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FRIDAY, 11 SEPTEMBER 20261,710 channels on the wireFree edition

AI & Tools desk — breakout report

Inside Clay's Eval Stack: 300M Agent Runs, One LangSmith Pipeline

LangChain's upload has reached 10.7K views — about 4.4× the ≈2.4K this channel typically draws at the same age.

Key facts

  • •4.4x LangChain's own 90-day median — this channel normally draws about 2.4K views at the same age.
  • •10.7K views so far, published 14 days ago.
  • •Category: Science & Technology · Language: en · Quality: HD
  • •"Breakout" is measured against this exact channel's trailing 90-day median at matching video age — not a generic niche average.

Updated 2026-08-28 22:30 UTC

Video thumbnail: Inside Clay's Eval Stack: 300M Agent Runs, One LangSmith Pipeline
Watch on YouTube ↗ · LangChain · 203K subscribers

View trajectory

Views this upload has gathered since it published, last measured about 168h in — from our own tracking.

0h 7d after publish 10.7K views

Published Aug 28, 2026 · 14 days ago. How breakouts are measured →

From the creator

Jeff Barg (Head of AI), Vyshu Khota (ML Engineer), and Soroush Khadem (Software Engineer) at Clay break down how they built and scaled Claygent and Sculptor, Clay's go to market research and engineering agents. They cover the eval philosophy that keeps agentic changes safe to ship, why they moved to a data lake…

Category: Science & Technology · Language: en · Quality: HD

Topics: Knowledge

Tags: Clay, Claygent, Sculptor, AI agents, agent evals, LLM evaluation, LangChain, LangSmith, production AI agents, go to market agent, agentic engineering, LLM as judge

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