# Amazon Quick Suite

Published articles for Amazon Quick Suite.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## Improving HCLS AI reasoning with open-source agent skills

DevFeed: [Improving HCLS AI reasoning with open-source agent skills](<https://devfeed.tech/articles/improving-hcls-ai-reasoning-with-open-source-agent-skills-31521.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/machine-learning/improving-hcls-ai-reasoning-with-open-source-agent-skills/>)

Author: Michael Hsieh

Published: 2026-09-16T19:00:00Z

Content type: article

Language: en

Sources: [Artificial Intelligence](<https://devfeed.tech/sources/artificial-intelligence.md>)

Topics: [Agent Skills](<https://devfeed.tech/topics/agent-skills.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [foundation-models](<https://devfeed.tech/topics/foundation-models.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Bioinformatics](<https://devfeed.tech/topics/bioinformatics.md>), [Medical imaging](<https://devfeed.tech/topics/medical-imaging.md>)

Tags: [agent-skills](<https://devfeed.tech/tags/agent-skills.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [amazon-bedrock](<https://devfeed.tech/tags/amazon-bedrock.md>), [amazon-quick-suite](<https://devfeed.tech/tags/amazon-quick-suite.md>), [announcements](<https://devfeed.tech/tags/announcements.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [foundation-models](<https://devfeed.tech/tags/foundation-models.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [healthcare](<https://devfeed.tech/tags/healthcare.md>), [healthcare-and-life-sciences](<https://devfeed.tech/tags/healthcare-and-life-sciences.md>), [intermediate-200](<https://devfeed.tech/tags/intermediate-200.md>), [kiro](<https://devfeed.tech/tags/kiro.md>), [life-sciences](<https://devfeed.tech/tags/life-sciences.md>), [medical-imaging](<https://devfeed.tech/tags/medical-imaging.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [strands-agents](<https://devfeed.tech/tags/strands-agents.md>)

### AI overview

This post presents 38 open-source agent skills spanning 11 healthcare and life sciences domains. The skills encode domain decision procedures for AI agents, and the reported evaluation found a 70-86% head-to-head win rate over agents without the skills.

### Source excerpt

AI agents on foundation models often misapply healthcare and life sciences decision frameworks, citing the right guideline but applying it incorrectly. This post shares 38 open-source agent skills across 11 HCLS domains that close this gap, with installation steps, three worked use cases, and a 410-prompt evaluation showing a 70-86% win rate.

## AWS Weekly Roundup: OpenAI GPT-6 Astra on Amazon Bedrock, Amazon Quick desktop GA, Kiro for students, and more (September 14, 2026)

DevFeed: [AWS Weekly Roundup: OpenAI GPT-6 Astra on Amazon Bedrock, Amazon Quick desktop GA, Kiro for students, and more (September 14, 2026)](<https://devfeed.tech/articles/aws-weekly-roundup-openai-gpt-6-astra-on-amazon-bedrock-amazon-quick-desktop-ga-kiro-for-students-and-more-september-14-2026-20786.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/aws/aws-weekly-roundup-openai-gpt-6-astra-on-amazon-bedrock-amazon-quick-desktop-ga-kiro-for-students-and-more-september-14-2026/>)

Author: Micah Walter

Published: 2026-09-14T15:56:33Z

Content type: news

Language: en

Sources: [AWS News Blog](<https://devfeed.tech/sources/aws-news-blog.md>)

