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Pattern detection

The system analyzes decision history for:
  • Cognitive biases (optimism bias, recency bias, underweighting health consequences).
  • Behavioral patterns (decisions after 8 PM, under deadline pressure, impulsive purchases).
  • Blind spots (topics consistently missing from decision criteria).
Signals combine frequency, confidence, and outcome data so you can compare predicted confidence with actual results.

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Principles tracker

Set personal rules (“never work for free”, “sleep on $1000+ decisions”) and receive alerts when a decision candidate violates them. Each violation is logged so trends are visible over time.

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Calibration training

  • Daily micro-predictions keep calibration active.
  • Outcome reviews compare confidence vs. actual results and highlight persistent overconfidence or underconfidence.