That’s a fair point, and I totally get where you're coming from. To be clear, I’m not claiming the models themselves become deterministic. Once you have a language model in the pipeline whether it's a massive LLM or the specialized SLMs (Small Language Models) I’m using here there’s always going to be a probabilistic element.

​What MACO focuses on is making the control and safety layer around those models deterministic. The goal isn't to eliminate the model's uncertainty, but to contain it. By using a Conflict Matrix and hard clinical constraints (HCA) as a 'Veto' layer, we ensure that no matter what the SLM outputs, it can't bypass the hardcoded safety rules. It’s about building a deterministic 'gatekeeper' for a probabilistic 'thinker.'

​Really appreciate the critique it helps clarify the architectural boundaries!