From the course: How to Be an Agent Boss: Leading AI Agents at Work
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Manage agents: Metrics, reviews, and lifecycle decisions
From the course: How to Be an Agent Boss: Leading AI Agents at Work
Manage agents: Metrics, reviews, and lifecycle decisions
Agents don't manage themselves, humans do. Managing agents means creating a feedback loop where you use metrics and judgment to keep them up to date and aligned with business goals. Let's start with metrics. Success isn't just about how many tasks an agent completes, it's about the impact. Let's think back to chapter one, where we use the BXT framework to define business impact and success measurements that align to your job to be done. Now let's track those to the new world, like organizing your metrics into four categories for agents. First, impact metrics, like cost savings, time saved, quality improvements, maybe even risk reduction. Second, performance metrics, how the agent runs operationally, like successful runs, average duration, accuracy. Thirdly, adoption metrics, like daily active users or usage frequency. And finally, user feedback, what qualitative insights and satisfaction scores look like. These are key as you continue to justify your AI investments in your business…
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