Preparing Your Data Warehouse for AI: Let Your Agents Cook

Preparing Your Data Warehouse for AI: Let Your Agents Cook

The key insight: AI models are smart, but they need context. We walk through practical techniques including database profiling with DuckDB's summarize function, query history analysis to understand actual usage patterns, and storing metadata directly in SQL comments. We also share what doesn't work—from overly complex prompts to expensive multi-candidate generation approaches.

The webinar includes a live demo of the MotherDuck MCP (Model Context Protocol) with Claude, showing how properly enriched databases enable AI agents to write accurate queries, self-correct mistakes, and generate insights with minimal human intervention.