Before buying a bigger computer for AI agents, find out what is consuming the machine you already have. Nate explains how to diagnose memory and storage pressure, give agents a stopping condition, and schedule demanding work around the resources available.
The episode covers the difference between cloud and local workloads, why more CPU cores do not translate directly into more agents, and how an old computer can become a useful dedicated agent machine. The aim is a more intentional hardware decision and a repeatable maintenance routine.
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