When I went fully remote, my productivity didn't dip. It collapsed.

It wasn't dramatic on day one. I had a laptop, a kitchen table, a reasonable internet connection, and what I believed was a decade of self-discipline. By month two, I was finishing the day with the same feeling you get after a long flight: I'd been on, technically, for nine hours and could not point to a single block of real work. Meetings ran into deep work, deep work ran into messages, messages ran into a half-written doc I'd already opened twice that morning. Each evening I'd close the laptop convinced I'd just had a bad day.

Csikszentmihalyi's flow research identifies "freedom from interruption" as a precondition for flow, not a nice-to-have. On a Mac managing multiple projects, that precondition is mostly an environment problem: which apps, tabs, and notifications are visible when you sit down. Here is how to engineer that environment instead of relying on an AI tool to detect flow after the fact.

AI focus-tracking apps infer concentration from keystrokes, app switching, and screen content - which is a real data-handling question the moment you work across multiple clients on one Mac. Here is what these tools actually collect, and why a context-based approach that never looks at your screen solves the underlying focus problem without the exposure.

Unfinished tasks occupy mental space even when you're not working on them. Understand the Zeigarnik Effect and how to manage cognitive open loops.