Jev launches: a System One model for decisions
TypeSafe founder Diogo Almeida introduces Jev, its RLCD training method, and its focus on software decisions. The post includes a 2:56 launch video.

Visual Edition Jev is released, mapping candidate results to fixed labels per community ideas, direct sampling after prefill, limiting output tokens, and running smoothly locally on a 16G M4 MacBook Pro with multimodal qwen-3.5-0.8B 4-bit quantization.
Visual Edition Jev is Here https://github.com/hr98w/jev-visual… Following the community's ideas, mapping candidate results to fixed labels, direct sampling after prefill, limiting output tokens, using multimodal qwen-3.5-0.8B 4bit quantized deployment locally, running smoothly on 16g m4 mbp