Shows a concrete, evidence-based blueprint for standing up a company-wide AI agent in a week by building on an open-source harness instead of a bespoke stack — useful reference architecture for teams facing the same build-vs-adopt decision.
A LangChain case study describing how Stripe's AI platform team built Kai, an internal 'Knowledge AI Platform' agent used by every employee, on top of LangChain's open-source Deep Agents harness.
It details Kai's layered architecture (Deep Agents core, a Stripe-specific security/infra harness, and a configuration layer for custom agent personas) and how it connects to Stripe's data warehouse, Slack, and Google Suite via a library of over 1,000 skills contributed by 100+ teams.
Transcript
"My @Stripe career is divided into before and after Kai."
Stripe built Kai, their Knowledge AI Platform, with Deep Agents in one week with just one engineer.
Here’s the full story: https://t.co/CIFbtJ46fQ
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