Self-serve analytics is finally real (and that's terrifying)

This post details how well-modeled data, documentation, rules files, semantic layers, and reusable analyses serve as crucial context for AI agents, enabling self-serve analytics and empowering the entire company. It emphasizes that AI agents are the best users of data team's work, reading documentation and using endorsed analyses to inform their queries. The post highlights the importance of these contextual elements for building trustworthy systems and enabling self-serve analytics.