This post demonstrates a hands-free First Notice of Loss (FNOL) intake system utilizing Strands Agents SDK and Amazon Bedrock AgentCore Browser Tool. The system aims to automate repetitive screen work in claims processing while retaining human expertise.
Amazon Bedrock AgentCore Runtime provides each agent session with an isolated microVM, persistent workspace, and secure tool access. This enables running coding agents like Claude Code, Codex, Kiro, and Cursor in parallel without sharing secrets or files.
This article connects previous pieces to explain multimodal RAG. It details how Amazon Bedrock Knowledge Bases now supports multimodal content, including images, audio, and video, to build end-to-end RAG workflows on AWS.
This week, AWS added Claude Opus 4.7 to Amazon Bedrock, coinciding with Amazon's additional $25 billion investment in Anthropic, totaling $33 billion. This represents the largest corporate AI infrastructure bet in history, with immediate implications for engineers building on AWS using Claude in production agentic systems.
The content discusses the evolution of AI agent stacks, highlighting the current challenge of optimizing deployed agents without rebuilding them from scratch. It introduces AgentCore Optimization as a solution for running controlled A/B experiments and evaluating live agent performance.
OpenAI's GPT-5.5, GPT-5.4, and Codex models are now generally available on Amazon Bedrock. They can be deployed today in production applications and agents, leveraging Bedrock’s high-performance inference engine.
This content focuses on how to troubleshoot latency issues and optimize the performance of Amazon Bedrock Agents. It offers a practical guide to enhance the efficiency and responsiveness of AI agents.
This document outlines methods to resolve private marketplace eligibility errors encountered when trying to access Amazon Bedrock models. It provides a step-by-step guide to overcome impediments and ensure proper access to the models.
This post introduces Amazon Bedrock Ops Alert, a three-layer automated monitoring solution for AI operations. It proactively detects issues, dynamically adjusts alarm thresholds, classifies alarms, and creates context-aware support cases for AI SRE teams.
This post demonstrates how OPLOG developed and deployed three AI agents for business intelligence using the Strands Agents SDK and Amazon Bedrock AgentCore. It details the integration with Anthropic's Claude Sonnet and Amazon Bedrock Knowledge Bases for Retrieval Augmented Generation (RAG).
This content explains the architectural difference between chatbots and AI agents, detailing the agent's four-step loop (Perceive, Plan, Act, Reflect). It then outlines a project to build a memory-powered multi-agent financial advisor utilizing specialist sub-agents, Strands SDK, and Amazon Bedrock.
This post explains how to integrate Amazon Quick with AWS services using Amazon Bedrock AgentCore Runtime's Model Context Protocol (MCP) support. It demonstrates creating a conversational AI assistant that translates natural language into AWS CLI commands, streamlining operations.
This solution enables building and operating AI-powered dashboard automation agents using Amazon Bedrock AgentCore, Strands Agents, and Amazon Quick transforms. It provides a secure, scalable, and intelligent system for transforming data into actionable business insights.
This post demonstrates how to implement custom code-based evaluators in Amazon Bedrock AgentCore. It teaches how to register Lambda-based evaluators for a financial market-intelligence agent and combine them with built-in evaluators for fact-checking and PII detection.
This post demonstrates how to build a document extraction and model fine-tuning pipeline for complex financial documents, combining Pulse AI's capabilities with Amazon Bedrock services. Organizations can achieve enterprise-grade accuracy and extract contextually relevant financial insights at scale.
This post teaches how to use Amazon Nova Sonic, Amazon Bedrock AgentCore, and Strands BidiAgent to build scalable and maintainable voice agents. It explores popular architectural patterns for voice agents, highlighting trade-offs and best practices for minimizing latency and achieving more intelligent customer interactions.
Stratoclave is an open-source gateway designed to manage and track the usage of AI models on Amazon Bedrock, including Claude Code and OpenAI's codex. It provides per-user credit management without needing complex backend services, operating as a FastAPI service on AWS ECS Fargate.
This post details the collaboration between AWS Generative AI Innovation Center and Works Human Intelligence to develop two AI agents using Amazon Bedrock AgentCore. The project successfully addressed challenges, reducing costs by up to 97% and enhancing operational efficiency.
This post details how to build a high-performance multi-agent generative AI system for campaign review, leveraging Strands Agents for orchestration, NVIDIA NIM for GPU-accelerated inference, and Amazon Bedrock AgentCore for managed runtime. This integrated architecture facilitates parallel reasoning and traceable execution paths, ensuring performance, scalability, and operational insight in production environments.
This post teaches how to implement Recursive Language Models (RLM) using Amazon Bedrock AgentCore Code Interpreter and the Strands Agents SDK. It covers processing documents of unlimited length and utilizing Bedrock AgentCore Code Interpreter as persistent memory for iterative analysis.