Multi-agent systems look great in demos until they hit production. I have watched enough deployments collapse to know that agent orchestration is an observability nightmare
Multi-agent architectures sound elegant in demos, but they rarely survive the first production surge. When you chain autonomous agents, you trade reliability for massive complexity and invisible technical debt
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Multi-agent demos are slick, but production is a different beast. I’ve spent months debugging infinite tool-call loops that kill latency and burn budget
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**Description:** Demos don't show the infinite recursion that crashes multi-agent systems. I’m sharing the hard-learned lessons on stopping tool-call loops and keeping latency budgets stable when agents start talking to each other at scale
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Multi-agent systems in prod are brutal. I've seen enough infinite tool-call loops to know prompt tuning isn't enough. I’m sharing how to build stable workflows that survive real traffic. Let’s talk about the engineering to make agents reliable at scale.
Multi-agent production isn't just chaining LLMs; it's managing chaos. Teams lose weeks to infinite tool-call loops that wreck latency budgets. I’m sharing the architectural guardrails needed to keep your agents stable and truly production-ready.