AI isn't magic, but rather a tool that can be used efficiently when properly managed. Professional knowledge workers use AI tools to accelerate their understanding and build context, which is then applied across multiple outputs. The key to productivity gains lies not in the tools themselves, but in knowing how to build and manage context. Context chaining is the practice of building deep understanding in collaboration with AI, then systematically applying that context across every deliverable needed. This approach allows professionals to direct AI to produce deliverables across multiple disciplines, maintaining coherence throughout, and becoming a conductor orchestrating AI capabilities rather than a user making isolated requests. By shifting the mental model from individual tasks to sustained context, teams can unlock extraordinary results and improve productivity.