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Ki · Reasoning
The Problem
The report's abstraction overhang leads to vague conclusions about climate change impacts without concrete data points.
The Operation
The model is directed to identify the abstract claim that lacks concrete grounding. Decompose it into atomic, measurable sub-components, each must have an observable indicator. For each sub-component, extract or demand a specific data point with units and magnitude. Classify each data point as confirmed, estimated, or missing. If more than 30 percent of sub-components lack data, halt the analysis and demand measurement before proceeding. The reasoning applies a formal computation: missing ratio = sub components without data / total sub components.
The Structure
This ability runs on an abstraction ladder that moves up and down between concrete details and abstract patterns. The procedure repeats until diminishing returns trigger an exit.
If abstract claims lack specific measurable data points or concrete instances, granular refinement 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.