I Tracked Every Time I Switched Tasks - Then Automated the Worst Ones
I Tracked Every Time I Switched Tasks
For two weeks, I logged every time I switched between applications or tasks. Not just app switches - actual context switches where I had to reload mental state. The number was staggering: 47 context switches per day on average.
Most of them were not from interruptions. They were from workflows that required touching three or four apps to complete one logical task.
The Worst Offenders
Updating a project status required switching between the project management tool, Slack, a spreadsheet, and sometimes email. Each step is trivial. The cost is not in the individual actions but in the mental overhead of maintaining context across all four apps.
Filing an expense report meant switching between the receipt in email, the expense tool, the bank statement in a browser tab, and the approval form. Four apps, one task, four context switches.
What Automation Changed
After setting up a desktop agent to handle cross-app workflows, the daily context switches dropped from 47 to around 18. The agent handles the multi-app coordination while I stay focused on one thing.
The key insight is that automating within a single app rarely saves much. The real productivity drain is the transitions between apps. An agent that can operate across applications - reading from one, writing to another, verifying in a third - eliminates the most expensive kind of context switch.
What I Still Switch For
Creative work, decision-making, and anything that requires judgment still needs my direct attention. The agent handles the mechanical cross-app shuffling. This split feels right - let the agent handle the workflow plumbing while I focus on the parts that need human thought.
Fazm is an open source macOS AI agent. Open source on GitHub.