It's a non-instruction-tuned classifier model trained on a confidence-aware RL variety that generates its own schema and follows it, with a confidence score output. Think BERT on crack, smart enough to be used as a decision maker (conceptually). They call it "not an LLM" because it's non-generative but of course it's a language model in the same way all non-instruction-tuned classifiers are.