Adaptive Threshold Tuner
Ki · Reasoning
The Problem
Success is judged by whether the ROI exceeds an arbitrary 15% threshold without further analysis.
The Operation
Under this ability, the model must identify which input variables the conclusion is most sensitive to. Simulate small perturbations in each key variable and measure the effect on the output. Rank variables by sensitivity magnitude to expose hidden leverage points. Verify that high-sensitivity variables have been examined with proportionate rigor. Trace whether any assumption masks a sensitivity that would alter the conclusion. Accept results ignore high sensitivity factors is rejected.
The Structure
Under the hood, the reasoning follows a sensitivity perturbation grid that systematically varies inputs to find where the conclusion breaks. The procedure repeats until diminishing returns trigger an exit.
If the conclusion depends on an arbitrary threshold without testing how it changes when that threshold shifts, sensitivity reflection was skipped.
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.