Having worked with AI and LLMs for quite a bit now as a "wrapper", I think the real key is that doing well (fast, accurate, relevant) requires a really, really

Having worked with AI and LLMs for quite a bit now as a "wrapper", I think the real key is that doing well (fast, accurate, relevant) requires a really, really good ETL process in front of the actual LLM. A "wrapper" will always be better than the the foundation models so long as it can do the domain-specific pre-generation ETL and data aggregation better; that is the true moat for any startup delivery solutions using AI. Your moat as a startup is really how good your domain-specific ETL is (ease of use and integration, comprehensiveness, speed, etc.)