Topics: [Amazon Bedrock](<https://devfeed.tech/topics/amazon-bedrock.md>), [Frontier Model](<https://devfeed.tech/topics/frontier-model.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [context window](<https://devfeed.tech/topics/context-window.md>), [browser](<https://devfeed.tech/topics/browser.md>), [ChatGPT](<https://devfeed.tech/topics/chatgpt.md>), [codex](<https://devfeed.tech/topics/codex.md>), [macOS](<https://devfeed.tech/topics/macos.md>), [Windows](<https://devfeed.tech/topics/windows.md>), [Mobile](<https://devfeed.tech/topics/mobile.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [amazon](<https://devfeed.tech/tags/amazon.md>), [amazon-bedrock](<https://devfeed.tech/tags/amazon-bedrock.md>), [amazon-elastic-block-store-amazon-ebs](<https://devfeed.tech/tags/amazon-elastic-block-store-amazon-ebs.md>), [amazon-opensearch-service](<https://devfeed.tech/tags/amazon-opensearch-service.md>), [amazon-quick-suite](<https://devfeed.tech/tags/amazon-quick-suite.md>), [aws](<https://devfeed.tech/tags/aws.md>), [aws-lambda](<https://devfeed.tech/tags/aws-lambda.md>), [aws-outposts](<https://devfeed.tech/tags/aws-outposts.md>), [aws-transform](<https://devfeed.tech/tags/aws-transform.md>), [bedrock](<https://devfeed.tech/tags/bedrock.md>), [browser](<https://devfeed.tech/tags/browser.md>), [chatgpt](<https://devfeed.tech/tags/chatgpt.md>), [codex](<https://devfeed.tech/tags/codex.md>), [context-window](<https://devfeed.tech/tags/context-window.md>), [frontier-model](<https://devfeed.tech/tags/frontier-model.md>), [google-play](<https://devfeed.tech/tags/google-play.md>), [gpt](<https://devfeed.tech/tags/gpt.md>), [kiro](<https://devfeed.tech/tags/kiro.md>), [launch](<https://devfeed.tech/tags/launch.md>), [macos](<https://devfeed.tech/tags/macos.md>), [mobile](<https://devfeed.tech/tags/mobile.md>), [openai](<https://devfeed.tech/tags/openai.md>), [week-in-review](<https://devfeed.tech/tags/week-in-review.md>), [windows](<https://devfeed.tech/tags/windows.md>)

### AI overview

This AWS Weekly Roundup highlights the general availability of OpenAI GPT-6 Astra on Amazon Bedrock, describing its reasoning, writing, design, computer-use, browser-use, and million-token context-window capabilities. It also covers the Amazon Quick desktop app for macOS and Windows, including synchronized conversations and agents across desktop and mobile, plus other AWS launches and updates.

### Source excerpt

There's a particular energy to mid-September in New York. Pumpkin spice lattes are flowing, temperatures are dropping, and it's nearly sweater weather. The city is back at full speed, and so is the AWS launch calendar. This week that energy showed up in a new frontier model on Amazon Bedrock, a desktop app for Amazon [...]

## Automate replenishment with MMF, Databricks Genie, and Amazon Quick

DevFeed: [Automate replenishment with MMF, Databricks Genie, and Amazon Quick](<https://devfeed.tech/articles/automate-replenishment-with-mmf-databricks-genie-and-amazon-quick-21547.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/machine-learning/automate-replenishment-with-mmf-databricks-genie-and-amazon-quick/>)

Author: Venkatavaradhan Viswanathan

Published: 2026-09-14T15:42:06Z

Content type: article

Language: en

Sources: [Artificial Intelligence](<https://devfeed.tech/sources/artificial-intelligence.md>)

Topics: [databricks](<https://devfeed.tech/topics/databricks.md>), [Amazon S3 Tables](<https://devfeed.tech/topics/amazon-s3-tables.md>), [Amazon S3](<https://devfeed.tech/topics/amazon-s3.md>), [Automation](<https://devfeed.tech/topics/automation.md>), [foundation-models](<https://devfeed.tech/topics/foundation-models.md>), [API](<https://devfeed.tech/topics/api.md>)

