dbt Summit discussions highlighted the need for debuggable data context for AI agents. Cassis proposes organizing business knowledge in a tree structure of domains to enable clear retrieval paths, making it easier to diagnose and fix agent failures by distinguishing between missing information, incorrect information, retrieval failures, and model errors.