A key highlight was building a memory enabled agent workflow. Participants learned how an agent could retrieve data, analyze it using an LLM, store reports in Amazon S3 for long term retention, and maintain session level context through DynamoDB. This transformed the concept of an AI agent from a simple chatbot into a system capable of reasoning, remembering, and taking meaningful actions across multiple services.
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