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.
Demo
Companies use Ora to find out whether their website works for AI agents, and the way Ora answers is by sending real agents onto the site to sign up, integrate, and pay, then tracing every step. Hear how the Ora team built an agent fleet on eve, what hundreds of real agent journeys show about where websites break, and see Is-Agentic score a live site.
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
This presentation will explore how SAP is revolutionizing its approach to generative interfaces and compositional services, with a particular focus on the pivotal role of Vercel's technologies including v0, Eve, and json-render. Phil will delve into the transformative impact of AI on software design and delivery, demonstrating how SAP is navigating the complexities of maintaining consistent interfaces and adhering to stringent government standards in an AI-driven landscape.
Talk
In 2016, a database built to manage web analytics at scale was open sourced, and thousands of companies were running it in production before there was a company behind it. Five years later, that project became ClickHouse, Inc. Today, the platform spans real-time analytics, observability, AI engineering, and managed Postgres.In this talk, ClickHouse co-founder Yury Izrailevsky explores why the next decade of data will be built the same way. As the data stack consolidates, open source creates a compounding advantage: earning developer trust, opening adjacent markets, and increasingly becoming infrastructure that frontier models recommend unprompted. Yury will share the unglamorous lessons behind that playbook, including what it takes to keep three acquired communities genuinely open, and why the answer keeps returning to the same principle: give more away and keep things open.
Panel
What changes when intelligence becomes fast enough to sit inside an everyday interaction? Join Vercel, TypeSafe AI, and Cerebras for a conversation about inference speed, model behavior, and the experience of building responsive AI applications. The panel brings application infrastructure, model development, and compute into the same discussion.
Fireside chat
People have long been the audience for the software we build. What happens when agents become customers too? Tobias Lütke and Guillermo Rauch discuss the implications for commerce, application design, and the relationship between developers and the users—human or machine—on the other side of an interface.
