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Amazon has released Bedrock AgentCore, a platform for building and deploying AI agents with microVM isolation for secure session handling. The platform integrates with Amazon Nova 2 Sonic, a speech-to-speech foundation model, and supports the Model Context Protocol (MCP) for connecting agents to backend services.

Amazon Web Services has detailed how its Nova Act browser automation SDK can streamline competitive price intelligence workflows. The service enables developers to build agents that navigate websites, extract pricing data using natural language instructions, and run parallel monitoring across multiple competitor sites—addressing manual processes that consume hours daily and delay pricing decisions.

Amazon Bedrock AgentCore Evaluations, a fully managed service for assessing AI agent performance, is now generally available following its public preview debut at AWS re:Invent 2025. The service addresses the core challenge that LLMs are non-deterministic—the same user query can produce different tool selections and outputs across runs—making traditional single-pass testing inadequate for reliable agent deployment.

AWS has released QA Studio, a reference solution for QA automation built on Amazon Nova Act that enables teams to define tests in natural language rather than code. The system uses visual understanding to navigate applications like users do, automatically adapting to UI changes and eliminating maintenance overhead from traditional selector-based testing frameworks.

Amazon Web Services unveiled an agentic AI system for streaming platforms combining Nova Sonic 2.0 (real-time speech model), Bedrock AgentCore, and the Model Context Protocol. The system delivers two core capabilities: context-aware movie recommendations based on mood and viewing history, and real-time scene analysis including actor identification and plot summaries.