tl;dr: The author claims to have pioneered non-autoregressive, RL-trained decision models a year before TypeSafe AI's Jev launch, and is releasing Laya, an open-source Apache 2.0 alternative built on bidirectional encoders (ModernBERT/mmBERT). Laya outputs calibrated probabilities for choice/score/boolean schema questions in ~33ms (7.8x faster than Jev), supports 100+ languages via a Unicode-based router, and reportedly beats Jev on accuracy and calibration for most benchmarks—though it degrades on choice sets over 20 options and requires fine-tuning for strong task performance.