How to Build AI Agents You Can Trust

How can you trust what an AI agent does? As they take on more complex tasks, the answer comes down to context: what the agent knows, where that knowledge comes from, and how reliably it can act on it. The way you feed them context becomes the deciding factor for reliability and performance.

Join us to learn how to build reliable, context-aware AI agents.

Our speakers will share their first-hand experiences, so you’ll learn:

• How context strategies for agents have evolved and what prompt engineering fundamentals are
• How to apply prompt engineering to tool use and function calling
• How to use knowledge bases, Retrieval-Augmented Generation (RAG), and graph databases to let agents reason over large, dynamic information
• How to navigate the agent lifecycle—from creation through observability and iterative refinement—to build confidence in agent behavior and outcomes
• How real-world customer use cases put these concepts into action so you can apply agent-driven solutions in your own projects

Register your spot today!