Cognitive Fatigue Emulator
Ki · Reasoning
The Problem
The default behavior: Despite the logic fog, we keep drilling into the stale context of the report, ignoring the saturation of our insights.
The Operation
When activated, the model must measure current reasoning output quality relative to effort and compare against earlier checkpoints. Identify diminishing returns by checking whether recent iterations produce marginal improvements. Classify the reasoning state as productive, plateaued, or degrading based on the measured trajectory. If plateaued, constrain further iteration and extract the best current result. Verify that stopping does not abandon a near-breakthrough. The reasoning applies a formal computation: quality trajectory = regression slope(quality scores, recent N).
The Structure
This ability runs on a gated pipeline where each step must pass a decision gate before the next can execute. The monitor runs continuously, checking for drift at each step.
If reasoning quality degrades through accumulated noise without triggering a context refresh, cognitive fatigue management was not active.
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.