway experiments, and model routers that hand a narrow decision to Jev instead of a frontier model.
An Apache-licensed System One decision server that reads Choice, Score, and Noul probabilities from DiffusionGemma 26B-A4B through vLLM on NVIDIA or MLX on Apple silicon, so TypeSafe SDKs work unchanged.
A server that implements the TypeSafe/Jev HTTP API with Qwen3.6-35B-A3B on SGLang 0.5.19, deployed on Modal with radix caching and breakable prefill CUDA graphs, plus a separate FastAPI process.
An OpenAI-compatible LiteLLM proxy where clients send one model id and Jev picks which configured model serves each request, with capability filtering and a cheapest-eligible fallback.
This is actually insane. This uses @typesafeai Jev model, as a plugin in Claude to review all the un-nesseasary tool calls, and it takes 1s to run!
Like, literally, 1 second to take my Claude session from nearly 1M to ... 86K tokens! 😮
Ask your claude to install it and be Show more
tamara
@tamarajtran
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
We're seeing extraordinary results from @typesafeai. Default mode in 𝚏𝚡 is auto, with a safety reviewer analyzing every command.
That reviewer runs on GPT Luna today. Jev is up to 18x faster (p95) *and* more accurate. It's coming to @vercel AI Gateway and likely new default.
Pranit
@fazxes
We benchmarked fx auto mode (safety) classifier with @typesafeai's Jev.
tl;dr: ~5-18x faster and more accurate than 𝚐𝚙𝚝-𝟻.𝟼-𝚕𝚞𝚗𝚊, our current top choice
Jev by @typesafeai is now on OpenRouter, in beta.
Jev is a System One model. Instead of generating text, it takes your app's state plus a typed question and returns a typed decision with a probability attached. There is no JSON prompting, parsing layer, and nothing to validateShow more
JEV is INSANE.
We gave it 700 high-intent leads and personalised outreach messages.
In 40 seconds, it predicted how each message would perform, assigned a confidence score and detected lead-message mismatches.
All for just $0.09.
JEV can also score leads, analyse buyingShow more
Ran @typesafeai's Jev against an existing classifier eval that previously used Gemini 2.5 Flash Lite. It won both on quality (saturated the eval) and speed (6x)
Breaking: Browser Use + Jev = Ultrafast ⚡
Findings flights took 7s and cost only $0.0039 🤯
> new action space every step
> DOM state space
> small LLM fallback to type
(this video is at 1x speed btw)
Built a tiny open source browser agent. try it below ↓