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  • How Cohere Health digitizes clinical policies using Amazon Bedrock AgentCore

    calendar Aug 7, 2026 · aws.amazon.com/blogs/machine-learning
    How Cohere Health digitizes clinical policies using Amazon Bedrock AgentCore

    In this post, you learn how Cohere Health built a multi-tenant agentic architecture on AgentCore using AgentCore Runtime’s secure MicroVM isolation, unified tool access through AgentCore Gateway, AgentCore Memory, and the Agent Skills open standard to rapidly scale policy digitization capabilities, while preserving …


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  • How TReNDS automates root-cause analysis with Amazon Bedrock

    calendar Aug 7, 2026 · aws.amazon.com/blogs/machine-learning
    How TReNDS automates root-cause analysis with Amazon Bedrock

    TReNDS, a research center at Georgia State University, built an agentic AI pipeline on Amazon Bedrock and the open-source Strands Agents SDK that automatically investigates production errors in real time, reducing root-cause analysis from 15 to 30 minutes of manual work to under 60 seconds. Link to article: …


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  • Determining playoff clinching scenarios in the NHL using constraint programming

    calendar Aug 7, 2026 · aws.amazon.com/blogs/machine-learning
    Determining playoff clinching scenarios in the NHL using constraint programming

    The AWS Generative AI Innovation Center built an automated system that uses constraint programming and custom tree search to determine, with mathematical certainty, when and how an NHL team clinches a playoff spot. The approach was validated against four full NHL seasons of officially published results. Link to …


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  • Securing AI agents with temporal policies in Amazon Bedrock AgentCore

    calendar Aug 6, 2026 · aws.amazon.com/blogs/machine-learning
    Securing AI agents with temporal policies in Amazon Bedrock AgentCore

    Temporal policies in Amazon Bedrock AgentCore let you define stateful rules that evaluate authorization based on an agent's session history. Learn how to enforce workflow sequencing, prevent data fabrication, cap financial exposure, and require human approval for high-value actions. Link to article: …


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  • Configure rate limits for AI traffic on AgentCore gateway

    calendar Aug 6, 2026 · aws.amazon.com/blogs/machine-learning
    Configure rate limits for AI traffic on AgentCore gateway

    Learn how to configure rate limits on Amazon Bedrock AgentCore gateway to enforce per-user and per-target traffic controls. Define request, token, and connection limits scoped by JWT claims or IAM identity to protect downstream models, tools, and agents from traffic spikes. Link to article: …


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  • Control agent behaviors and cost beyond a single action: new capabilities in Amazon Bedrock AgentCore

    calendar Aug 6, 2026 · aws.amazon.com/blogs/machine-learning
    Control agent behaviors and cost beyond a single action: new capabilities in Amazon Bedrock AgentCore

    Learn about new capabilities in Amazon Bedrock AgentCore: temporal policies powered by Dogwood, a new open source policy language for AI agents, and rate limiting on the gateway. These features give you deterministic control over sequences of agent actions and cost ceilings that hold regardless of agent behavior. Link …


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  • Build visibility for Codex on Amazon Bedrock with OpenTelemetry and Amazon CloudWatch

    calendar Aug 6, 2026 · aws.amazon.com/blogs/machine-learning
    Build visibility for Codex on Amazon Bedrock with OpenTelemetry and Amazon CloudWatch

    As engineering teams adopt coding agents like Codex, leaders need visibility into adoption, consumption, and reliability. This post shows how to route Codex OpenTelemetry metrics through a local collector to Amazon CloudWatch for an AWS native view of usage by user, team, and cost center. Link to article: …


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  • Enforcing data residency with single-Region Claude Code on Amazon Bedrock

    calendar Aug 6, 2026 · aws.amazon.com/blogs/machine-learning
    Enforcing data residency with single-Region Claude Code on Amazon Bedrock

    A regulated customer needed all Claude Code inference processed in a single AWS Region (London), not just in-geography. This post shows two ways to pin Claude Code on Amazon Bedrock to one Region: an application inference profile or the Mantle endpoint, paired with an IAM Region condition, plus how to verify compliance …


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  • Agent Skills for Automated Reasoning policies in Amazon Bedrock

    calendar Aug 6, 2026 · aws.amazon.com/blogs/machine-learning
    Agent Skills for Automated Reasoning policies in Amazon Bedrock

    Learn how to run the full Amazon Bedrock Automated Reasoning policy lifecycle from your coding agent. A suite of open source Agent Skills builds, reviews, tests, debugs, deploys, and validates a custom policy end to end, turning a specialized console task into a repeatable engineering workflow. Link to article: …


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  • Building an agentic app deployer with Amazon Bedrock and AWS Lambda

    calendar Aug 6, 2026 · aws.amazon.com/blogs/machine-learning
    Building an agentic app deployer with Amazon Bedrock and AWS Lambda

