A common pitfall in deploying AI agents has been identified: well-defined schedules within prompts are often ineffective because the underlying system lacks a mechanism to enforce them. This highlights a critical disconnect between declarative instructions and actual execution, as agents typically only respond to incoming events, not pre-defined time intervals. To avoid this, teams should implement explicit scheduling processes—like timers and polling—and separate the agent's conversational role from time-based actions.
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