DAX Contracts: AI Use Explained

Key insights

• DAX contract: A clear agreement that defines how AI helps write or suggest DAX formulas, including the intent (what the measure should do) and constraints (performance or style limits).
  It keeps AI responses focused and predictable.
• Input schema and output schema: Describe required tables, columns, data types and the exact shape of returned measures or tables.
  That prevents mismatches and helps AI generate correct, usable DAX code.
• Prompt template and examples: Provide a short, repeatable prompt plus positive and negative examples so AI learns what valid solutions look like.
  Templates speed up iteration and reduce ambiguous answers.
• Validation and unit tests: Define automatic checks and sample cases to verify AI-generated DAX for correctness and performance.
  Include edge cases and expected outputs to catch subtle errors early.
• Data protection and access controls: Specify which data can be shared with AI and enforce policies to protect sensitive columns or rows.
  Keep privacy and compliance rules inside the contract.
• Versioning, audit trail and maintainability: Record contract versions, decisions and test results so teams can review changes and roll back if needed.
  Good governance makes future updates safer and faster.

Keywords

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