Tags: [advanced-300](<https://devfeed.tech/tags/advanced-300.md>), [amazon-quick-suite](<https://devfeed.tech/tags/amazon-quick-suite.md>), [amazon-s3](<https://devfeed.tech/tags/amazon-s3.md>), [amazon-s3-tables](<https://devfeed.tech/tags/amazon-s3-tables.md>), [api](<https://devfeed.tech/tags/api.md>), [automation](<https://devfeed.tech/tags/automation.md>), [databricks](<https://devfeed.tech/tags/databricks.md>), [foundation-models](<https://devfeed.tech/tags/foundation-models.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [retail](<https://devfeed.tech/tags/retail.md>), [technical-how-to](<https://devfeed.tech/tags/technical-how-to.md>)

### AI overview

This technical walkthrough presents an unattended replenishment workflow for retail. Databricks Many Model Forecasting uses Chronos-2 to predict seven-day demand for each SKU, Databricks Genie detects demand surges, and Amazon Quick reconciles those surges with supplier availability in Amazon S3 Tables. The workflow places routine purchase orders through a Supplier Order API and escalates cases without a suitable single supplier for human review.

### Source excerpt

Foundation models made catalog-wide demand forecasting easy; the hard part is now acting on the forecast. This post builds a closed detect-decide-act loop on Databricks and Amazon Quick that reconciles demand surges against live supplier availability and places replenishment orders unattended, escalating to a human only when no supplier can cover a surge.

## Amazon Quick is now generally available on desktop

DevFeed: [Amazon Quick is now generally available on desktop](<https://devfeed.tech/articles/amazon-quick-is-now-generally-available-on-desktop-4725.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/machine-learning/amazon-quick-is-now-generally-available-on-desktop/>)

Author: Spencer Martenson

Published: 2026-09-10T18:16:37Z

Content type: release

Language: en

Sources: [Artificial Intelligence](<https://devfeed.tech/sources/artificial-intelligence.md>)

Topics: [App](<https://devfeed.tech/topics/app.md>), [AWS CloudTrail](<https://devfeed.tech/topics/aws-cloudtrail.md>), [dashboards](<https://devfeed.tech/topics/dashboards.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [amazon](<https://devfeed.tech/tags/amazon.md>), [amazon-quick-suite](<https://devfeed.tech/tags/amazon-quick-suite.md>), [android](<https://devfeed.tech/tags/android.md>), [announcements](<https://devfeed.tech/tags/announcements.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [aws](<https://devfeed.tech/tags/aws.md>), [aws-cloudtrail](<https://devfeed.tech/tags/aws-cloudtrail.md>), [compliance](<https://devfeed.tech/tags/compliance.md>), [dashboards](<https://devfeed.tech/tags/dashboards.md>), [ios](<https://devfeed.tech/tags/ios.md>), [macos](<https://devfeed.tech/tags/macos.md>), [security](<https://devfeed.tech/tags/security.md>), [shadow-ai](<https://devfeed.tech/tags/shadow-ai.md>), [windows](<https://devfeed.tech/tags/windows.md>)

### AI overview

Amazon Quick's desktop application is generally available on macOS and Windows. The article describes its enterprise AI-assistant features, mobile activity feed, shared workspace, AWS-based privacy and auditing, and compliance support.

### Source excerpt

Your teams get an AI assistant that handles real work while your data stays in your environment and your conversations stay private Today, the Amazon Quick desktop application is generally available on macOS and Windows. We're also adding a new activity feed to the mobile experience on iOS and Android that consolidates email, calendar, CRM, [...]

