Zoom-In
Ki · Single Ability
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 · 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.