Category: FAANG

This post shows how to deploy a multimodal WhatsApp ordering assistant built with Amazon Bedrock AgentCore and Amazon Nova 2. Many quick-service restaurants spread ordering across an app, a website, a phone line, and the counter. Each of those is a separate system to build and run. Each one also fragments the customer’s history, making …

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When Google’s Finance Engineering team needed to modernize their legacy data layer, they chose Spanner, a globally distributed, strongly consistent, multi-model database with high availability capabilities. But migrating to Spanner without taking production services offline was a daunting engineering challenge: As the internal team responsible for the application, we needed to manually rewrite dual-write logic …

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I’ve spent close to a decade watching this industry build conversational AI, first through Chatbots Life, then running the Chatbot… Continue reading on Chatbots Life »

Engineering teams adopting the AI-Driven Development Lifecycle (AI-DLC) with Amazon Bedrock AgentCore and coding agents like Kiro often struggle with the gap between conceptual frameworks and working code. Amazon Bedrock AgentCore is a service for building, connecting, and optimizing agents at scale with any framework or model. AI-DLC positions AI as a central collaborator across …

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Australian teams working with OpenAI models can now access the latest OpenAI models through Amazon Bedrock. Amazon Bedrock offers OpenAI GPT-5.6 Sol, Terra, and Luna with global cross-Region inference from both Asia Pacific (Sydney) and Asia Pacific (Melbourne) AWS Regions in Australia. Your application calls the Amazon Bedrock Runtime endpoint in Asia Pacific (Sydney) or …

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Today, we’re excited to announce the availability of Claude Fable 5.1 on Amazon Bedrock and Claude Platform on AWS. Claude Fable 5.1 delivers frontier intelligence for ambitious tasks across coding, scientific research, and enterprise workflows. Given its capabilities, Anthropic has designated Fable 5.1 a Covered Model, a category of Claude models that carry additional data …

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Model Context Protocol (MCP) servers allow foundation models to access external data and tools, supporting standardized, secure access to files, databases, and APIs. They give AI agents the ability to interact with real-world applications, reduce hallucinations with accurate context, and offer stateful, multi-turn capabilities. Industry-standard architectures quickly evolved and adopted MCP to power agentic AI …

Read more “Connect an AgentCore Runtime hosted MCP server to Amazon Quick”