What is an AI agent’s work actually worth?
An agent’s serving cost and the value it creates are different questions. In this episode, Nate looks at how to find work worth paying for: the meeting nobody can resolve, the report everyone inherits, and the internal idea that needs a small working prototype.
The practical test is whether your agent creates clarity, saves meaningful effort, and produces a result you can point to. Include your own checking time and the full cost of the tools, then decide where more time or money makes sense.
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