Notes from LangChain Interrupt 2026 conference, where companies like Lyft, Toyota, LATAM, Monday.com, and Box shared lessons from running AI agents in production. Key themes: observability must come before deployment (LangSmith as mandatory infrastructure), context management is the top architectural challenge (fewer tools beat large catalogs), evals are becoming the new CI/CD with compliance teams co-authoring them, cost is a first-class engineering concern (prompt caching, bounded retries, adaptive throttling), and workflow redesign delivers 20-50% gains vs. incremental automation. Toyota cut agent deployment from 6 months to 4 days by building a platform first. The consensus: the hard part is no longer building agents but operating them reliably at scale.
Table of contents
Demos are Easy. Operating is the Job.Observability is Not Optional. It's the Foundation.Context Management is the Architectural Problem of the Year.Evals are Becoming the new CI/CD.Cost is on the Architecture Diagram.Workflow Redesign Beats Workflow Automation.Enterprise Adoption is Still Hard, and that is the Real Opportunity.What I've Taken Back to Client Conversations.Working with 8th Light.Sort: