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Lead Story
Authenticate with Private Key JWT using Amazon Bedrock AgentCore Identity
This post explains how Private Key JWT client authentication works in AgentCore Identity and reviews the supported grant flows. We then walk through creating an AWS KMS signing key, registering its public key with your identity provider, configuring a credential provider on the AWS Management Console, and reviewing example AWS CloudTrail events that record your agent’s access.
AWS Machine Learning Blog / 7:07 PM
How AgentCore Gateway supports the MCP 2026-07-28 spec
The Model Context Protocol (MCP) published its 2026-07-28 specification, the largest revision since launch: MCP is now stateless, with a governed extensions system and hardened authorization. Learn what changed and how to enable the new version on Amazon Bedrock AgentCore Gateway with a single UpdateGateway call.
AWS Machine Learning Blog / 5:24 PM
Market surveillance agent with LangGraph and Strands on AgentCore
Learn how to architect and deploy a production-ready multi-agent AI system using LangGraph for workflow orchestration and Strands for agent reasoning on Amazon Bedrock AgentCore. This post walks through a market surveillance example with state-driven orchestration, checkpoint-based recovery, and AgentCore memory and observability.
AWS Machine Learning Blog / 5:59 PM
Introducing Claude Opus 5 on AWS: Anthropic’s most capable Opus model
This post covers Opus 5’s improvements and practical guidance for AI engineers integrating the model into agentic systems and production inference workloads on Amazon Bedrock. See the documentation for Claude Platform on AWS.
AWS Machine Learning Blog / 11:03 PM
Best practices for applying Amazon Bedrock Guardrails to code generation workflows
In this post, we explain how Amazon Bedrock Guardrails can be configured for code generation workflows with coding assistants to overcome these constraints. With these best practices, you can build an efficient blueprint helping you with effective capacity planning with robust safety coverage.
AWS Machine Learning Blog / 5:00 PM
Evaluating AI Agents: A production blueprint with Strands and AgentCore
Together, Motorway and AWS built an end-to-end evaluation pipeline that reduced incorrect results from 1 in 8 queries to 1 in 50 and cut issue detection time from few hours to few minutes. The pipeline combines the Strands Agents SDK with Amazon Bedrock AgentCore, a fully managed service for deploying and operating AI agents at scale. In this post, you will learn how to build this pipeline for your own agents.
AWS Machine Learning Blog / 4:42 PM
Building trade assistant: How Jefferies optimized front office trading operations with AI
In this post, we explore how Jefferies overcame these challenges with a solution built on Strands Agents, an agent harness SDK for building AI agents that can reason, plan, and act by orchestrating calls to foundation models (FMs) and external tools. The solution uses large language models (LLMs), Amazon Bedrock, and Amazon Bedrock Knowledge Bases. It also uses Model Context Protocol (MCP), an open standard that helps AI agents securely connect to diverse data sources and tools through a unified interface. We cover the solution overview, the rationale for selecting the underlying technology stack, lessons learned, and the business impact the solution created at Jefferies.
AWS Machine Learning Blog / 6:42 PM
Transform your sales organization with Amazon Quick: your new agentic AI teammate
In this post, we walk through a few ways that Quick delivers on this promise. We cover the entire sales cycle, from identifying your highest-priority prospect, contacting them, working the deal to close, and keeping the CRM up to date as the account matures, while protecting your scarcest resource: your time.
AWS Machine Learning Blog / 5:13 PM
Introducing Mobile Layout for Amazon Quick dashboards
Teams that rely on dashboards for daily decisions often must pinch and zoom to interact with controls originally designed for larger displays. Checking revenue during a morning standup, reviewing pipeline metrics between meetings, or monitoring operations while traveling all require extra effort when the dashboard was built for a desktop screen. Mobile Layout for Amazon […]
AWS Machine Learning Blog / 7:29 PM
Introducing Grok on Amazon Bedrock
This post covers what makes Grok 4.3 a great fit for agentic and enterprise workloads, how you access it through Amazon Bedrock, and how to use the capabilities most teams reach for first: a basic chat request, configurable reasoning effort, tool calling, structured output, image input, and stateful multi-turn conversations.
AWS Machine Learning Blog / 3:50 PM
Building a restaurant telephony AI host with Amazon Bedrock AgentCore and Amazon Nova 2 Sonic
In this post, we show you how to build a voice ordering system that answers a phone number and takes the order from greeting to confirmation. The system uses Amazon Bedrock AgentCore to host and run the agent and Amazon Nova 2 Sonic for real-time speech, connected to a restaurant backend through the Model Context Protocol (MCP). The walkthrough covers deploying the full stack with AWS Cloud Development Kit (AWS CDK) and bridging a phone call into the agent through a Session Initiation Protocol (SIP) gateway on Amazon Elastic Container Service (Amazon ECS) and AWS Fargate. It also warms the agent session while the phone is still ringing, so the caller never hears dead air.
AWS Machine Learning Blog / 4:47 PM
Accelerating software delivery with agentic QA automation using Amazon Nova Act – Part 2
In this post, we extend that foundation to demonstrate how QA Studio addresses batch regression testing and pipeline integration through test suites that organize and parallelize execution, and a command-line interface that brings agentic testing into automated CI/CD pipelines.
AWS Machine Learning Blog / 4:43 PM
Scaling UX testing with Amazon Nova Act: A new approach to user flow analysis
Using generative AI enables parallel execution of comprehensive user flow testing at scale. This solution demonstrates how to build a cloud-deployed UX testing platform that automatically generates test scenarios from documentation, executes user flows at scale using the intelligent navigation capabilities of Nova Act, and provides actionable insights through automated analysis.
