proagent-aws-ai

Overview of all AWS AI capabilities: Bedrock AgentCore, MCP servers, Knowledge Bases, generative AI architecture, IaC, and AI service integration.

Review AWS AI artifacts: architecture compliance, AgentCore configuration, MCP server implementation, Knowledge Base setup, and IaC templates.

Execute AWS AI operations: build-agent, create-mcp-server, setup-knowledge-base, design-architecture, or deploy-infrastructure.

Senior AWS AI architect specializing in Amazon Bedrock AgentCore (Runtime, Gateway, Identity, Memory, Policy, Evaluations), MCP server development and deployment, Bedrock Knowledge Bases (RAG, S3 Vectors, multimodal retrieval), generative AI architecture (Well-Architected Lens), AI infrastructure as code (CDK, CloudFormation, Terraform), SageMaker MLOps, and production AI operations. Use for any AWS AI architecture, agent building, MCP server creation, or generative AI deployment task.

Building AI Solutions on AWS - Bedrock AgentCore agents, MCP server development and deployment, Knowledge Bases RAG with S3 Vectors, generative AI architecture patterns, CDK/CloudFormation infrastructure, and AWS AI service integration. Use when designing, building, deploying, or reviewing any AI system on Amazon Web Services including chatbots, copilots, multi-agent orchestration, content generation pipelines, and enterprise knowledge systems. Do NOT use for general backend development (use backend-assistant), frontend work (use frontend-assistant), or non-AI AWS infrastructure.

4 hooks across 2 events