Previewing Interrupt 2026: Agents at Enterprise Scale

Interrupt 2026 focuses on scaling AI agents for enterprise use, featuring industry leaders like Andrew Ng and Harrison Chase to discuss moving từ proof-of-concept to production.

Last May, 800 of you came to The Midway in San Francisco for the inaugural Interrupt conference. Teams from Cisco, Uber, J.P. Morgan, Replit, LinkedIn, and BlackRock got on stage and told the truth about what it actually takes to put agents in production. We launched LangSmith Deployment, shipped a redesigned LangSmith Studio, and rolled out new observability tools in LangSmith.

If you were there, you know the energy. If you weren't, here’s a taste of what you missed:

This year, we're doing it again. Interrupt 2026 is May 13–14 at The Midway in San Francisco, and the lineup, the format, and the scale have all leveled up.

2026 is about agents at enterprise scale

Last year's question was "can agents work in production?" The answer, across dozens of talks, was a definitive yes. This year's question is different: how do you make them work at enterprise scale — and what does the team, the tooling, and the infrastructure look like when agents aren't a proof of concept anymore?

Interrupt 2026 is about the how. How are the largest companies in the world building agent platforms? How are they evaluating performance when the stakes are high? How are they structuring teams around agent engineering as a discipline? And how is the ecosystem — from model providers to infrastructure — evolving to support what comes next?

Keynotes and fireside chats with

Harrison Chase, Co-founder and CEO of LangChain, will open each day of Interrupt with a keynote on what we've learned from working with thousands of teams shipping agents over the past year, where our products are headed, and predictions about the industry.

Andrew Ng, founder of DeepLearning.AI and one of the most influential voices in AI, will share his view on what's coming next for agents, and what it means for the developers and teams building them today.

Chirantan “CJ” Desai, CEO of MongoDB, will sit down with Harrison for a fireside chat on how the world's largest enterprises are building with agents, and what the data layer looks like when agents move from experiments to production systems.

**Aaron Levie, **Co-founder and CEO of Box, the intelligent content management platform he launched in 2005 is a vocal advocate for AI-driven enterprise software and frequently writes and speaks on how organizations can use AI agents to transform workflows.

What you'll hear from the stage

We're bringing teams who are deep in production and running agents at real scale with real consequences. Here's a preview of what's on the agenda:

Lyft is talking about evals and how they are building evals around their specific product policies, user flows, and edge cases with LangSmith. Nick Ung from Lyft's Safety and Customer Care team will walk through how they built an evaluation system that actually tells them whether their agents are working, and how they close the feedback loop between failed traces, their ops team, and engineering.

Apple is sharing how they built a low-code agent platform serving 15,000+ employees. Their team rethought how LangGraph constructs graphs at runtime to support dynamic, low-code agent building at a scale that required rearchitecting assumptions about graph construction, caching, and context management.

**LinkedIn **is presenting a solution to one of the biggest problems today: recruiting. Recruiting is one of the most time-intensive workflows in any organization—especially for small and mid-size businesses without dedicated hiring teams. LinkedIn's engineering team tackled this head-on by building an AI recruiting agent with LangSmith and LangGraph. Now thanks to their recruiting agent, the team is hiring 10x faster.

You'll also hear production stories from the world’s largest enterprises including Toyota, LATAM Airlines, and Honeywell, along with tech-native companies including Coinbase, Chime, Rippling, monday.com, and Clay.

Beyond the talks

Interrupt hosts two full days designed around learning, building, and connecting.

AMAs with product leaders. Sit down with our engineers building LangSmith, Deep Agents, LangGraph, and LangChain. Ask them anything — about the roadmap, about your architecture, about the problem you've been stuck on for weeks. Last year's product announcements came out of conversations exactly like these, and we expect this year to be no different.

Demo stations. Get hands-on with the latest across the LangSmith platform. The demo area spans the entire front patio and serves as the central hub of the conference, a place to see what's new, try things out, and talk to the engineers who built them.

Workshops. Go deeper with hands-on sessions led by LangChain engineers. We’ll cover topics like building Deep Agents, as well as improving agents using LangSmith Align Evals and Insights Agent. These are designed to be practical. Bring your laptop and leave with tactics you can actually use.

Time with speakers. One of the best parts of last year was the hallway conversations. This year we've built even more space for that. You’ll be able to meet with many speakers after their talks at our Ask Me Anything booth.