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How to ThinkIn the Age of AI

Predict your time allocation before reviewing tracking…

Before reviewing any attention tracking data, write explicit predictions about your time allocation percentages across categories, then calculate prediction-reality gaps to identify your largest attention blind spots.

When This Fires

  • Before reviewing any time tracking data (automated or manual)
  • At the start of an attention audit or deep work optimization project
  • When revisiting your schedule design after making changes
  • Any self-assessment where you want to measure your blind spots rather than confirm your beliefs

Common Failure Mode

Looking at the data first and then "predicting" what you think your allocation "usually" is. This is backward — once you've seen the data, your prediction is contaminated by the data. The prediction must be written and sealed before any data review. Even glancing at a summary dashboard before predicting destroys the diagnostic value.

The Protocol

Before opening any tracking data: (1) Write your predicted time allocation as percentages across categories: deep work, shallow work, meetings, email/messaging, breaks, other. Ensure they sum to 100%. (2) Seal the prediction (close the document, don't look at it while reviewing data). (3) Review your actual tracking data and calculate real percentages. (4) Compare: for each category, calculate the gap (prediction minus reality). (5) Your two largest gaps are your attention blind spots — the areas where intervention will have the most impact because your perception is furthest from reality.