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Building Agents with Tools
In Chapter 1, Understanding AI Agents on AWS, you learned the fundamentals of AI agents and created your first Hello World agent. An Agent that could understand requests and generate intelligent responses. But that agent was limited to conversation. It couldn't check the weather, read files, query databases, or take actions in the real world.
This limitation becomes painfully obvious the moment you try to build anything practical. Imagine deploying an AI assistant for your team that can discuss project requirements brilliantly but can't actually check if the deployment pipeline is running, read the latest error logs, or update a ticket status. Or consider a customer service agent that understands complex queries ...
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