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There Was a Tuesday, I Remember It Was a Tuesday

There was a Tuesday morning, I remember it was a Tuesday because I had a recurring meeting.  

I always came out of feeling like I’d been busy-where I had seventeen browser tabs open and somehow could not finish a single one of the things any of them contained.

I wasn’t stuck. That’s the part that confused me for longer than I’d like to admit. I was moving. Constant motion.

Drafting something, switching to something else before it was done, picking up a thread I’d dropped, responding to something before the first thing had landed.

By noon I had contributed to nine different things and completed, by any honest measure, none of them.

The switching wasn’t a symptom of distraction. It was the structure itself, dressed up as responsiveness.

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What Multitasking Actually Does to Your Work

Here is what multitasking actually does: it doesn’t divide your effort evenly across tasks. It skims the top off each one and leaves the residue.

There is a concept in cognitive science called attention residue, the idea that when you shift from one task to another.

A portion of your attention stays anchored on what you just left. Invisible, but present. It reduces the quality of everything you touch next, without announcing itself.

What this means in practice is that multitasking doesn’t produce two half-results. It produces several partial ones, each slightly worse than they needed to be.

The loss is quiet. You don’t feel it at the moment of switching. You feel it at the end of the day, when you look at what actually got done.

“Which task on your list right now actually needs the version of you that is fully present, and is it getting that?”

The Deep / Surface Split

The model I’ve found useful is simple enough to remember without writing it down. There is work that requires your full cognitive depth, and work that runs fine on the surface.

Deep work is not tolerant of interruption, not because interruption is rude, but because the quality of thought that produces something worth reading, or a decision worth making, or a problem worth solving, degrades the moment attention fragments.

Surface work often tolerates switching just fine. The mistake isn’t doing both. The mistake is applying a surface-level approach to something that needed depth, because the calendar made depth feel like a luxury. 

DEEP WORK

SURFACE WORK

Protect the block.

A decision that needs to be made once and made well. The memo someone important will actually read. The problem that has been waiting for your full attention-and losing every time.

→ Close the other tabs. One thing.

Batch it later.

The quick reply. The status update. The calendar shuffle. These don’t need the version of you that is fully present. They need a version of you that is merely available.

→ Don’t let it crowd the deep.

 The bottleneck was never your speed. It was always your sequence.

The pattern is the same when the switching happens between tools. Opening your AI assistant mid-document doesn’t feel like a distraction, it feels like acceleration.

But the attention residue is identical. You carry the unfinished thought into the prompt. The prompt carries the distraction back.

What you get is a faster version of a fragmented process, which is a different thing entirely from a better result.

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One Question Before Every Task

Does This Need the Full Version of Me?

We default to multitasking because completion feels good and depth feels slow. The nervous system rewards finishing a task, any task-which makes the quick switch feel like progress. It isn’t always. Or at least, not the kind that compounds.

Before the next time you open a second window while the first is still unresolved, it is worth asking one question: does this task need depth, or will the surface do?

That distinction, made consistently, is where most of the difference lives. You don’t need to do less. You might just need to finish things one at a time, which sounds obvious and turns out to be genuinely hard.

The same question applies before you open a tool. Not “can AI help with this?”-but “is this the kind of task that benefits from speed, or the kind that needs me to slow down and think it through first?”

Speed applied to a well-framed problem is useful. Speed applied to an unfinished thought produces a polished version of the wrong thing. 

“The work that matters most is usually the work that takes the longest to start.”

 

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