Anyone can build agents, but it takes a platform to run them

This post details Vercel's internal data agent, d0, and how it runs on Vercel's agent orchestration platform. It highlights the use of Sandboxes for secure execution of arbitrary Python code and SQL generation, Fluid Compute for automatically scaling agent workloads and managing costs, and AI Gateway for routing model calls across providers to balance cost and accuracy. It also mentions the AI SDK for handling model calls and the Vercel Workflows for durable orchestration with retries and state recovery. The post emphasizes that the platform primitives enable rapid development and reliable operation of AI agents.