Summary
The question that’s been on my mind day and night as a builder: how do we get quality data analysis with AI? Here I lay out the problems and a pathway for addressing them.
Highlights
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When you point ChatGPT, Gemini, or Claude at your data warehouse and ask “why did retention drop?”, you are handing the question to a brilliant person who has never worked at your company, has never attended your team’s meetings, doesn’t know your metric quirks, and doesn’t know nearly half the things you do about your business. The problem is not intelligence. The problem is everything else.
Por esto es importante saber darle contexto al modelo.