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Vanta and LangSmith: Assessing Compliance Evidence Like an Auditor
"I can finally find the data that I want without having to fight my tooling." Zheng Tao, Senior AI Engineer at Vanta, is building a capability that helps assess compliance evidence the way an auditor would. With other vendors and Vanta's own in-house tooling, she would spend 10 minutes trying to find a trace and give up. She explains how LangSmith observability lets her look through traces with full text search and metadata fields, and why she's a big fan of LangSmith evaluations, especially the Align Evaluators feature, which forces you to have an opinion and label your ground truth as good or bad. Chapters: 0:00 Assessing compliance evidence and trying to find traces 0:23 LangSmith observability with full text search and metadata fields 0:41 LangSmith evaluations and the Align Evaluators feature 1:04 Why LangSmith gets it Resources: → LangSmith: https://www.langchain.com/langsmith → Align your LLM-as-judge evaluators: https://docs.langchain.com/langsmith/improve-judge-evaluator-feedback → Filter and search traces: https://docs.langchain.com/langsmith/filter-traces → Vanta: https://www.vanta.com
How Stripe Built Kai
What if everyone had an always-on, production-ready assistant? At Stripe, their answer was a company-wide AI agent called Knowledge AI Platform, also known as Kai. In less than 2 minutes, learn how Stripe built Kai in just 1 week using Deep Agents, LangChain's open-source agent harness. Deep Agents provides the foundation that wires together the tool-calling loop, middleware composition, streaming, and state management that would otherwise take months to build and harden from scratch. Learn more: Blog (10 min read) → https://www.langchain.com/blog/how-stripe-built-their-knowledge-ai-platform-on-deep-agents Introduction to Deep Agents (Free course) → https://academy.langchain.com/courses/foundation-introduction-to-deepagents Intro to Deep Agents Virtual Workshop (Recording) → https://events.langchain.com/intro-to-deep-agents-101/ Intro to Deep Agents Live Workshop (Register) → https://events.langchain.com/register/apac-anz-agent-harnesses-and-deep-agents-workshop/
Why You Think the Frontier Model Is Always Better (It's Psychology)
Eno Reyes, CTO of Factory, argues that once people know which model they're using, their preferences fly toward frontier models regardless of actual performance — and that this psychological bias, not raw capability, explains a lot of the last few months in AI. At enterprise scale, he says, the cost math will eventually win out over the brand name. From the Max Agency podcast, hosted by Harrison Chase, Co-Founder and CEO of LangChain. #AI #OpenSourceAI #FactoryAI #AIagents
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