Valence Meta-Assigner
Ki · Single Ability
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 · 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