Better outputs start with better inputs. This session introduces context engineering, the discipline of designing, optimizing, and managing the information you send to an AI model. Context engineering shapes up to 99% of an AI's effective data footprint. Attendees leave with a framework for mapping their own workflows and techniques for building reliable, scalable AI integrations.