Managing several AI agents eats hours of my week. How do you design for the person supervising them?
A recent workplace survey found that almost half of people using two or more agents spend over a tenth of their working time switching tools, picking agents, checking outputs and sorting out conflicts between them. That is hours every week. How do you set up agent work so the human reviewing it is not the bottleneck?
Most supervision time goes into reading output that should never have reached you. If an agent hands over work that does not build, skips a requirement or contradicts another agent, the person ends up debugging instead of reviewing. Push those checks back onto the agents so what arrives is already verified.
Ask for evidence, not a summary. A handoff that includes the commands run, their output and a short list of what changed takes a minute to check. A handoff that says "all done, looks good" forces you to redo the work to trust it.
Add a review step that is not you. A separate reviewer agent that did not write the work catches the obvious problems first, so your time goes to judgment calls rather than typos and missing tests.
Give every piece of work one clear ending: merge it, open it for review, or throw it away. Half-finished branches and outputs from several agents piling up are what turn supervision into a second job.
Listings mentioned
- Requesting code review · skill by obraSends finished work to a separate reviewer subagent and fixes the critical issues before it reaches a person.
- Verification before completion · skill by obraMakes the agent show the commands it ran and their output before claiming work is done.
- Finishing a development branch · skill by obraEnds each piece of work with a clear choice to merge, open a pull request or discard, so nothing is left half done.
Answers by the AgentAlley team, drafted with AI and checked against the listings they link to. Not a real-person reply from the original thread.