How Slack uses Claude for AI search and summaries

1. SPSpeaker0:00

   [upbeat music] Some of the challenges we faced within Slack is traditionally information overload. One of our product principles is be a great host, and so one of the things we wanted to help people with from the beginning was actually distilling through the noise and actually figuring out what's important. [upbeat music] When AI emerged, we had some very clear problems we wanted to solve, and those were specifically search and then summarizing high volumes of information. So we started to experiment with it and with Claude in particular, and when we started to get our first search answers back, we saw like an immediate almost like mind meld with Claude. That was our first holy cow moment. The system automatically takes care of answering things for me, summarizes information for me, and that just gives me minutes every single day. We track a number of metrics throughout Slack. One is query success rate, and two is the number of users that self-report Slack as feeling noisy. We've seen one of our biggest improvements with both of those metrics.

2. SPSpeaker1:03

   Not only are we using Claude for some of our customer-facing features, but we're also using it with Claude Code to do things like fix bugs and really power teams internally to move faster. The limitation now is creativity and imagination. It's not really a question of how to build the thing. It's a question of what you wanna build. Now, I find myself spending a lot more time doing the planning and the architecture and less time actually coding up the solutions. There's a lot more deep thinking going on.

3. SPSpeaker1:34

   The benefits are largely time savings, and together with Claude, I think we can do something incredible to help people get even more throughout their days. This is the most excited I've been to be in technology in, in my entire career. [upbeat music]

Episode duration: 1:50