    PDI Technologies built PDI Brew, an agentic platform on AWS where non-technical employees describe a tool in plain English and receive a fully provisioned, multi-tenant web application in seconds. See how a pluggable planner and an AWS Lambda provisioning agent turn plain-English intent into governed, multi-tenant apps …


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  • LLM optimization integration for Amazon SageMaker Python SDK

    calendar Aug 6, 2026 · aws.amazon.com/blogs/machine-learning
    LLM optimization integration for Amazon SageMaker Python SDK

    The Amazon SageMaker Python SDK v3 now exposes generative AI inference recommendations in Amazon SageMaker AI directly in your notebook. Benchmark an endpoint, generate data-driven deployment recommendations, and deploy the recommended configuration without leaving your notebook workflow. Link to article: …


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  • How LendingTree built a multi-agent mortgage assistant on Amazon Bedrock

    calendar Aug 5, 2026 · aws.amazon.com/blogs/machine-learning
    How LendingTree built a multi-agent mortgage assistant on Amazon Bedrock

    Learn how LendingTree built a production multi-agent mortgage assistant on Amazon Bedrock. Three coordinated agents use LangGraph, the Model Context Protocol, and Amazon Nova models with built-in guardrails to deliver 24/7 personalized mortgage guidance while meeting strict financial-services compliance. Link to …


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  • How Mobileye transformed support operations using Amazon Bedrock AgentCore

    calendar Aug 5, 2026 · aws.amazon.com/blogs/machine-learning
    How Mobileye transformed support operations using Amazon Bedrock AgentCore

    In this post, we'll explore how Mobileye deployed an AI support agentic solution on Amazon Bedrock AgentCore - from the support bottleneck that sparked the idea, through the proof of concept that validated it, to the hybrid architecture that bridges on-premises systems with AWS cloud services. This approach is relevant …


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  • How we built an MCP bridge to give our AgentCore-hosted AI agent access to local MCP tools

    calendar Aug 5, 2026 · aws.amazon.com/blogs/machine-learning
    How we built an MCP bridge to give our AgentCore-hosted AI agent access to local MCP tools

    AI agents on Amazon Bedrock AgentCore run in the cloud, but users' tools and files live on their laptops. Learn how to build a secure MCP bridge that lets a cloud-hosted agent call local MCP servers by tunneling signed messages over the existing WebSocket connection through a browser extension and Chrome native …


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  • Run production AI agents in n8n with Amazon Bedrock AgentCore harness

    calendar Aug 5, 2026 · aws.amazon.com/blogs/machine-learning
    Run production AI agents in n8n with Amazon Bedrock AgentCore harness

    Amazon Bedrock AgentCore harness is now generally available. Learn how to add it as an agent step in n8n workflows using a new open-source community node, and build agents with persistent memory, real tools, code execution, and VPC isolation — all from the n8n editor with no infrastructure or agent code. Link to …


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  • Introducing Web Search on Amazon Bedrock for foundation model grounding

    calendar Aug 4, 2026 · aws.amazon.com/blogs/machine-learning
    Introducing Web Search on Amazon Bedrock for foundation model grounding

    Today, we are introducing the general availability of Web Search on Amazon Bedrock. It is a server-side built-in tool that grounds model responses in current web knowledge. With Web Search, grounding becomes a native capability of Amazon Bedrock, with no third-party vendors to onboard, no external APIs to orchestrate, …


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  • Automated web insight extraction with Amazon Bedrock AgentCore

    calendar Aug 4, 2026 · aws.amazon.com/blogs/machine-learning
    Automated web insight extraction with Amazon Bedrock AgentCore

    Extracting insights from dozens of websites by hand quickly becomes overwhelming. This post shows how to build an automated web insight extraction solution with Amazon Bedrock AgentCore Browser, Amazon Bedrock, Amazon OpenSearch Serverless, and AWS Lambda that monitors RSS feeds, renders pages reliably, and makes …


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  • From weeks to minutes: How Formula 1® uses agentic AI on AWS to accelerate data operations

    calendar Aug 3, 2026 · aws.amazon.com/blogs/machine-learning
    From weeks to minutes: How Formula 1® uses agentic AI on AWS to accelerate data operations

    Formula 1® partnered with AWS to build the Data Accelerator, using agentic AI on Amazon Bedrock AgentCore to transform its MarTech data platform. Learn how F1 cut data source onboarding from up to 8 weeks to about 40 minutes, automated schema evolution, and gained end-to-end observability across its fan-engagement data …


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  • Automated Reasoning policy refinement in Amazon Bedrock

    calendar Aug 3, 2026 · aws.amazon.com/blogs/machine-learning
    Automated Reasoning policy refinement in Amazon Bedrock

    Amazon Bedrock now supports automatic Automated Reasoning policy refinement. The refinement engine diagnoses failing tests and proposes formal-logic fixes for rule issues and language issues, and you approve every change before it takes effect. This post walks through both refinement modes with complete API and console …


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