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How Lyft Builds Evals That Actually Matter in Production | Interrupt 26
Building Frontier CX Agents | Interrupt 26
Observing And Testing CX Agents | Interrupt 26
Introducing LangSmith Engine
Interrupt 26: The Agent Conference by LangChain
Agents in the Enterprise with MongoDB | Interrupt 26
How To Build a Self-Improving Agent with LangSmith Engine and Context Hub
LangSmith Engine: Accelerate the Agent Development Lifecycle
Why We Built LangSmith for Improving Agent Quality
Introducing Managed Deep Agents | Interrupt 26
Make Legal Write Your Evals: Building Jade, Chime’s Financial Copilot | Interrupt 26
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Last Updated: October 27, 2026
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Summary
Until now, improving your agent has been a manual process of reading traces, looking for patterns, writing evals, and creating ... Harrison Chase, Brace Sproul, and Caroline di Vittorio kicked off Day 2 of Nick Ung, ML lead for safety and customer care at Lyft, breaks down how his team Most teams building agents today have traces. What they don't have is a clear answer to the question that actually matters: how ... Harrison Chase sits down with CJ Desai, CEO of MongoDB, for a fireside chat at Most agents don't learn from their mistakes, they just leave traces. Jake Broekhuizen walks through how to close that loop using ... Harrison Chase (CEO of LangChain) sits down with Bagatur ( At LangChain's agent conference Philipp Comans, software engineer at Chime, explains how his team
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