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This is guest post by David Lord, Taylor Lord, Shiva Prasad, Anup Banasavalli Hiriyanagowda, Nikhil Chandra from Guidesly. Guidesly is reshaping how outdoor recreation is booked, run, and experienced. Founded in 2019, it began as a way to connect anglers, hunters, divers, and outdoor recreation enthusiasts with trusted guides, dive shops, and charters. It has …

How Guidesly built AI-generated trip reports for outdoor guides on AWS Read More »

Skills in Chrome let you discover, save and remix AI workflows — and repeat them instantly. ​ 

Agentic AI is transforming how organizations use generative AI, moving beyond prompt-response interactions to autonomous systems that can plan, execute, and complete complex multi-step tasks. While early proof of concepts in Agentic AI spaces excite business stakeholders, scaling them to production requires addressing scalability, governance, and security challenges. Amazon Bedrock AgentCore is an Agentic AI …

Spring AI SDK for Amazon Bedrock AgentCore is now Generally Available Read More »

Google is bringing people together in Washington D.C. at our AI for the Economy Forum. ​ 

Building effective reward functions can help you customize Amazon Nova models to your specific needs, with AWS Lambda providing the scalable, cost-effective foundation. Lambda’s serverless architecture lets you focus on defining quality criteria while it handles the computational infrastructure. Amazon Nova offers multiple customization approaches, with Reinforcement fine-tuning (RFT) standing out for its ability to teach …

How to build effective reward functions with AWS Lambda for Amazon Nova model customization Read More »

Amazon Bedrock regularly releases new foundation model (FM) versions with better capabilities, accuracy, and safety. Understanding the model lifecycle is essential for effective planning and management of AI applications built on Amazon Bedrock. Before migrating your applications, you can test these models through the Amazon Bedrock console or API to evaluate their performance and compatibility. …

Understanding Amazon Bedrock model lifecycle Read More »

Now available through Amazon Bedrock AgentCore, use AWS Agent Registry to discover, share, and reuse agents, tools, and agent skills across your organization. As enterprises scale to hundreds or thousands of agents, platform teams face three critical challenges: visibility (knowing what agents exist across the organization), control (governing who can publish and what becomes discoverable …

The future of managing agents at scale: AWS Agent Registry now in preview Read More »

When you build AI-powered applications, your users must understand and trust AI agents that navigate websites and interact with web content on their behalf. When an agent interacts with web content autonomously, your users require visibility into those actions to maintain confidence and control, which they don’t currently have. The Amazon Bedrock AgentCore Browser BrowserLiveView …

Embed a live AI browser agent in your React app with Amazon Bedrock AgentCore Read More »

Stateful MCP client capabilities on Amazon Bedrock AgentCore Runtime now enable interactive, multi-turn agent workflows that were previously impossible with stateless implementations. Developers building AI agents often struggle when their workflows must pause mid-execution to ask users for clarification, request large language model (LLM)-generated content, or provide real-time progress updates during long-running operations, stateless MCP …

Introducing stateful MCP client capabilities on Amazon Bedrock AgentCore Runtime Read More »

Today, we’re sharing how Amazon Bedrock makes it straightforward to customize Amazon Nova models for your specific business needs. As customers scale their AI deployments, they need models that reflect proprietary knowledge and workflows — whether that means maintaining a consistent brand voice in customer communications, handling complex industry-specific workflows or accurately classifying intents in …

Customize Amazon Nova models with Amazon Bedrock fine-tuning Read More »