AWS Machine Learning Blog / 5:34 PM
Building an agentic AI solution at Bluesight with Amazon Bedrock
In this post, we describe how Bluesight used two AWS engagements and Amazon Bedrock AgentCore to evolve from a single-product AI prototype to Prism, a unified agentic AI solution spanning six healthcare compliance products. Prism Assistant for ControlCheck launched in May 2026 and is already in use by 20 health systems. A more complex multi-product agentic solution is on track for later in 2026.
AWS Machine Learning Blog / 4:42 PM
Launching UI for generative AI inference recommendations in Amazon SageMaker AI
In this post, we introduce the UI for optimized generative AI inference recommendations in Amazon SageMaker AI Studio, a low-code no-code (LCNC) experience. The API already gives you programmatic access to recommendations, but it assumes you know which parameters to set and how to interpret raw benchmark output. The UI removes that assumption. It guides you through preset use-case profiles, visual comparisons of results, and one-click deployment, so teams without deep infrastructure expertise can get a validated configuration on their own.
AWS Machine Learning Blog / 4:40 PM
MCP tool design: Practical approaches and tradeoffs
In this post, we show where MCP tool design goes wrong and how to fix it with practical context engineering approaches.
AWS Machine Learning Blog / 4:43 PM
How AWS Finance teams reclaimed hundreds of hours with Amazon Quick
In this post, we show how AWS Finance used chat agents and Flows in Amazin Quick to transform two of their most time-consuming workflows.
AWS Machine Learning Blog / 4:11 PM
Beyond RAG: Task-aware knowledge compression for enterprise AI on AWS
Traditional RAG hits a ceiling on analytical tasks that span hundreds of documents. This post shows how to use task-aware knowledge compression (TAKC) on AWS to pre-compress entire knowledge bases into task-specific representations, cache them at multiple fidelity tiers, and route each query to the right tier, with an open-source implementation you can deploy.
AWS Machine Learning Blog / 4:07 PM
Deepgram enhances Amazon SageMaker AI support with AWS IAM Temporary Delegation
In this post, we cover why Deepgram built on IAM temporary delegation, how the integration works end-to-end, and what it unlocks for customers running Deepgram speech models on SageMaker AI. With this integration, Deepgram has reduced the time for initial investigation on a SageMaker AI support ticket from days to minutes.
AWS Machine Learning Blog / 4:05 PM
How Guardoc transforms medical document processing with Amazon Nova models
In this post, we explore how Guardoc Health uses the Amazon Nova family of models, available through Amazon Bedrock, to transform clinical documentation in long-term care.
AWS Machine Learning Blog / 3:42 PM
Build an explainable next-best-product recommendation system for banking on AWS
Learn the architecture and design decisions behind an explainable next-best-product recommendation system for banking, built with Amazon SageMaker AI and PyTorch. A multi-tower neural network with learned attention delivers accurate, per-customer recommendations while providing the explainability that banking regulators require.
AWS Machine Learning Blog / 3:40 PM
Get started with OpenAI GPT-5.6 Sol, Terra, and Luna on Amazon Bedrock
OpenAI GPT-5.6 Sol, Terra, and Luna are now generally available on Amazon Bedrock. Learn how to select a model, run inference through the Responses API on the bedrock-mantle endpoint, reduce cost with prompt caching, connect the OpenAI Codex coding agent, and plan for quotas and scaling.
AWS Machine Learning Blog / 4:40 PM
Building multi-Region visualizations with Highcharts in Amazon Quick
This post shows you how to build multi-Region carrier performance dashboards in Quick Sight using Highcharts custom visualizations to overcome native chart limitations. You will learn how to maintain data sovereignty across AWS Regions while creating unified visualizations through the Quick Sight federated dataset capability. The solution includes production-ready chart configurations and addresses security, compliance, and scalability requirements.
AWS Machine Learning Blog / 4:38 PM
Detecting silent agent failures with Amazon Bedrock AgentCore optimization
Amazon Bedrock AgentCore optimization surfaces silent behavioral failures in production AI agents: the ones that pass every health check but still deliver wrong outcomes. Learn how insights discovers, explains, and ranks failure patterns across sessions so you can fix the highest-impact issues first.
AWS Machine Learning Blog / 4:30 PM
Agentic retrieval for Amazon Bedrock Managed Knowledge Base
This post focuses on why classic retrieval falls short on multi-part questions, how the AgenticRetrieveStream API works (including request construction and trace parsing), and when to choose it over the standard Retrieve API.
AWS Machine Learning Blog / 3:54 PM
AI Teammates: how monday.com runs production AI agents on Amazon Bedrock
AI Teammates are agentic AI on Amazon Bedrock, and few engineering organizations run them in production at the scale that monday.com does. Nine in ten Builders use AI coding tools every month, up from roughly half a year ago. Per-engineer PR throughput is up by more than half. Every figure in this post comes from monday’s own internal production data. In this post, we share the architecture behind those numbers, the retrofits that made it work in a decade-old code base, and the confidence-scored merge play closing the gap to full autonomy.
AWS Machine Learning Blog / 4:23 PM
Exploring self-distilled reasoning for supervised fine-tuning with Amazon Nova
In this post, we explore an idea for generating thinking tokens for datasets that lack reasoning traces in SFT customization. We first examine the reasoning suppression problem, then introduce Self-Distilled Reasoning (SDR), validate it across three benchmarks, and provide practical recommendations.
AWS Machine Learning Blog / 5:25 PM
Custom OS installation now available on AWS DeepRacer devices
With the stock firmware and software, developers couldn't modify their AWS DeepRacer devices to use the latest operating systems. Now, developers can upgrade or install a custom operating system (OS) by using a newly released bootloader, which extends the life of these hardware devices. In this post, we introduce the bootloader, discuss how to use it, and share links to a community distribution that uses it.
Latest story in this edition: 4:20 PM
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