Free Lesson
Why Multi-Agent Systems Break, and How To Fix It
30 min
Nov 4, 2026 12:00 PM
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What you'll learn
See the failure modes a single agent doesn't have
Watch two independent runs land on different numbers, and see why that spread carries information a single run hides.
Bound what each agent is allowed to do
Learn how narrowing each agent's job makes the whole system easier to trust and cheaper to debug.
Check results before the system acts on them
See the verification the harness runs between steps, so one bad answer doesn't propagate through the system.
Why this topic matters
A multi-agent system has more ways to fail than a single call: agents drift off task, errors compound across steps, and independent runs disagree. The fix is engineering, not better prompts. This lesson covers where they break and the harness patterns that keep them reliable, from bounding each agent's job to checking results before they act, using the system built in the workshop.
