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Build a dynamic, role-based AI agent using Amazon Bedrock inline agents

Machine Learning Blog



This article introduces Amazon Bedrock inline agents, a new capability that allows dynamic runtime configuration of AI agents with flexible tool selection and personalization.

  • Inline agents enable runtime modifications of agent behavior without redeploying applications
  • Demonstrates an HR assistant that adapts tools and access based on user roles
  • Supports rapid prototyping, A/B testing, and persona-based personalization
  • Allows dynamic tool selection, knowledge base access, and model configuration
  • Provides more efficient and adaptable AI assistants across different business contexts

The solution showcases how a single AI assistant can dynamically adjust its capabilities based on user permissions, offering a flexible approach to building intelligent, context-aware applications.



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