AI agent wait time is becoming a workflow problem
An AI agent can take about 2 to 5 minutes to finish a task, creating an awkward gap. That is long enough to feel wasteful if someone just watches it, but short enough that starting a different serious task may not work well.
Running several agents in parallel can reduce , but it can also make it harder to stay focused and keep track of each task. The real issue is not only agent speed, but how people should organize work around short agent wait times.
Key points
- may create 2-to-5-minute waiting gaps during normal work.
- That gap is too long to ignore but often too short for .
- Running agents in parallel can reduce waiting but may hurt focus.
- need to account for human , not just model output.