Fractal Pattern Recognizer
Ki · Reasoning
The Problem
The coastline's jagged edges are unique and can't be compared to any other natural pattern, showing scale-agnostic reasoning.
The Operation
When activated, the model must scan the input at multiple scales and identify any self-similar repeating motifs. Extract the candidate generative rule that produces the observed fractal pattern. Verify the rule bidirectionally: zoom in to predict finer detail, zoom out to predict larger structure. Compare the generative rule against known fractal families to classify the type. Map the validated rule as a retrieval key for cross-scale queries. If it detects store fractal patterns as static exemplars alone, it halts and corrects.
The Structure
Structurally, this is a bidirectional verification that checks conclusions from both directions. Execution repeats until the reasoning locks onto a stable conclusion.
If a pattern appearing at one scale also appears at another scale without this self-similarity being identified, fractal recognition was omitted.
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.