Regime Shift Discriminator
Ki · Reasoning
The Problem
The sales model assumes distribution stationarity, ignoring any regime shift in consumer behavior across quarters.
The Operation
This cognitive operation forces the model to identify current predictive model. Check if prediction errors increased systematically. Errors in bounds: within-regime noise, continue. Gradual trend: slow drift, update incrementally, flag reduced confidence. Sudden discontinuity: hard break, invalidate pre-break parameters, restart from post-break data only. It will not blend data across hard boundaries.
The Structure
This ability runs on a conditional branch that routes reasoning down different paths based on what it finds.
If a pre-shift model is applied to post-shift data without testing whether the underlying regime has changed, regime discrimination has failed.
Haki · Reasoning-Multi
Cross-Domain Suppression
In Haki mode, the API retrieves the primary ability first, then fans out to three synergy roles that compound its reasoning.
When retrieved in Haki mode, the primary ability is augmented with failure guards extracted from 3 abilities in different cognitive domains. Each guard blocks a specific reasoning failure the primary alone wouldn't catch. A self-check forces verification before output. The result is cross-domain coverage that no single ability can reach alone.
Appears in Use Cases