AI Doesn't Just Save Time. It Removes the Pauses

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AI Doesn’t Just Save Time. It Removes the Pauses. | by Bar Haim | Jun, 2026 | MediumSitemapOpen in appSign up<br>Sign in

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AI Doesn’t Just Save Time. It Removes the Pauses.

Bar Haim

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The new problem with working with AI is not laziness.<br>It is continuity.<br>Everyone talks about how AI saves time.<br>And it does.<br>But there is another thing it saves that we talk about much less:<br>It saves the pauses too.<br>I used to work with the Pomodoro method.<br>25 minutes of work.<br>5 minutes of break.<br>Repeat.<br>It sounds simple, but there was something smart about it. It did not just manage time. It created boundaries.<br>It forced you to stop before the work swallowed you.<br>But even without Pomodoro, old work had natural friction.<br>You wrote code.<br>You got stuck.<br>You searched for an answer.<br>You waited for the build.<br>You read Stack Overflow.<br>You stared at the screen.<br>You had to think.<br>The work itself slowed you down.<br>There were built-in pauses. Sometimes they were frustrating, but they also protected you. They gave your brain a moment to process, step back, and return with a different angle.<br>Then AI arrived.<br>And suddenly, a lot of that friction disappeared.<br>One question becomes a follow-up.<br>One answer becomes an experiment.<br>One bug becomes a refactor.<br>One refactor becomes a new feature.<br>And the new feature becomes a thought: wait, maybe the agent can also write the tests?<br>So you keep going.<br>Not because you are distracted.<br>Not because you are wasting time.<br>Not because you lost control in the classic sense.<br>The opposite.<br>You keep going because the work is flowing.<br>And that is exactly the dangerous part.<br>AI does not get tired. It does not need coffee. It does not lose focus. It does not get up to use the bathroom. It does not stop and ask you: maybe you should think for a minute about whether this is still the right thing to build?<br>It just keeps answering.<br>And if you do not set a boundary, you keep going with it.<br>This changes the nature of productivity.<br>In the old world, the problem was often starting. Getting into focus. Overcoming distractions. Not escaping into another tab.<br>In the AI world, the problem is sometimes the opposite:<br>It is too easy to continue.<br>Too easy to ask for another version.<br>Too easy to fix another bug.<br>Too easy to expand the scope.<br>Too easy to turn a 20-minute task into 2 hours of “just one more improvement.”<br>And it does not feel like wasted time.<br>It feels like progress.<br>But not all progress is the right progress.<br>Sometimes you are moving very fast on the wrong thing.<br>Sometimes you add capabilities before you understand the problem.<br>Sometimes you let the agent lead you, instead of using it to get where you actually wanted to go.<br>This is where the old Pomodoro starts to feel less like a time management trick, and more like a defense mechanism.<br>Not a defense against laziness.<br>A defense against infinite continuity.<br>Maybe the new habit for working with AI should be simple:<br>Every 30 minutes, stop prompting.<br>Do not open another window.<br>Do not ask for another variation.<br>Do not give the agent another task.<br>Just stand up.<br>Walk for a few minutes.<br>Think without the model.<br>Ask yourself:<br>What am I actually trying to build?<br>Is this task still important?<br>Am I making progress, or am I just continuing?<br>Is AI helping me think, or replacing the pause I needed to take?<br>Because with AI, the risk is not only doing too little.<br>The risk is doing too much, too continuously, without noticing.<br>And the new skill is not just knowing how to write a good prompt.<br>It is knowing when to stop writing prompts.

Written by Bar Haim<br>11 followers<br>·14 following

Staff Research Scientist at IBM | Multidisciplinary Problem-Solver | Innovative Engineer | MBA

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