Building the Document Context Layer for AI Agents

AI agents are the new knowledge workers, but knowledge work depends on unstructured enterprise context. ~90% of that data lives in the form of document containers - from human-native (PDFs, Word, Pptx) to emerging agent-native formats (HTML, MD). Doing RAG in 2026 involves generalized agent harnesses with tools, MCPs, and skills. In this world, every company building agents needs a Document Context Layer, the bridge between their unstructured docs and the agents trying to reason over them. This talk covers what that layer looks like in practice: from document understanding, retrieval, and workflows, to areas yet to be explored — agent-native formats, versioning, editing, permissions, and longer-running agents.