Fractal Depth Auditor
Ki · Single Ability
The Problem
The network topology looks identical at the cluster level and the node level, ignoring the recursion depth limit is fine since the fractal-like repetition means deeper levels add no new information.
The Operation
This ability makes the model identify all recursive or self-similar structures and enumerate their depth levels. At each level, extract structural properties and verify consistency with the level above and below. If a property holds at scale N but fails at N+1, flag the fractal inconsistency and trace the divergence. Never assume recursive consistency without explicit cross-scale validation. Verify that modifications at any depth propagate correctly to adjacent depths. The constraint: never assume recursive consistency without explicit cross scale.
The Structure
The reasoning structure is an abstraction ladder that moves up and down between concrete details and abstract patterns. The loop runs until all inputs are processed or no new progress emerges.
If a pattern observed at one scale is applied at another without it repeats at that resolution, fractal depth auditing was skipped.
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.