Production AI / 3 min read
Pomodoro for AI agents: fire it off, then check it.
My idea for multitasking with AI: set a timer, give an agent a job, and come back to check its work.
A tomato timer, but make it AI
Here's my pitch: Pomodoro timers for AI agent workflows. Set a timer, fire off a task, and go focus on something else while the agent works. Then come back and check it. You heard it here first, folks.
I'm interested in the gap between handing an agent a task and getting something useful back. If a workflow takes a few minutes, I don't want watching it run to become a task of its own. A timer gives me a point to return to it, so I can put my attention somewhere else in the meantime.
Give it a job before starting the clock
I'd start with one clear assignment. Something like: review these pipeline logs, explain the likely cause of the failure, and show me the evidence. Don't change anything yet. That gives the agent a specific output to return and gives me something concrete to review.
Then I'd set a timer for, say, 25 minutes and work on something independent, like drafting a design note. The exact duration is adjustable. The useful part is choosing a task I can focus on without needing the agent's answer halfway through.
This is also where I'd resist launching six more agents just because I can. Every result needs some attention when it comes back. One agent task and one human task seem like a good place to start.
The timer is a reminder, not a finish line
One small catch: setting a timer doesn't make an agent finish on schedule. When it rings, the workflow might be done, still running, or waiting for an answer. A completion notification can tell me the result is ready; the timer is my reminder to check in if I haven't heard anything.
And by 'check it,' I mean actually open the result. Does it answer the question? Does the evidence support the explanation? Is there something I need to correct? A finished run and a finished job aren't always the same thing.
If it's still working, I'd look at its progress before giving it more time. If it's stuck, I'd answer the question or narrow the assignment. Then I can decide whether another focus block makes sense.
Give the timer its own status workflow
I'd take this a step further with a secondary workflow forked from the main app and synced with the timer. Its job would be to send me a status report at each timer gate: what's finished, what's still running, what's blocked, and whether it needs anything from me.
For that to be useful, the reporting workflow needs access to the main task's current status and outputs. A copy of the original conversation would go stale as the work progresses. I'd want each report to link to the latest result, say when the status was checked, and flag anything it couldn't verify.
The timer would trigger the check-in, and the secondary workflow would turn that check into a short update. I could read it, make any needed decision, and start the next block. If the main task finishes early or hits a blocker that needs me, I'd want that notification right away instead of waiting for the next gate.
That's the setup I'd like to try: the main workflow does the work, and the secondary workflow keeps me informed on the timer's rhythm. The timer alone doesn't create that connection; the app needs a way to schedule the checks and deliver the reports.
Does it buy back attention?
That's what I'd want to find out. Did I get a useful stretch of focused work? Was the agent's output usable? How much time did I spend checking and fixing it? Those answers matter more to me than how many workflows were running at once.
It's a small experiment: hand off a clear task, set a timer, focus elsewhere, and come back with enough attention to review the result. Take a break, then decide what's next. The tomato now has a delegation job.
A relevant next step
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