Three hidden costs of running 24/7 AI agents and how to reduce them

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Running AI agents around the clock is often marketed as passive automation, but practitioners warn it quietly drains attention, compute resources, and review time. Keeping unused tools connected to an agent inflates costs, as each idle server adds charges on every request cycle. Constant notifications from agents can erode focus rather than improve productivity, and batching reports into a single daily digest is recommended as a structural fix. Honest review of agent output requires dedicated time, and skipping that step simply defers the work rather than eliminating it. The authors suggest using a second adversarial agent to sample and reject the first agent's output, making audits cheaper and more reliable than continuous oversight.

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