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Build AI agent workflows that stick: Vercel’s practical blueprint

Build AI agent workflows that stick: Vercel’s practical blueprint

AI agents can unlock real leverage—but without the right trigger, tight scope, and clear guardrails, they often stay stuck as one-off experiments instead of workflows teams rely on.

Join us for this webinar to learn a practical blueprint for building agent workflows that stick, including how to avoid context overload and where to put human-in-the-loop checkpoints to keep outcomes trustworthy. We’ll be joined by Brian Emerick, Technical Program Manager at Vercel, who’ll share what worked (and didn’t) in Vercel’s early days and the repeatable patterns they use to scale adoption.

You'll learn how to

  • Spot the adoption blockers early (rigid formats, too many intake questions, unclear ownership) and course-correct fast.
  • Design an agent experience people will actually use by keeping questions lightweight and outputs structured (not overwhelming).
  • Make agent outcomes trustworthy at scale by implementing human-in-the-loop guardrails

발표자

  • Holly Avery
    Holly AveryProduct Marketing, Notion
  • Brian Emerick
    Brian Emerick기술 PM, Vercel

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