The Training Environment enables continuous fine-tuning of local LLMs using structured data from all Nexus environments. This creates a dual-layer intelligence: trained knowledge IN the model weights + live Memory layer for current data.
Key Insight: Training is not one-time. It's continuous - daily/weekly cycles that make the LLM progressively smarter as Nexus data grows.
Result: Client can ask the LLM questions OUTSIDE of Nexus about things that ARE in Nexus, and it will know the answer because it's trained on that data.