TY, I hadn't seen the article and will read it. Re data: for example, I have an AI that rides an n8n workflow. I would quite like that AI to be an expert at n8n software so that it can tell me how to improve it (or so it can improve itself). I can create a vector store and populate it with the best n8n knowledge base and use that for RAG with the agent. BUT that's lots of work to fine tune and shouldn't n8n (as software vendor) just provide me with one of those pre-rolled? As for humans as DVMs, absolutely 100%. And not temporarily either. "AI, my toilet doesn't flush properly, fix it". AI agent sends kind 5000 request for plumber. Plumber's agents respond with quotes. AI agent selects plumber based on prices and recommendations, arranges times and payments... Later, my loo is fixed and I am happy as I didn't need to bother calling around to get quotes or check references. This has lots of scope and I don't see AI replacing plumbers quite yet.