Lenny: Let me pull on this AI thread because it's clearly top of mind for a lot of people. Paige Costello: Yeah. Lenny: How do you think about splitting up investment in AI exploration within the product team? Are you like, "Hey, team. Everyone should be thinking about AI as part of their product," or is it there's a team where they're going to think about AI and LLM integrations and, "Everyone else, keep doing what you're doing?" Paige Costello: We've had an ML team for quite some time, making sure that we have test prioritization models and notification prioritization models, and are making our product less work for people to use. But when it came to the massive leap forward in LLMs recently, we staffed a team to really prototype quickly, and discover what was possible, and just apply hypotheses outside of the typical norms of how we work. So they went straight to prototyping instead of going through that Double Diamond I was explaining earlier. What that meant was that we were really quickly able to say, "Wow, this is just so much better than we imagined and would never have prioritized it because we thought it would take so much longer." Then, in other cases, "That sounded good in theory."
Everyone should be thinking about AI as part of their product," or is it there's a team where they're going to think about AI and LLM integrations and, "Everyone else, keep doing what you're doing?" Paige Costello: We've had an ML team for quite some time, making sure that we have test prioritization models and notification prioritization models, and are making our product less work for people to use.