Building an AI app can now take just minutes. With developer tools like the AI SDK, teams can build both AI frontends and backends that accept prompts and context, reason with an LLM, call actions, and stream back results. But going to production requires reliability and stability at scale. Teams that connect directly to a single LLM provider for inference create a fragile dependency: if

For over a decade, Vercel has helped teams develop, preview, and ship everything from static sites to full-stack apps. That mission shaped the Frontend Cloud, now relied on by millions of developers and powering some of the largest sites and apps in the world. Now, AI is changing what and how we build. Interfaces are becoming conversations and workflows are becoming

We’re updating Vercel’s Pro plan to better align with how modern teams collaborate, how applications consume infrastructure, and how workloads are evolving with AI. Concretely, we’re making the following changes: A flexible spending model: Instead of discrete included allotments across 20+ infra products, we’re transitioning to a flexible