LangChain
LangChain is a YouTube channel covering AI, data, product. Creating video content about AI, technology, and professional growth.
Profile generated by AI for Anything
The original title is: "Building a Production Agent Eval Pipeline: Harbor + LangSmith + OpenAI SDK"
15d
The best AI agents are secretly teams
19d
The original title is: "Introducing OpenWiki, an open source agent for repo documentation"
20d
The original title is "Harbor x LangChain: A Unified Stack for Evaluating Agents"
20d
How to use RLMs in Deep Agents
20d
The user wants me to rewrite a news headline for a mobile feed. Let me analyze the original title and summary.
20d
Building Reliable Speech-to-Speech Voice Agents: Combining Gemini Live + LangChain Deep Agents
21d
How LATAM Airlines Built Intelligent Agents in Aviation | Interrupt 2026
21d
The original title is "Dynamic Subagents: How to Run Parallel Agents Reliably in Deep Agents"
22d
Why Enterprise AI Adoption Is Slower Than You Think — Aaron Levie (Box) + Harrison Chase
22d
The original title is "How Monday.com Built Sidekick on Deep Agents | Interrupt 2026"
25d
What is an agent harness?
26d
How Clay runs 350 million GTM agents a month | Interrupt 26
27d
One model hallucinates during silence. So Sierra runs two. #Shorts
27d
The Agent for Your Agent.
27d
Turn Any LangGraph Agent Into a Voice Agent in Minutes
28d
Make Legal Write Your Evals: Building Jade, Chime’s Financial Copilot | Interrupt 26
29d
Benchling's Multi-Model Trick That Catches Errors Before Humans Do | Max Agency
29d
The best AI agents are simpler than you think
33d
The Future of AI Agents with Andrew Ng | Interrupt 26
34d
What Is a Sandbox? (And Why Every Agent Needs One) | Spill The Tea
34d
How Lyft Builds Evals That Actually Matter in Production | Interrupt 26
36d
Why AI Won't Cure Cancer by Thinking Harder | Max Agency
36d
Are Open Source Models Actually Ready for Production? | Spill The Tea
38d