AI models enable some new and powerful capabilities, but we still need to think of them as functions in larger logical systems, rather than a sort of end-state for software. AI-integrated programs should be built just like any other program: by relating small semantic tasks to each other in order to automate a larger task. Right now, the main problem preventing developers from running 10-20 AI modules on a single user request is an infrastructure one, and that’s what we’re solving. Large companies like Google have built internal infrastructure and SDKs to enable this, but we’re offering this capability to any developer.