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Multi-agent chaos is a design problem. Here are the patterns that tame it.

Param Harrison
Cofounder, AEOsome.com · Chief Mentor, learnwithparam.com
Multi-agent systems fall apart fast. Agents step on each other, context leaks between them, one agent's failure cascades into the next, costs spike with every hand-off. This session walks the architecture patterns that keep multi-agent systems shippable: supervisor-worker boundaries, message shapes that do not balloon context, isolation for failure containment, and the eval approach that actually covers orchestrated systems.