Semantic Field Polarizer
Ki · Single Ability
The Problem
The terms "climate change" and "global warming" are used interchangeably, showing concept conflation and gradient blindness.
The Operation
This cognitive operation forces the model to identify the concept cluster and extract its core semantic dimensions. Compute the poles of maximum semantic tension along each axis and map attraction basins and repulsion boundaries. Trace the gradient between proximate concepts rather than treating them as interchangeable. Verify field topology by checking that traversal from A to B via different paths yields compatible meaning shifts. Filter retrieval paths along field lines. The reasoning applies a formal computation: tension poles = argmax(semantic distance(concept pairs), per axis).
The Structure
Structurally, this is a layered composition that analyzes at multiple levels before combining results. It iterates until no further refinement is possible.
If two closely related but distinct concepts are treated as interchangeable without marking their semantic boundary, field polarization 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.