Anthropic launched Claude Mythos, an AI model exclusively on AWS Bedrock under Project Glasswing, achieving a record 93.9% on SWE-bench Verified. This model represents a category shift, offering state-of-the-art performance in cybersecurity, coding, and complex reasoning, with significant implications for cloud engineering and AI infrastructure.
This article describes a pattern for implementing "trust-gated delegation" in AWS Bedrock, addressing the gap where CloudTrail logs agent tool calls but not their trustworthiness. It leverages Agent Veil Protocol (AVP) to allow an orchestrator agent to check the reputation and trust tiers of other agents before delegating tasks.
This guide details the experience of building an AI-powered assistant using OpenClaw for Vinu Digital, addressing complex infrastructure, cost, and memory concerns. It shares the transformation of combining the OpenClaw agent runtime with AWS Bedrock and the realities of enterprise AI infrastructure.
The article details the challenges of building real-time voice AI, focusing on pipeline processing latency. It highlights how AWS Bedrock's streaming capabilities were crucial in reducing delays and enabling natural conversations when creating an Amharic AI tutor for Ethiopian students.
The content discusses the challenge enterprises face with numerous specialized AI agents, where users bear the burden of context-switching without proper orchestration. AWS Sales addressed this by leveraging Amazon Bedrock AgentCore to unify over 20 domain-specific agents, streamlining their agentic AI sales strategy.
This post demonstrates how to combine Stream's Vision Agents open-source framework with Amazon Bedrock and Amazon Nova 2 Sonic to build production-ready real-time voice agents. It covers the integration mechanics, provides code examples, and explores advanced features like function calling and multilingual support.
This post covers the improvements of Claude Opus 4.8 and provides practical guidance for AI engineers. It focuses on integrating the model into agentic systems and production inference workloads on Amazon Bedrock.
Este conteúdo apresenta o MCP (Model Context Protocol) como um padrão fundamental para infraestrutura de IA, permitindo que agentes de IA utilizem ferramentas externas de forma confiável. É um tutorial prático para implantar um servidor MCP no AWS Bedrock, padronizando a interação entre agentes e ferramentas.
This content details the process of setting up a Lambda function to be used with an AWS Bedrock Agent, demonstrating how to return the current time in CST. It includes the complete Python code for the function and the deployment and testing steps.
O artigo descreve a experiência do autor ao implantar um agente de IA no AWS AgentCore, detalhando as complexidades e desafios de configurar múltiplos recursos AWS. Ele superou essas dificuldades ao usar sua própria plataforma, conseguindo a implantação em apenas 4 minutos.
Amazon is heavily investing in AI, committing $25 billion to data centers and a $200 billion bet on AI, robots, and satellites, while expanding services like AWS Bedrock and Alexa AI. This aggressive AI push is also reshaping the job market, leading to layoffs at Amazon and other companies in 2026.