TypeSafe AI, a startup with $40 million in funding, released Jev — a model that returns typed probabilistic decisions (e.g. {"billing": 0.08, "technical": 0.85}) instead of natural language, aimed at machine-to-machine use like sorting support tickets and agent workflows. The Register demoed it playing Doom off structured game-state data; the pitch is cutting the parse-and-validate overhead of LLM text output.