Quick is built differently. It lives on your laptop and is connected to everything you do—your local files, calendar, email, and the apps you already use.
🚀 Really excited to launch our new Amazon Quick desktop app that brings together all your work applications, tools, and data in one place—and you don't even need an AWS account to get started. https://lnkd.in/gEmeyxju Quick finds the smarter way to get work done. I've recently been using the desktop experience to prep for meetings. The AI assistant proactively pulls from my personal notes, business review docs, and email to give me the latest look into our product progress. Quick also makes collaboration easier with shared Spaces where dashboards, agents, automations, and knowledge compound across people — so the whole team can benefit from each other's work. It is starting to become the control plane for my work as it sorts through my emails, Slack and threads and decides which to act on. Whether you use Slack or Teams, Outlook or Gmail, Salesforce or ServiceNow, Asana or Jira, Quick works across all of them in a seamless way. You can use Quick to build custom apps, dashboards, and web pages connected to live data just by describing what you need in natural language. We're also expanding connectivity with new Microsoft 365 extensions that bring Quick directly into Outlook, Word, PowerPoint, and Excel, along with native integrations for Google Workspace, Zoom, Salesforce, and Microsoft Teams. A key innovation powering this is a dynamic personal context graph Quick builds from all this data so that it learns about who I work with and how I work: whether I like to use Slack or email when I talk to a specific colleague, or choosing the right Slack channel to send a message to when I say “Send this information to Quick leaders”. It's also great for software development teams as it integrates with Claude Code and Kiro CLI through ACP. Quick can automate browser-based workflows and connect to developer tools and coding agents. Ask Quick to pull information from a browser-based internal tool, analyze it with a local Python script, and paste results into a doc, all in a single request. Great to see the evolution of this big idea that started as a hallway conversation on my team at AWS. Customers like 3M, BMW, GoDaddy, Mondelēz, NFL, and Southwest Airlines are using Quick to accelerate their projects. Can't wait to hear how you'll take your work further with Quick.