Multi-agent AI looks great in demos until you have to support it at 3 AM. Orchestration is rarely about clever prompts and mostly about managing messy failures
Forget the multi-agent hype. In production, these systems are just distributed technical debt. I have seen recursive tool-call loops bring down downstream services in seconds
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Multi-agent systems look great in demos, but production is a headache. Once you scale, you hit endless tool-call loops that bleed your tokens dry. I am breaking down how to move past the hype to build agents that do not stall under real load.
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Multi-agent systems fail when they hit a tool-call loop. Orchestration is just distributed systems engineering. Stop chasing autonomy. If you cannot trace state transitions between agents, you are waiting for a production incident your logs cannot explain
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Moving multi-agent systems to production is harder than the demos suggest. I’m breaking down the reality of these workflows—specifically how to kill infinite tool-call loops before they incinerate your latency budget and your API spend.
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