AI Superstream: Agent Orchestration—Managing multi-agent workflows for reliable and resilient AI systems
by Vicki Reyzelman, Matt McLarty, Ayo Adedeji, Tendü Yoğurtçu, Susanna Holt, Sumeet Jeswani, Luis Sanchez, Tatyana Mamut, Cornelia Davis
Overview
The shift away from single-prompt interactions with AI models to multi-agent systems is the next frontier in AI development and usage. Moving from one “do-it-all” model to a swarm of specialized agents requires more than just better prompts—it requires a robust orchestration layer. Managing handoffs, resolving conflicting outputs, and maintaining state across complex loops is where the real engineering begins.
Join industry pros who’ll share the insights they’ve gathered from working in the trenches where agent orchestration best practices are taking shape. Learn about the current state of the art for multi-agent systems and what these experts on the front lines imagine the future holds for the orchestration of multi-agent systems.
What you’ll learn and how you can apply it:
- Learn how to engineer “router” agents that intelligently delegate tasks and manage feedback loops between specialized workers
- Explore techniques for monitoring agent behavior, preventing infinite loops, and ensuring cost-effective execution
- Hear from lead engineers on how they transitioned from brittle “chains” to resilient, self-correcting agentic architectures
Recommended follow-up:
- Read AI Agents: The Definitive Guide (early release book)
- Read Building AI Agent Platforms (early release book)
- Read Hands-On Small Language Models (early release book)
- Read GenAI on Google Cloud (book)
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