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When Adding One Agent Breaks Everything

Everyone assumes scaling multi-agent systems is about cost. It's not. In this episode, we break down the real constraints — latency compounding, silent failure propagation, and the brutal math of agent reliability budgets. Using a concrete podcast transcription pipeline as a case study, we explore why adding that one extra agent can corrupt your entire output, how parallelization changes the equation, and where human checkpoints actually belong. Real production data from a 2025 survey of 200 agentic systems reveals the median agent count is just seven — and why most teams are right to keep it…

The skinny

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