@jerryjliu0: Building the Document Context Layer for AI Agents AI Agents are the new knowledge workers, but the vast majority of kno…
Summary
Jerry Liu discusses building a document context layer for AI agents, covering retrieval evolution, OCR challenges, and future agent-native document formats, based on his talk at AI Engineer World Fair 2026.
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Building the Document Context Layer for AI Agents
AI Agents are the new knowledge workers, but the vast majority of knowledge work depends on unstructured documents. If you don’t build the proper tools to help unlock that context, agents can’t do much.
I gave a comprehensive talk at the @aiDotEngineer World Fair last week on what it means to build a proper “document context layer” for generalized agent harnesses. This touches on the following: How agent retrieval has changed from 2023-2026 Why document OCR is still a hard but important problem to unlock context Why agents also need surrounding tools like extraction and search What’s still to come, from a standardized agent-native document format to specialized workflows that distill frontier intelligence, that can still be plugged in as tools.
Check it out: https://figma.com/deck/MQyWRRhjVBzs90bNifK9G3/-public–AI-Engineer-World-Fair-2026?node-id=28015-32&t=8eg3csfwu6MgwgHY-1&scaling=min-zoom&content-scaling=fixed&page-id=0%3A1…
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