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How Modern Treasury Built AI Agents for Financial Payment Operations with LangGraph
Modern Treasury's AI Tech Lead shares how they built AI agents for payment operations using LangGraph, solving the unique challenges of financial workflows that demand auditability, human approvals...
How Harvey Built Reliable AI Agents with LangSmith & Custom Tools
Ben Liebald, who leads engineering at Harvey, discusses how they build and evaluate domain-specific AI for legal and professional services. He shares Harvey's approach to creating reliable AI syste...
How Outshift by Cisco achieved a 10x productivity boost with JARVIS, their AI Platform Engineer
Outshift by Cisco redefined platform engineering with JARVIS their GenAI-powered multi-agent system built on LangGraph. In this video, see how they eliminated developer wait times by automating CI/...
How Box Evolved from Simple AI to Agentic Systems for Enterprise | LangChain Interrupt
Box's CTO, Ben Kus, shares how their AI document extraction system hit a wall when customers brought real-world complexity—300-page documents, 500+ data fields, and OCR challenges that broke their ...
How Uber Built AI Agents That Save 21,000 Developer Hours with LangGraph | LangChain Interrupt
Hear from Sourabh Shirhatti and Matas Rastenis on Uber's Developer Platform Team in their LangChain Interrupt talk. They dive into how they're building agentic tools serving an organization of 5,00...
Learn How Monday.com Built Their AI Agent Workforce with LangGraph | LangChain Interrupt
Assaf Elovic, Head of AI at Monday.com, reveals how they achieved 100% month-over-month growth in AI usage while processing 1 billion work tasks annually. Learn why trust, not technology, is the bi...
Building Replit Agent V2 with LangSmith | LangChain Interrupt
Michele Catasta, President at Replit, joins Harrison Chase for an in-depth fireside chat about the evolution from Replit Agent V1 to V2 and the technical challenges of building autonomous coding ag...