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How to ThinkIn the Age of AI

Question

What is agent lifecycle management?

beginner

Quick Answer

Every agent is created, deployed, maintained, and eventually retired.

Example: You build a morning review agent — a daily protocol that scans your task list, checks calendar conflicts, and surfaces your top three priorities before you open email. For six months it works flawlessly. Then you change roles, your calendar tool changes, and the agent starts producing irrelevant output. You don't have a broken agent. You have an agent that has reached the maintenance-or-retire decision point in its lifecycle. Recognizing this is a lifecycle event — not a personal failure — lets you respond with precision: update the inputs, redesign the protocol, or retire it cleanly and build its successor.

This concept is part of Agent Lifecycle in the How to Think curriculum.

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