Navigating the Multi-Agent Trap
Learn about the risks that come with multi-agent systems, and how to reduce failure surface area, improve coordination and institute better cost controls.
What You'll Learn
Why reliability math works against you at scale – and how to build better genAI systems
The three most common architecture patterns – and why each breaks with genAI
How to diagnose the most common genAI failure modes that standard tooling misses
How to bridge the gap between infrastructure health and workflow correctness
Who Should Attend
This webinar is designed for engineering leads, AI/ML practitioners, and technical decision-makers responsible for deploying generative AI in production environments. If you're building AI-powered features, managing model performance, or scaling inference workloads, this session will provide actionable frameworks you can implement immediately.
Whether you're shipping your first AI feature or optimizing an existing system, you'll leave with practical strategies to improve reliability, reduce costs, and accelerate iteration cycles.