Most agent stacks use a generative model to make decisions that never needed prose in the first place.

@NaceAI just launched Drex, a sub-6B decision model that outputs option probabilities instead of generating prose.

facts in, a probability for each available option out, in one pass. No reasoning paragraph to generate, then parse back into a tool call or routing decision.

And that makes a huge difference for agent routing, tool selection, reranking, policy checks, and other places where the system ultimately needs to choose from a known set. And Nace explicitly positions Drex around those workloads.

If the output you need is a decision, generation can be unnecessary compute.