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 small.
Episode #992694 — open it directly at myweirdprompts.com/992694