How to Build an AI Agent That Interacts With All Your Data Sources youtube.com

Building an AI agent seems pretty simple on paper. But as soon as you try to deploy it, use it on a real world scenario or hand it off to someone like a client – it becomes a lot more difficult. When you actually use an AI agent in the real world, you need three things: connectivity, context, and control. I'm going to show you how to fix that problem.

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