Generate DAX from business logic, not from a blank formula bar

Why a DAX generator needs a model and a KPI

A formula without a grain, a date table, or a clear business definition will compile and still be wrong. The useful sequence is: business question → KPI definition → tables and relationships → DAX.

That is why this generator lives inside the same workflow as dashboard and KPI design. You do not paste FactSales[Amount] into a prompt and hope for a measure that matches how the company thinks.

What “generate DAX” means here

AI writes measures that follow the KPI contract: the fact, the filters, time intelligence where it is required, and names a report user can recognise. Syntax and model checks run so broken measures are not silently packed into the file.

• Measures tied to accepted KPI definitions
• Time comparisons only when the model can support them
• Names and folders aimed at the report, not at the developer only
• A downloadable list of measures in the implementation package

DAX is the Power BI language — the product is wider

Power BI needs DAX. Tableau and Qlik need their own calculation approach, which is why the package also carries blueprints for those tools. The brand stays an AI BI design platform; DAX is the calculation export for the Microsoft path.