Task switching leaves residue behind.

Sophie Leroy's work on attention residue remains important because it names a familiar but slippery experience. When someone leaves one task before their attention has fully disengaged from it, a portion of their cognitive bandwidth can remain stuck to the unfinished task instead of transferring cleanly to the next one.

That does not mean every switch is catastrophic or that all multitasking is irrational. The more defensible point is narrower and more useful: when switching is rapid, reactive, and unresolved, performance on the next task can degrade because the previous one is still mentally alive.

The practical implication is that a schedule cannot be judged only by hours spent. Two days may contain the same volume of work while producing very different levels of depth, clarity, and recovery. Shape matters because continuity matters.

People often explain a poor workday as low motivation, weak discipline, or vague burnout. Sometimes those explanations are partly true. But attention residue suggests another possibility: the day may have been structurally bad. Too many unfinished transitions can make a person feel scattered even while they appear busy from the outside.

This matters because memory is poor at pricing the cumulative effect of many small switches. Each interruption or context change feels minor in isolation. What is harder to perceive in real time is the carry-over cost that keeps following the user into the next block of work.

Once that pattern becomes visible, a user can stop misdiagnosing the problem. The issue may not be a lack of effort. It may be that the day keeps refusing to settle into enough continuity for serious work to compound.

TIM should not reduce switching to a moral lecture about focus. Its job is to make the structure of the day legible: where the user moved too often, where deep work was broken apart, and where unfinished transitions kept multiplying.

That means the product benefits from preserving sequence, not just totals. A category breakdown is useful, but it is not enough. The user also needs to see when the day turned reactive, how often blocks were fragmented, and whether the same pattern is repeating across the week.

When Tim AI enters the picture, the best use is interpretive rather than theatrical. The product should be able to answer a direct question such as why a week felt scattered, and the answer should come back grounded in actual switching patterns rather than generic advice about focus.