But it doesn’t have to be that way. It can be adjusted through people writing in real time what counts as good and what doesn’t. People may already know fine-tuning is one approach, or you query a database and put results in its context — CAG — or earlier RAG and all sorts of other methods. But those may all be weaker than training a small model targeted to someone when they actually start showing new requirement indicators.