Most attempts to generate DAX with AI fail for the same reason:
the model has no idea what your semantic model actually looks like.

Without context, AI can’t know which tables exist, how they are related, what measures you already have, or how your business logic is structured. The result is often generic, incorrect, or unusable DAX.

In this flash session, you’ll see how exporting your Power BI semantic model as TMDL gives AI the exact structure of your dataset — including tables, columns, relationships, and measures — so it can generate accurate, contextual, and production-ready DAX.