Two LinkedIn engineers who introduce themselves on stage as 'Grace' and 'Chok' (the agenda lists the speakers as Shang Liu and Tracy He) describe how they built hiring agents …
In a fireside chat with Harrison Chase, Box CEO Aaron Levie lays out why agents are far easier in coding than in the rest of knowledge work: code is verifiable so ROI is prova…
In a Day 2 fireside chat, MongoDB President & CEO Chirantan 'CJ' Desai joins Harrison Chase to discuss how data fits into the agentic era.
Janie Lee, VP Product at Abridge, describes building AI for healthcare on a clinical intelligence platform that turns each patient-clinician conversation into a clinically use…
Omri Bruchim of Monday.com presented "Building Deep Agent Sidekick" — how Monday.com builds an embedded, deep-agent assistant into its work-management platform.
Evan Kormos, an engineering manager at Coinbase, tells the story of how a small developer-support engineering team went from zero to one on a self-improving, customer-facing A…
Carlos Pereira, Cisco Fellow and Chief Architect for Customer Experience, recounts how Cisco evolved its agent system over the past year from a chatbot foundation into a 'team…
Brendan McManus, Michael Ran, and Santi Weight from Bridgewater (systematic macro investing) present Pat, the AI Pocket Analyst — an internally deployed agent that performs ho…
Harrison Chase and Ankush Gola's Day 1 keynote introduces 'deep agents' as LangChain's agent harness that supercharges the core agent loop with batteries-included capabilities.
Only the closing seconds of the Day 2 keynote were captured, in which the speaker invites attendees to try a newly added free model that is open source and powered by LangChai…
In a fireside chat with Harrison Chase, Andrew Ng (Founder, DeepLearning.AI) reflects on the rapid evolution of coding agents and how he now builds with small, high-context ge…
Nick Ung, who leads data science for safety and customer care at Lyft, explains how his team builds evals for AI Assist, Lyft's customer care AI agent product.
Ben Tannyhill and Vivek Trivedy of LangChain walk through how they built LangSmith Engine, positioned as the future of agent observability, evaluation, and autonomous agent im…
LATAM Airlines shared how they apply intelligent agents across aviation operations — a use-case-driven look at deploying agents in a large, safety-critical transport business.
Sydney Runkle (open source engineer) and a LangChain colleague (Victor Moreira, with a co-presenter referred to as Nick) introduce Managed Deep Agents, launching as a private …
Rippling's engineering team shared lessons from building Rippling AI across their HR, IT, and finance platform — practical takeaways on shipping agentic features in a broad en…
An engineer at Chime (the US consumer fintech with 9.5 million members) describes how the team built 'Jade,' an always-on agentic financial co-pilot built on deep agents, and …
The conference host opens Day 1 of Interrupt 2026, framing the year's theme: last year's question was whether agents work in production, and this year the answer is yes.
Carlos Pereira (Cisco) follows up on his Day 1 talk to show how Cisco observes and tests its customer-experience agents at production scale, across both a renewals team and te…
Photo gallery from LangChain Interrupt 2026 — venue, the Day 1 keynote launches (Deep Agents, Context Hub, LLM Gateway, SmithDB, LangSmith Engine, Platform), Managed Deep Agents, and case studies from Cisco and Toyota.
Quick digest of every LangChain Interrupt 2026 session — keynotes, product launches, case studies, and fireside chats.
A product deep-dive on the seven things LangChain shipped at Interrupt 2026 — Deep Agents 0.6, Managed Deep Agents, LangSmith Sandboxes (GA), Context Hub, LLM Gateway, SmithDB, and LangSmith Engine — with what each is, why it matters, who it's for, and where to learn more.
Mukil Loganathan (Engineering Manager, LangChain) argues that agents are now writing real code across software engineering, data analysis, security pen-testing, and browser/co…
Jeff Barg, Head of AI at Clay, presented on scaling go-to-market (GTM) agents — applying agentic systems to sales and marketing data enrichment and outbound workflows.
Derrick Kondo of Etsy walked through taking the Etsy Gifting Assistant from prototype to production — an agentic shopping/gifting experience on the marketplace.
Kordel France and Ravi Chandu Ummadisetti of Toyota describe how they built an internal AI platform that ships agents in weeks instead of months, and draw a sustained analogy …
In the closing session, Shreya Shankar (UC Berkeley) and Hamel Husain (Parlance Labs) make the case for 'the return of the data scientist' — bringing a scientific, data-first …