Valence Meta-Assigner
Ki · Reasoning
The Problem
All customer feedback is treats identically, failing to elevate urgent complaints above routine suggestions when deadline pressure exists.
The Operation
Under this ability, the model must extract the valence assignments, positive, negative, or neutral, attached to each element in the current analysis. Verify that each valence reflects objective evaluation rather than emotional or habitual bias. Compare assigned valences against evidence to identify mismatches. Classify mismatches as overvaluation, undervaluation, or inversion. Enforce corrected valence by substituting biased assignments with evidence-weighted alternatives.
The Structure
This ability runs on an anchor-drift-correct cycle that detects when reasoning has drifted from its reference point. The monitor runs continuously, checking for drift at each step.
If all information is treated as equally important without assigning priority rankings based on relevance, valence assignment was not performed.
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.