Agents

Building a restaurant telephony AI host with Amazon Connect

Learn how to build a voice ordering system for restaurants that answers a phone call and takes an order end to end, with no app, no website, and no sign-in. It …

Agentic Resource Discovery (ARD): An open specification for agent discovery

AWS Agent Registry gives your organization a centralized, searchable catalog for agents, tools, and skills. It works with the open Agentic Resource Discovery (A…

Up to 30x More Work Per Watt: NVIDIA Vera Rubin NVL72 Sets a New Efficiency Standard for AI Agents

According to OpenRouter data, agentic AI workloads consume 15x more tokens than a simple chat request. Why? Consider what happens when an AI agent researches a …

With Groq 3 LPX in Full Production, NVIDIA Extends Vera Rubin Inference for Agents

The next era of AI inference won’t be defined by a single breakthrough chip, network or system. It’ll be defined by how every layer of the AI factory works toge…

How agents can delegate better

In any organizational behavior class, students will learn that effective delegation is among the most important skills for a seasoned leader. Getting meaningful…

Accelerating aircraft IFEC diagnostics with agentic AI on AWS

Panasonic Avionics worked with AWS and the AWS Generative AI Innovation Center to build an agentic AI system on Amazon Bedrock, Amazon SageMaker, and AWS Glue t…

Govern AI agent tool access with Amazon Bedrock AgentCore Gateway

Give your AI agents governed, auditable access to enterprise tools without consolidating infrastructure. This post walks through a four-scope maturity model (Co…

Agentic Data Operations Platform (ADOP): Data engineering into hours

The Agentic Data Operations Platform (ADOP) is a reference architecture on Amazon Bedrock that uses specialized AI agents to automate the full Bronze-to-Silver-…

Shared agentic work with GitHub Copilot in Microsoft Teams

Turn a Microsoft Teams discussion into a collaborative agent session everyone can see and help direct. Mention @GitHub in a channel, thread, or direct message t…

The new GitHub Copilot experience in Slack

The GitHub integration in Slack now brings the agentic capabilities of GitHub Copilot CLI and the GitHub Copilot app into Slack in public preview. You can work …

Beyond the copilot: Scaling the agentic product development life cycle

Only a few software teams are seeing real impact from incorporating AI. The key is launching an AI-driven redesign of the entire product development system, rat…

Sightlines issue no.2: What leaders need to know about building agents

Expanding Google Antigravity for enterprise customers

Since announcing Google Antigravity in Gemini Enterprise Agent Platform at I/O in May, we’ve heard helpful feedback from our customers. Your developers want eas…

How AlloyDB ScaNN scales vector search to 10 billion vectors

To satisfy the demands of enterprise-grade agentic AI applications, underlying vector databases often struggle to scale effectively as modern use cases can scal…

10 questions every startup should answer before moving to production with their AI prototype

It’s never been easier to start an AI-powered startup on Google Cloud. You grab an API key from Google AI Studio at breakfast, paste it into Antigravity, and by…

AWS vector solutions: Build agentic AI where your data lives

AWS offers a broad portfolio of vector search built directly into the databases and storage services you already use, with no standalone vector database or data…

Scaling cloud migrations with agentic AI on Amazon Bedrock AgentCore

Learn how AWS Professional Services uses a multi-agent framework built on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Purpose-b…

Scaling agentic AI: Enterprise patterns without vendor lock-in

Scaling agentic AI across an enterprise requires patterns that preserve flexibility while avoiding vendor lock-in. In this second post of our multi-agent series…

Authoring Dogwood policies from natural language in Amazon Bedrock AgentCore

AI agents can take actions that do not match your organization's policies. Policy in Amazon Bedrock AgentCore lets teams enforce controls across agents, now inc…

Debates over AI consciousness are a trap

“Runaway” AI, “rogue” agents, and “autonomous” actors—the current rhetoric would have you believe that AI agents are not only awake and aware, but angry at thei…

Agentic Search. More accurate and efficient results from your AI systems.

The retrieval layer that helps AI systems navigate, read, and verify information inside even the most complex documents…

Simple agents

Slack is the new IDE…

How Fanatics Betting and Gaming built a multi-agent customer support system

Fanatics Betting and Gaming built a multi-agent customer support system on AWS to handle the complexity of sports betting: state-specific rules, real-time respo…

Asynchronous patterns for calling Amazon Bedrock AgentCore agents in serverless pipelines

In this post, you learn three serverless patterns (task-token callback, direct service integration, and durable functions) for invoking Amazon Bedrock AgentCore…

Domain and publish date filters for Web Search on AgentCore

Web Search on Amazon Bedrock AgentCore now supports runtime domain and published-date filtering. New per-request filters give developers per-call control over w…

Enterprise managed settings in GitHub Copilot for JetBrains

GitHub Copilot for JetBrains now supports enterprise managed settings for plugin governance, MCP server access, OpenTelemetry, and permission modes. Administrat…

Amazon Bedrock AgentCore payments is now generally available: Enabling agents to transact safely and autonomously at scale

Amazon Bedrock AgentCore payments is now generally available, enabling AI agents to autonomously transact at scale with built-in spending guardrails, protocol-a…

Implement vector-prompt document classification using Amazon Bedrock

Learn how to build a multi-agent document classification solution on Amazon Bedrock using the Strands Agents SDK. Three specialized agents combine textual analy…

Customize Amazon Quick embedded chat into your application

Amazon Quick embedded chat brings a conversational AI interface into your web application. This post walks through customizing the embedded chat with container …

Building cost-effective, high-throughput gen AI workflows in Google Dataflow

Real-time streaming pipelines are the operational backbone of modern enterprises, continuously processing everything from customer support interactions to trans…