Chicago LangChain x Focused Meetup: Featuring Harrison Chase
Join us in Chicago on June 22nd for an evening of LangChain and Focused insights, AI talks, and community connections!
First, United Airlines AI engineers Nathan Swan and Ish Ramesh will discuss how they built an agentic system using Deep Agents to accelerate spec-driven development, helping teams move from requirements and planning to deployed applications.
Then, Harrison Chase will join Austin Vance from Focused for a conversation on what it takes to move agents from promising demos to reliable production systems. They’ll discuss why the next phase of agent development depends on stronger architectures, harnesses, evals, and runtime systems, not just better models.
Featuring:
Harrison Chase
Co-Founder & CEO, LangChain
Austin Vance
CEO & Co-Founder, Focused
Austin Vance is the CEO and Co-Founder of Focused, a software consultancy specializing in enterprise agent engineering, AI systems, and custom software development. Austin works closely with organizations to architect, build, and operationalize AI solutions that integrate with existing business systems and workflows.
Nathan Swan
AI Engineer, United Airlines
Ish Ramesh
Generative AI Engineer, United Airlines
Agenda ⏰
6:00 PM – 6:30 PM
Food, Drinks & Networking
6:30 PM – 7:00 PM
United Airlines Engineering Presentation
Presented by Nathan Swan and Ish Ramesh
7:00 PM – 7:30 PM
Fireside Chat with Harrison Chase and Austin Vance on Deep Agents and Managed Deep Agents
7:30 PM – 8:30 PM
Networking, Drinks & Community Discussions
Event Details:
🚪Doors open at 6:00 PM for networking, food, and drinks. Programming begins at 6:30 PM.
📍 Location: West Loop – address provided upon approval.
🎟️All attendees must register in advance and check in upon arrival.
🚗For detailed directions, parking information, building access instructions, and arrival guidance, please review our visitor guide.
About the hosts:
LangChain powers the full agent development lifecycle — building, testing, deploying, and monitoring — so AI teams can improve their agents systematically. LangSmith Engine accelerates this cycle, automatically surfacing and fixing issues to improve agents over time. LangSmith is neutral by design, so teams can customize their own stack to optimize on cost and performance as the landscape evolves. More than 7,000 customers, including Nvidia, Bridgewater, LinkedIn, Workday, Harvey, and Rippling trust LangSmith to build and manage their agents. Learn more: www.langchain.com
Focused is LangChain's consulting partner for enterprise agent engineering. Our team of senior engineers helps organizations design, build, and operationalize AI systems that integrate with the applications, data, and workflows that run their business. From enterprise deployments to evaluation and observability strategies, we work alongside engineering teams to bring AI capabilities into real-world environments. As active builders in the LangChain ecosystem, we help organizations leverage technologies like LangGraph and LangSmith to build reliable, scalable AI systems.