We invited from to share how they shipped durable workflows with their .Dylan JhaveriMux@mux/ai SDK AI workflows have a frustrating habit of failing halfway through. Your content moderation check passes, you're generating video chapters, and then you hit a network timeout, a rate limit, or a random 500 from a provider having a bad day. Now you're stuck. Do you restart from scratch and pay for that moderation check again? Or do you write a bunch of state management code to remember where you left off? This is where durable execution changes everything.

When we set out to build , an open-source SDK to help our customers build AI features on top of Mux's video infrastructure, we faced a fundamental question: how do we ship durable workflows in a way that's easy for developers to adopt, without forcing them into complex infrastructure decisions?@mux/ai The answer was Vercel's .Workflow DevKit Read more