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#Amazon Quick Suite
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  1. AWS Machine Learning Blog

    Making Amazon Quick enterprise-ready: Automated, auditable cross-account resource promotion

    中文摘要

    将 Amazon Quick 的资源（代理、操作连接器、知识库、流程和空间）从开发环境推广到生产环境 AWS 账户一直是一个手动且容易出错的过程。本文展示了如何通过在 Amazon Bedrock AgentCore 上使用可重复、可审计的 MCP 服务器来实现跨账户的自动化推广。

    英文原文

    Promoting Amazon Quick resources (agents, action connectors, knowledge bases, flows, and spaces) from a development to a production AWS account has been a manual, error-prone chore. This post shows how to automate cross-account promotion with an idempotent, auditable MCP server on Amazon Bedrock AgentCore.

  2. AWS Machine Learning Blog

    Downgrading user roles in Amazon Quick

    中文摘要

    Amazon Quick 并没有直接的控制台路径将用户从管理员或作者降级为读者。本文将介绍两种可靠的方法：一种是手动删除并重新创建的方法，另一种是使用 AWS CLI 的降级步骤，该步骤可以安全地降级角色，同时保留资产的所有权。

    英文原文

    Amazon Quick doesn't offer a direct console path to downgrade a user from Admin or Author to Reader. This post walks through two reliable methods: a manual delete-and-recreate approach and an AWS CLI step-down sequence that downgrades roles safely while preserving asset ownership.

  1. AWS Machine Learning Blog

    Sweep thousands of leases for compliance using Amazon Quick and the Adjudicated Query pattern

    中文摘要

    已裁定查询模式将Amazon Quick聊天代理与受约束的MCP服务器通过确定性规则引擎配对，以提供可证明完整且有据可依的合规性答案。本文将逐步介绍参考架构和可部署的AWS CDK示例，以租赁合规性为例进行说明。

    英文原文

    The Adjudicated Query pattern pairs the Amazon Quick chat agent with a bounded MCP server over a deterministic rules engine to deliver provably complete, defensible compliance answers. This post walks through the reference architecture and a deployable AWS CDK sample, using lease compliance as the running example.

  2. AWS Machine Learning Blog

    Serve live, governed data in AI-built apps with Amazon Quick

    中文摘要

    在 Amazon Quick 中，使用实时数据的应用程序，AI 构建的应用程序会实时查询您受控的 Quick Sight 数据集，而不是静态的、在构建时拍摄的快照。每次查询都会以查看应用程序的人员身份运行，因此行级和列级的安全性会根据每个读者进行应用。了解如何使用自然语言构建、发布和共享实时数据应用程序。

    英文原文

    With Live Data in Apps in Amazon Quick, AI-built apps query your governed Quick Sight datasets in real time instead of static, build-time snapshots. Each query runs as the person viewing the app, so row-level and column-level security apply per reader. Learn how to build, publish, and share a live-data app using natural language.

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