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AI Agents in the Wild: Building, Scaling & Deploying in Production

Event artwork for AI Agents in the Wild: Building, Scaling & Deploying in Production

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About this event

What to expect

Discover how senior leaders from GitHub, Salesforce, and AWS are building and scaling production-grade AI agents at this high-signal evening event at Bellevue City Hall. Most teams have built an agent demo — very few have one running reliably in production. This event is designed for practitioners closing that gap.

What You'll Learn

This isn't about theory or hype. You'll hear directly from teams shipping real AI agents in production environments, navigating the challenges that emerge after the initial prototype phase. The focus is on evaluation frameworks, observability, session tracing, and the architectural decisions that separate working demos from scalable, reliable systems.

Learn why optimization, monitoring, and iteration loops become the real differentiators once agents are live — and get a clear view of where most agent projects stall: not at the model level, but at deployment and evaluation decision points.

Speaker Lineup

The evening features three deep-dive talks from leaders at the forefront of production AI:

  • Matt Nigh, Program Manager Director of AI at GitHub, will explore how developer workflows are being reshaped by agentic systems and what that means for teams building on or alongside GitHub's platform
  • Ran Fu, Director of AI Agent Product Management at Salesforce, will share practical insights on optimizing agents post-launch using evaluation frameworks and session traces
  • Raj Ganesh Jayaraman, Senior GenAI Solutions Architect at AWS, will tackle the challenges of running AI agents in production at scale

The session concludes with a panel discussion and audience Q&A, giving you direct access to ask questions about your own agent deployments.

Who Should Attend

This event is ideal for professionals building, deploying, or scaling AI agents and agentic workflows. If you're exploring production-ready AI systems across GitHub, Salesforce, and AWS ecosystems, or working on observability, tracing, and evaluation frameworks for AI applications, this is for you. Teams moving solutions from prototype to enterprise production, and organizations looking to improve reliability, scalability, and performance of AI-driven systems will find actionable insights.

Event Format

The evening begins with an hour of check-in and networking (4:30-5:30 PM), followed by three 30-minute talks (5:30-7:00 PM), and wraps with an hour-long panel discussion and Q&A (7:00-8:00 PM). Expect a focused, technical conversation with minimal

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