Keynote
The final actor is shifting from human to machine. Software acts on behalf of users, writes itself, and needs to understand its own behavior in production. This new generation of agentic software demands Agentic Infrastructure.
Talk
Discover how BLACKBOX AI moved to Vercel to build a faster, more cost-efficient, and secure foundation for agentic AI. We’ll explore what drove the migration, how the team approached the technical journey, and how Vercel’s AI infrastructure supports open-source inference, end-to-end encryption, and enterprise-scale traffic without compromising performance.
Talk
Getting agents running is half the battle. Making them performant and continuously improving across thousands of sessions is much more challenging. This talk covers how to do it with Claude Managed Agents running on Vercel's agentic infrastructure, including best practices for optimizing agentic performance in production.
Fireside chat
Muse, the world's first personal AI agent built for everyone, runs on Vercel, alongside Meta AI and other Meta Superintelligence Labs projects. Hear how Meta and Vercel are building together at the frontier of AI, and take away lessons you can apply to your own projects tomorrow.
Talk
Last year was about Agents at Work.This year, we built our own.Meet V, Vercel’s super intelligent custom agent. See how we built it, what we learned, and how you can build your own.
Talk
How do you serve 168 models through one integration and stay reliable at 3M+ requests a day? Adapta, the team behind Brazil's largest generative AI platform, did exactly that on AI Gateway and the Vercel Platform. Hear how they built an app-level router that picks the right model per request in under 200ms, wired up automatic failover and per-user budgets, and kept reliability climbing as traffic spiked. A practical look at the architecture decisions behind running frontier models at scale.
Talk
How do you build in an AI-first world? Learn the agentic patterns shipping to production across hundreds of engineering teams, from self-correcting agents to multi-agent orchestration, built on AWS and Vercel. See how Vercel's BYOC on AWS delivers platform speed with full VPC control.
Talk
Mercor connects domain experts with frontier AI labs, generating the human data used to train and evaluate leading models. Behind the platform, hundreds of business users build the apps their work depends on, and engineering teams tap a wide range of open-weight and closed models. The challenge: doing both without the business losing track of what's shipping, who has access, and what it costs. See how Mercor, with Vercel, built a managed identity layer every app inherits by default and gained full observability into who is spending and where, on a foundation that scales to the agents it's building next.
Talk
Learn how SpaceXAI's `.grok.me` surface runs 300k+ subdomains and 125M monthly Edge Requests on Vercel. Understand the infrastructure powering Grok and, most importantly, use Grok to ship.
Demo
Vercel isn't just for frontends anymore. With Fluid Compute and Framework-Defined Infrastructure, you can deploy real backends, FastAPI, Express, NestJS, from a single git push. In this session we will ship a full-stack app live: frontend, backend, and database, all in one workflow.
Workshop
Build an agent into a Next.js application that works with application data and generates interactive tools. This 40-minute workshop brings together Codex and Vercel Sandbox for a focused, end-to-end demonstration.
Talk
See how Notion uses Vercel's primitives to build a platform designed for both developers and AI agents.
