Amazon Quick proof-of-concept projects often stall when security teams review the production plan. This post walks through designing dashboards, Spaces, knowledge bases, agents, and Flows with security controls that hold as you scale: dataset shaping, agent isolation, document classification, and approval gates.

In this post, you will learn how to deploy and host your MCP server in AgentCore Runtime and integrate it with Amazon Quick, along with the prerequisites. With this pattern, you promote reusability and avoid duplication of AI tools, so clients can reuse commonly used tools and agents exposed through an MCP server instead of authoring them from scratch again. Your customers get a way to use your product inside Amazon Quick (chat agents and workflows) without building custom connectors for every use case.

Build a governed weekly reporting workflow with Amazon Quick Desktop and Amazon FSx for NetApp ONTAP. An Amazon S3 access point exposes an approved folder to a Quick knowledge base, and a custom skill drafts cited weekly reports and Slack summaries with human review before anything is shared.

Amazon Quick embedded chat brings a conversational AI interface into your web application. This post walks through customizing the embedded chat with container and SDK styling, branding removal, and a custom agent persona so it matches your brand's look, feel, and voice.

In this post, we walk through what Dataset Enrichment is, how it differs from legacy Topics, and provide three migration scenarios with step-by-step guidance so you can move your business context into the dataset layer with confidence.

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.

Brien Posey walks first-time users through Amazon Quick -- Amazon's agentic AI platform -- covering its two pricing tiers, a mandatory $250/month infrastructure fee, a 30-day free trial option, and the step-by-step account setup process required before accessing the main interface.

Amazon Quick is now available directly inside Microsoft Word, Excel, PowerPoint, and Outlook. These extensions bring connected data access and agentic document editing into the Microsoft 365 apps your teams already use, so you can analyze data, draft content, and reach enterprise knowledge without switching applications.

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 […]

Amazon Quick desktop app launched April 28, indexing local files and building a personal knowledge graph across Google Workspace, Microsoft 365, and Salesforce.

Amazon Quick desktop app launched April 28, indexing local files and building a personal knowledge graph across Google Workspace, Microsoft 365, and Salesforce.

Amazon Quick desktop app launched April 28, indexing local files and building a personal knowledge graph across Google Workspace, Microsoft 365, and Salesforce.

Amazon Quick desktop app launched April 28, indexing local files and building a personal knowledge graph across Google Workspace, Microsoft 365, and Salesforce.

Amazon Quick desktop app launched April 28, indexing local files and building a personal knowledge graph across Google Workspace, Microsoft 365, and Salesforce.

Amazon Quick desktop app launched April 28, indexing local files and building a personal knowledge graph across Google Workspace, Microsoft 365, and Salesforce.

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Brien Posey shows how Amazon Quick makes it surprisingly easy to build a custom enterprise chatbot -- walking through the agent creation prompt, the fine-tuning interface, and the data source and reasoning options available before connecting the chatbot to organizational data in Part 2.