Global

Qwen3-8B on a real BANKING77 item. Every number is a model output.

The GIF is an original-speed render of a real local Snake run. Every move calls Laya; the visible cycle safety layer can correct unsafe proposals. The latency figures above are the separate one-question API benchmark, not the frame time of the three-question Snake loop.

Gaussian blur reveals how Valen-Preview-0923 adapts its decisions and confidence as visual detail decreases. 2% at the strongest blur.

Jev is TypeSafe AI's first System One model. It does not write prose. It takes a state plus questions whose answer space you define in advance, and returns typed values with probability distributions your code can branch on.

Select your agent when prompted. Installation is project-local by default; add -g to install globally.

Strands decider is one of a new class of decision models, or "system one" models. Unlike an LLM, which can generate arbitrary text, a decision model picks between sets of options and rates things on a scale.

Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub sync

The job · Primitives · Forward pass · Results · Latency · Run it · HTTP · Repository

The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev.

Turns a vague request into a typed IntentSpec: it looks up what it can, asks only what it can't, calls out a request that contradicts itself, admits two readings, or rests on a premise your own repo already disproves, and refuses to emit while the intent is still underspecified.

1207 public resources for Jev, TypeSafe AI's System One decision model, indexed by decision pattern. Source citations, dated link checks and scheduled call-site text checks; runtime and performance are not independently tested here. EN/中文, JSON schema and platform compatibility.

Bud Decision studio is an easy to use cross platform desktop application & serving system for Jev like models locally.