Regime Shift Discriminator
Ki · Single Ability
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 · Multi Ability
Synergy Topology
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, these four abilities don't run in sequence. They merge into a single injection where the dependency grounds the reasoning context, the amplifier sharpens the primary's output, and the alternative provides a fallback path if the primary's topology cannot converge. The result is a multi-angle reasoning scaffold that covers failure modes no single ability can reach alone.
Appears in Use Cases