You bought the agent to get time back. Here is why your calendar filled up instead (+ the five prompts that fix it.)
The work agents create has no name, no owner, and no line on any dashboard — and learning to manage this work is starting to decide who gets promoted.
TL;DR
- The human work required to run AI agents is often invisible, unmeasured, and unacknowledged in job descriptions, budgets, or performance reviews.
- The cost of errors with agents can be significant and immediate, as demonstrated by a case where nine seconds of execution cost thirty hours.
- The way work is organized around agents differs across scales (individuals, small businesses, large enterprises), impacting who absorbs the costs and the overall results.
- Cheaper execution can paradoxically create more work due to the Jevons effect, and current dashboards are measuring the wrong metrics.
- Enterprises are more likely to achieve better returns because they can afford to build the necessary management layer for agents.
- Five prompts are provided for managing agents without duplicating their work, focusing on defining tasks, desired outcomes, agent permissions, verification, and error correction.