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Webinar

Simplifying Context Engineering for AI Agents in Production

October 21, 2025 at 9am PST/12pm EST

Context Engineering is critical for making useful, production-ready agents.

In this webinar, we'll explain common context engineering challenges and how Temporal makes them simpler to solve, giving you practical strategies for building agents that are more reliable, focused, and adaptable in real-world use.

Key takeaways

Join this webinar to learn:

  • Common context engineering struggles.
  • Managing context with Temporal: providing context, gathering the right data, focusing agents with tools, managing memory.
  • Frameworks for setting agent goals and keeping them on track.
  • How to bring it all together in a live demo.


Can’t make the live session? Register now to get the recording sent to your inbox.

Presenter

Cornelia Davis

Senior Staff Developer Advocate
Temporal Technologies

About the presenter 

Cornelia has spent a career at the forefront of technological innovation, starting with image processing algorithm development, moving to web-centric computing in the late 1990s, and then more than a decade working in cloud-native software and DevOps platforms. As a Developer Advocate for Temporal, she is now helping to drive the expansion of the “durable execution” distributed systems paradigm.

She is the author of Cloud Native Patterns: Designing change tolerant software.

Presenter

Josh Smith

Staff Solutions Architect
Temporal Technologies

About the presenter 

Josh Smith is a Staff Solutions Architect at Temporal, where he helps enterprise financial services and ecommerce teams design and develop resilient, reliable systems. He began his career as a C developer and has held roles ranging from development team lead to chief architect, with deep experience in infrastructure and developer operations.

Prior to Temporal, Josh brought his expertise to companies like S&P Global and Red Hat. His favorite part of the job is helping developers succeed with Temporal and build software they’re proud of.

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