## Build an end-to-end RFI questionnaire workflow using Amazon Quick Automate

DevFeed: [Build an end-to-end RFI questionnaire workflow using Amazon Quick Automate](<https://devfeed.tech/articles/build-an-end-to-end-rfi-questionnaire-workflow-using-amazon-quick-automate-4729.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/machine-learning/build-an-end-to-end-rfi-questionnaire-workflow-using-amazon-quick-automate/>)

Author: Chaytanya Kumar

Published: 2026-09-10T16:08:57Z

Content type: tutorial

Language: en

Sources: [Artificial Intelligence](<https://devfeed.tech/sources/artificial-intelligence.md>)

Topics: [Automation](<https://devfeed.tech/topics/automation.md>), [Amazon S3](<https://devfeed.tech/topics/amazon-s3.md>), [CSV](<https://devfeed.tech/topics/csv.md>), [Amazon Web Services](<https://devfeed.tech/topics/aws.md>), [datasets](<https://devfeed.tech/topics/datasets.md>)

Tags: [advanced-300](<https://devfeed.tech/tags/advanced-300.md>), [amazon-quick-suite](<https://devfeed.tech/tags/amazon-quick-suite.md>), [amazon-s3](<https://devfeed.tech/tags/amazon-s3.md>), [amazon-simple-storage-service-s3](<https://devfeed.tech/tags/amazon-simple-storage-service-s3.md>), [automation](<https://devfeed.tech/tags/automation.md>), [aws](<https://devfeed.tech/tags/aws.md>), [data](<https://devfeed.tech/tags/data.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [technical-how-to](<https://devfeed.tech/tags/technical-how-to.md>), [tutorial](<https://devfeed.tech/tags/tutorial.md>)

### AI overview

A tutorial for automating RFI questionnaire processing with Amazon Quick Automate. It reads multi-tab workbooks from Amazon S3, extracts and structures questions, and writes CSV output to Amazon S3.

### Source excerpt

Learn how to build an end-to-end RFI questionnaire workflow with Amazon Quick Automate. Read a multi-tab RFI workbook from Amazon S3, use natural-language prompts to extract and structure the questionnaire data, refine the workflow through conversation, and write clean CSV output back to Amazon S3 -- cutting development from days to hours.

## Automate user-level custom permissions for Amazon Quick

DevFeed: [Automate user-level custom permissions for Amazon Quick](<https://devfeed.tech/articles/automate-user-level-custom-permissions-for-amazon-quick-4727.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/machine-learning/automate-user-level-custom-permissions-for-amazon-quick/>)

Author: Ashok Dasineni

Published: 2026-09-09T15:45:24Z

Content type: tutorial

Language: en

Sources: [Artificial Intelligence](<https://devfeed.tech/sources/artificial-intelligence.md>)

Topics: [Authorization](<https://devfeed.tech/topics/authorization.md>), [AWS Lambda](<https://devfeed.tech/topics/aws-lambda.md>), [IAM Identity Center](<https://devfeed.tech/topics/iam-identity-center.md>), [Script](<https://devfeed.tech/topics/script.md>)

Tags: [amazon-eventbridge](<https://devfeed.tech/tags/amazon-eventbridge.md>), [amazon-quick-suite](<https://devfeed.tech/tags/amazon-quick-suite.md>), [api](<https://devfeed.tech/tags/api.md>), [automation](<https://devfeed.tech/tags/automation.md>), [aws-iam-identity-center](<https://devfeed.tech/tags/aws-iam-identity-center.md>), [aws-lambda](<https://devfeed.tech/tags/aws-lambda.md>), [batch](<https://devfeed.tech/tags/batch.md>), [cli](<https://devfeed.tech/tags/cli.md>), [intermediate-200](<https://devfeed.tech/tags/intermediate-200.md>), [python](<https://devfeed.tech/tags/python.md>), [technical-how-to](<https://devfeed.tech/tags/technical-how-to.md>)

### AI overview

This tutorial presents four ways to automate user-level custom permissions in Amazon Quick: setting permissions during user registration, applying account or role defaults, using EventBridge and Lambda for group-based logic, and running retroactive batch updates.

### Source excerpt

Amazon Quick custom permissions let you enforce least-privilege access by toggling features per user. This post walks through four patterns to automate custom permissions across the user lifecycle: a RegisterUser API parameter, account and role defaults, event-driven Amazon EventBridge and AWS Lambda automation, and a retroactive batch update script.