Density Evaluator
Ki · Reasoning
The Problem
The park's visitor distribution is uniform, so no crowding issues are expected, ignoring potential cluster effects.
The Operation
This ability makes the model scan the space and identify element count and distribution within each region. Classify each region as sparse or dense by computing the element-to-volume ratio. If density exceeds capacity, flag overcrowding and enumerate the excess. Never ignore spatial crowding when reasoning about movement or throughput. Rank regions by congestion severity and compute capacity headroom. The reasoning applies a formal computation: density = element count / region volume.
The Structure
Under the hood, the reasoning follows an accumulate-classify-decide pattern that gathers evidence, categorizes it, then concludes.
If element distribution is assumed uniform without identifying clusters or sparse regions, density evaluation was skipped.
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.