LangChain CEO argues companies must own their agent harness to truly own their AI intelligence
“The main job of a harness is to bring context to the model at the right point in time.”
Harrison Chase
CEO · LangChain
LangChain CEO, agent orchestration ecosystem leader
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What Harrison has said
LangChain CEO outlines a five-stage agent lifecycle: build, test, deploy, monitor, govern
“getting something that works, you know, initially locally or in a one-off on a Twitter demo is easy, but like shipping it reliably to 100 of users at scale, the difficulty becomes down down to like the performance and the behavior of the agent”
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Enterprise AI adoption lags because knowledge work lacks the verifiability, technical users, and open data access that make AI coding agents succeed.
“The big question is when and how do we get these full, agentic workflows deployed across the rest of knowledge work?”