Building agents should feel like shaping an idea rather than fighting a maze of code or infrastructure. And we've seen this story before. A decade ago, the web moved from hand‑rolled routing and homegrown build scripts to opinionated frameworks and a platform that understood what developers were trying to do. Velocity went up, quality followed, and a generation of products appeared as if overnight. AI is following the same arc, but the stakes and surface area are larger because what you build is no longer a set of pages. It is a system that intelligently reasons, plans, and acts. Built on the foundations of Framework-defined Infrastructure, Vercel AI Cloud provides the tooling, infrastructure primitives, developer experience, and platform to bypass the complexity. You focus entirely on what you're building, with confidence in what's powering it under the hood.

Agents and agentic AI give developers new ways to move faster and build better. They create connected, autonomous systems that continuously improve applications and raise the bar for speed and quality. But typically, integrating AI services means managing separate dashboards, billing systems, and authentication flows for each tool. A team using three different AI services might waste hours wiring up each integration before writing a single line of application code. Today, we're introducing the AI agents and services category to the Vercel marketplace. You can now add AI-powered workflows to your projects through native Vercel integrations with unified billing, observability, and installation flows built into the platform.

Building reliable software shouldn't require mastering distributed systems. Yet for developers building AI agents or data pipelines, making async functions reliable typically requires message queues, retry logic, and persistence layers. Adding that infrastructure often takes longer than writing the actual business logic. The Workflow Development Kit (WDK) is an open source TypeScript framework that makes durability a language-level concept. It runs on any framework, platform, and runtime. Functions can pause for minutes or months, survive deployments and crashes, and resume exactly where they stopped.

The same ease of use you expect from Vercel, now extended to your backends. Since we introduced the AI Cloud at Vercel Ship, teams have been building AI applications that go beyond simple prompt-to-response patterns. These apps orchestrate multi-step workflows, spawn sub-agents, and run processes that take hours or days. They need backends that process data, run inference, and respond to real-time events. You can now deploy the most popular Python and TypeScript backend frameworks with zero configuration. Vercel reads your framework and automatically provisions the infrastructure to run it.

We're launching Vercel Agent, an AI teammate for your development workflow. Vercel Agent uses AI, deep platform expertise, your application code, and telemetry data from across Vercel to help you ship faster with higher quality. Starting today, Vercel Agent is available in Public Beta with two core skills: Code Review and Investigations.

At Vercel, our philosophy is to take ownership for, not blame, our vendors. Customers use our services to gain velocity, reliability, and ship wonderful products. Whether we picked A or B as one of the components of our “circuit design” is entirely our responsibility. Vercel is fully accountable for this incident, even if it's now public that it was triggered by the unexpected outage of AWS us-east-1 (called iad1 region). Vercel uses AWS infrastructure primitives, is part of the AWS marketplace, offers secure connectivity to AWS services, and shares a long history with AWS of pioneering serverless computing. To our customers, Vercel is unequivocally responsible for this outage. Our goal is to simplify the cloud and offer its best version. Through framework-defined infrastructure, we help developers focus on the application layer by deploying global infrastructure resources that are highly optimized. We operate our Compute, CDN, and Firewall services across 19 AWS regions, terminating and securing traffic in 95 cities and 130+ global points of presence. Yesterday, we fell short of this promise. While a significant amount of traffic was still served, and we shielded customers from the exposure to a single global point of failure, our ambition is to enable customers to never drop a single request, even in the event of an outage.

Every generation of software moves interfaces closer to where people think and work. Terminals gave way to GUIs. GUIs gave way to browsers. And now, the interface is language itself. Conversation has become the most natural way to build, explore, and decide. At the center of this shift is a new pattern: the AI agent. Today, software doesn’t have to wait for clicks or configuration, but understands user intent, reason about it, and takes action. The question for enterprises isn’t if they’ll adopt agents, but where those agents will live. Our answer: where work already happens. That’s why Vercel and Salesforce are partnering to help teams build, ship, and scale AI agents across the Salesforce ecosystem, starting with Slack. Together, we’re bringing the intelligence and flexibility of the Vercel AI Cloud to the places teams collaborate every day.

When OpenAI announced the Apps SDK with Model Context Protocol (MCP) support, it opened the door to embedding web applications directly into ChatGPT. But there's a significant difference between serving static HTML in an iframe and running a full Next.js application with client-side navigation, React Server Components, and dynamic routing. This is the story of how we bridged that gap. We created a Next.js app that runs natively inside ChatGPT's triple-iframe architecture, complete with navigation and all the modern features you'd expect from a Next.js application.

As AI reshapes how software is built and deployed, the surface area for attacks is growing rapidly. Developers are shipping faster than ever, and we’re seeing new code paths, new threat models, and new vulnerabilities. That’s why I’m excited to share that Talha Tariq is joining Vercel as our CTO of Security. Talha brings deep expertise in security at scale, having served as CISO & CIO at HashiCorp for seven years before becoming CTO (Security) at IBM following its acquisition. There, he oversaw security across all IBM divisions including software, AI, and post-quantum cryptography.

For teams on Vercel, Black Friday is just another Friday. The scale changes, but your storefronts and apps stay fast, reliable, and ready for spikes in traffic. Many of the optimizations required for peak traffic are already built into the platform. Rendering happens at the edge, caching works automatically, and protection layers are on by default. What’s left for teams is refinement: confirming observability is set up, tightening security rules, and reviewing the dashboards that matter most. Last year, Vercel created a live Black Friday Cyber Monday dashboard that showcased our scale in real-time, showing the spikes. Overall, from Friday to Thursday, Vercel served 86,702,974,965 requests across its network, reaching a peak of 1,937,097 requests per second. Helly Hansen, a major technical apparel brand, entered the weekend with this confidence. Before the event, they moved from client-heavy rendering to Vercel’s CDN and saw:

Independent developer Theo Browne recently published comprehensive benchmarks comparing server-side rendering performance between Fluid compute and Cloudflare Workers. The tests measured 100 iterations across Next.js, React, SvelteKit, and other frameworks. The results showed that for compute-bound tasks, Fluid compute performed 1.2 to 5 times faster than Cloudflare Workers, with more consistent response times.

Today, Vercel announced an important milestone: a Series F funding round valuing our company at $9.3 billion. The $300M investment is co-led by longtime partners at Accel and new investors at GIC, alongside other incredible supporters. We're also launching a ~$300M tender offer for certain early investors, employees, and former employees. To all the customers, investors, and Vercelians who have been on this journey with us: thank you.