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How to ThinkIn the Age of AI

Find the leading indicator that appears days before…

For recurring errors, identify the leading indicator that appears days or weeks before full manifestation, not hours, because late signals provide insufficient time for corrective action to prevent the error.

When This Fires

  • When designing early warning systems for recurring errors
  • When you keep catching errors too late to prevent their consequences
  • When post-mortems reveal that warning signs were visible days before the error but weren't acted on
  • When selecting which leading indicators to monitor (Substitute a faster noisy signal for a slower precise one…) for error prevention specifically

Common Failure Mode

Monitoring same-day indicators: "I check my progress at end-of-day to see if I'm on track." End-of-day is hours before tomorrow, which is only enough time for same-day correction (work later, work faster). The indicator that predicts whether this week's goal will be met should be visible by Monday or Tuesday — not Friday afternoon. By Friday afternoon, the week is essentially over and prevention is impossible.

The Protocol

(1) For each recurring error, trace the causal chain backward: what conditions, days or weeks before the error manifests, predictably lead to it? (2) Identify the earliest visible signal in that chain. "Scope creeping without pushback by day 3" predicts "deadline miss by day 14." "Sleep below 6 hours for 3 consecutive nights" predicts "cognitive performance crash by end of week." (3) Design monitoring for that early signal, not the late one. Check scope control on day 3, not deadline proximity on day 13. Check sleep quality nightly, not energy level when the crash has already started. (4) Define the preventive action that the early signal triggers: "If scope has expanded by day 3, renegotiate deadline or cut scope before more work builds on the expanded scope." (5) Verify the lead time: does the indicator appear with enough advance warning for the preventive action to actually work?