

Free Lesson
How Product Teams Should Think About Multi-Agent Systems
30 min
Mar 2, 2026 11:00 AM
What you'll learn
What multi-agent systems actually are (in product terms)
Move beyond hype and understand agents as coordinated roles, not magic autonomy.
When multi-agent systems make sense and when they don’t
Identify product scenarios where multiple agents add real value versus unnecessary complexity.
Common product failures with multi-agent setups
Learn why many agent demos break in production (handoffs, loops, cost, and evaluation gaps).
How to design agent roles and boundaries
Define responsibilities, inputs, and outputs so agents stay predictable and testable.
How to evaluate multi-agent behavior as a product team
Think in terms of outcomes, reliability, and UX - not model internals.
Why this topic matters
Multi-agent systems are rapidly becoming a default pattern in AI demos, but most product teams adopt them without clear ownership, evaluation criteria, or user impact in mind. This session helps product teams reason about multi-agent design at the product level, focusing on user experience, reliability, and cost, before committing engineering resources.
You'll learn from

Aki Wijesundara, PhD
AI Founder | Educator | Google AI Accelerator Alum

Manu Jayawardana
Exited AI Founder (Rise AI: 35k Users) | Co-Founder of Krybe and Snapdrum.com
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