When you ask a question in Agent mode, Genie doesn’t just return a single query. It investigates the problem like a real data analyst: planning an approach, testing hypotheses, and iterating toward an explanation.

For example, imagine a Genie space for customer support. You notice a spike in reopened cases in December 2025 and ask: “What’s contributing to the spike in reopened support cases?”

Agent mode first confirms the spike, then explores possible contributors such as customers, products, categories, or teams. It uses the business context in your Genie space, including Unity Catalog metadata and author-defined semantics, to focus on the most relevant potential contributing factors.

Agent mode then evaluates these hypotheses by executing multiple queries against the underlying data. The semantics defined in Genie’s knowledge store teach it how to produce accurate queries. We also made Agent mode’s work transparent so users can always verify its accuracy.