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AI context architecture designs how AI agents access and use information, distinct from infrastructure and engineering. It involves guardrails, agentic memory, and human-in-the-loop mechanisms to ensure predictable outcomes. Experts Doug Whitley and Ash Zade explain the differences and practical applications.
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