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Implementing advanced AI technologies in finance
In finance departments that have long been defined by precision and control, AI has arrived less as a neatly managed upgrade than as a quiet insurgency. Employees are already using it while leadership races to impose structure, governance, and strategy after the fact. The result is a paradox: one of the most tightly regulated functions…
Configuring Amazon Bedrock AgentCore Gateway for secure access to private resources
In this post, you will configure Amazon Bedrock AgentCore Gateway to access private endpoints using Resource Gateway, a managed construct that provisions Elastic Network Interfaces (ENIs) directly inside your Amazon VPC, one per subnet. You will explore two implementation modes (managed and self-managed) and walk through three practical scenarios: connecting to a private Amazon API Gateway endpoint, integrating with a MCP server on Amazon Elastic Kubernetes Service (Amazon EKS), and accessing a private REST API.
Run custom MCP proxies serverless on Amazon Bedrock AgentCore Runtime
This post shows you how to deploy a serverless MCP proxy on Amazon Bedrock AgentCore Runtime that gives you a programmable layer to implement proper governance, controls, and observability aligned with an organization's security policies.
Amazon Quick for marketing: From scattered data to strategic action
Amazon Quick changes how you work. You can set it up in minutes and by the end of the day, you will wonder how you ever worked without it. Quick connects with your applications, tools, and data, creating a personal knowledge graph that learns your priorities, preferences, and network.
Get to your first working agent in minutes: Announcing new features in Amazon Bedrock AgentCore
Today, we're introducing new capabilities that further streamline the agent building experience, removing the infrastructure barriers that slow teams down at every stage of agent development from the first prototype through production deployment.
[AINews] OpenAI launches GPT-Image-2
with Cursor getting a $10B contract with xAI and a right to acquire for $60B.
From developer desks to the whole organization: Running Claude Cowork in Amazon Bedrock
Today, we're excited to announce Claude Cowork in Amazon Bedrock. You can now run Cowork and Claude Code Desktop through Amazon Bedrock, directly or using an LLM gateway. In this post, we walk through how Claude Cowork integrates with Amazon Bedrock and show an example of how knowledge workers use it in practice.
ToolSimulator: scalable tool testing for AI agents
You can use ToolSimulator, annbsp;LLM-powered tool simulation framework within Strands Evals, to thoroughly and safely test AI agents that rely on external tools, at scale. Instead of risking live API calls that expose personally identifiable information (PII), trigger unintended actions, or settling for static mocks that break with multi-turn workflows, you can use ToolSimulator's large language model (LLM)-powered simulations to validate your agents. Available today as part of the Strands Evals Software Development Kit (SDK), ToolSimulator helps you catch integration bugs early, test edge cases comprehensively, and ship production-ready agents with confidence.
Omnichannel ordering with Amazon Bedrock AgentCore and Amazon Nova 2 Sonic
In this post, we'll show you how to build a complete omnichannel ordering system using Amazon Bedrock AgentCore, an agentic platform, to build, deploy, and operate highly effective AI agents securely at scale using any framework and foundation model and Amazon Nova 2 Sonic.
Import AI 454: Automating alignment research; safety study of a Chinese model; HiFloat4
At what point do the financial markets price in the singularity?
From hours to minutes: How Agentic AI gave marketers time back for what matters
In this post, we share how AWS Marketing’s Technology, AI, and Analytics (TAA) team worked with Gradial to build an agentic AI solution on Amazon Bedrock for accelerating content publishing workflows.
Capacity Efficiency at Meta: How Unified AI Agents Optimize Performance at Hyperscale
We’re sharing insights into Meta’s Capacity Efficiency Program, where we’ve built an AI agent platform that helps automate finding and fixing performance issues throughout our infrastructure. By leveraging encoded domain expertise across a unified, standardized tool interface these agents help save power and free up engineers’ time away from addressing performance issues to innovating on [...] Read More... The post Capacity Efficiency at Meta: How Unified AI Agents Optimize Performance at Hyperscale appeared first on Engineering at Meta .
[AINews] RIP Pull Requests (2005-2026)
a quiet day lets us report on the death of the pull requests
Notion’s Token Town: 5 Rebuilds, 100+ Tools, MCP vs CLIs and the Software Factory Future — Simon Last & Sarah Sachs of Notion
Notion's cofounder and head of AI peel back the curtains to talk about finally shipping the Knowledge Work AI agents the world has been waiting for.
Spring AI SDK for Amazon Bedrock AgentCore is now Generally Available
With the new Spring AI AgentCore SDK, you can build production-ready AI agents and run them on the highly scalable AgentCore Runtime. The Spring AI AgentCore SDK is an open source library that brings Amazon Bedrock AgentCore capabilities into Spring AI. In this post, we build an AI agent starting with a chat endpoint, then adding streaming responses, conversation memory, and tools for web browsing and code execution.
[AINews] AI Engineer Europe 2026
Two quiet days in a row let us reflect on the first AIE in London.
Introducing stateful MCP client capabilities on Amazon Bedrock AgentCore Runtime
In this post, you will learn how to build stateful MCP servers that request user input during execution, invoke LLM sampling for dynamic content generation, and stream progress updates for long-running tasks. You will see code examples for each capability and deploy a working stateful MCP server to Amazon Bedrock AgentCore Runtime.
Human-in-the-loop constructs for agentic workflows in healthcare and life sciences
In healthcare and life sciences, AI agents help organizations process clinical data, submit regulatory filings, automate medical coding, and accelerate drug development and commercialization. However, the sensitive nature of healthcare data and regulatory requirements like Good Practice (GxP) compliance require human oversight at key decision points. This is where human-in-the-loop (HITL) constructs become essential. In this post, you will learn four practical approaches to implementing human-in-the-loop constructs using AWS services.
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