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Webinar

Road to Replay: From Chat to Docs with Agentic AI

March 31, 2026 at 9am PT/12pm ET

Stale documentation leads to repetitive support questions. Learn how Nordstrom built a "self-healing" system using long-running Temporal agents that monitor Slack threads, identify knowledge gaps, and automatically generate Merge Requests. See how Nordstrom orchestrates ambient agents that capture lost knowledge and transform support channels into a continuous documentation improvement engine.

Key takeaways

Join this webinar to learn:

  • How to architect an automated feedback loop connecting support channels (Slack) to documentation repositories using Temporal and LLMs.
  • Techniques for using AI to extract structured knowledge, corrections, and code examples from unstructured chat history.
  • Implementing "agentic" workflows that manage long-running processes, from thread monitoring to Pull Request creation.


Can't join the live session? Register anyway, and we'll send the recording to your inbox.

Presenter

Jin Liu

Data Scientist II
Nordstrom

About the presenter 

Jin Liu is a Data Scientist II at Nordstrom, where he currently focuses on AI enablement. Over nearly five years with the company, he has built deep expertise across digital product analytics and personalization recommendation systems before transitioning into AI. Prior to Nordstrom, Jin gained experience across finance, healthcare, and consulting. He holds a master's degree in Business Analytics from Southern Methodist University in Dallas, TX.

Presenter

Ethan Ruhe

AI Product Lead
Temporal Technologies

About the presenter 

Ethan Ruhe is the AI Product Lead at Temporal, where he helps some of the world's most talented developers - including those at OpenAI, Scale AI, and Replit - orchestrate and scale their AI agent workflows. Prior to Temporal, Ethan was a founder and has held product roles at a number of high-growth startups. He earned his MBA with a focus in Statistics from The Wharton School and completed graduate computer science work at Georgia Tech, focused on Machine Learning.

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