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Saved February 14, 2026
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The article discusses how to create reusable agents that streamline management tasks, reducing micromanagement and improving clarity. It provides a practical example of an Event Run-of-Show agent that guides team members through planning steps, ensuring nothing is overlooked. The author shares their approach to building these agents using ChatGPT.
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In 2025, the author returned to work postpartum, facing new demands on their time and energy. They identified three key management insights: micromanagement only becomes apparent post-factum, ambition isn't enough without effective systems, and most management issues arise from flawed processes or performance. Implementing these ideas led to growth as a manager, primarily through the use of "agents"βstructured tools designed to streamline task completion without constant oversight.
An agent isn't a generic AI assistant but a set of instructions that guide users through specific tasks. The article illustrates this with an "Event Run-of-Show Agent." Instead of a vague planning document, this agent prompts users with targeted questions about various event logistics, ensuring nothing is overlooked. For instance, it asks about permits, VIP accommodations, and schedules, producing a comprehensive run-of-show that clarifies tasks and responsibilities. This method reduces back-and-forth communication and prevents gaps in planning.
The author details how they built this agent using ChatGPT, starting with a comprehensive list of event considerations and then converting that list into structured instructions for a Custom GPT. This approach transforms a checklist into an interactive tool that fosters clarity and accountability. The effectiveness of agents extends beyond event planning; they can also enhance project charters and process-heavy tasks by embedding institutional knowledge and standards, ultimately reducing frustration and improving feedback. By capturing and externalizing managerial judgment, agents allow managers to focus on strategy instead of getting bogged down in details.
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