the technology that exists tomorrow. And I think that the theme of this moment is very much an evergreen one, right? It's AI started with a surge of personal productivity, right? The LLMs completed what I type and the agents go fetch me the thing that I need. And now I have many agents helping me to parallelize myself. But the greatest value doesn't come from multiplying me into more me. It comes from enabling groups of people to do more. That's always been true. And we're thinking about how to accomplish that through two lenses. Every industrial revolution came about through automation, right? It's funny to think about our giant software industry as being pre-industrial, but on some level it is because until now the only automations that we had were heuristics like make sure there's a semicolon at the end of every line. But now AI can help us to automate things that require some amount of basic judgment and intelligence. And there's no magic trick to making great software, right? It costs time. And we can buy that time by automating away the things that we used to need to do manually. Like the more we automate, the more time we have to spend on craft or on our product or on making it really good or on features, right? Either you hire more people or you automate away part of what your people are currently doing in order to spend that time. And at the same time, how are we going