Clock Drift Detective
Ki · Reasoning
The Problem
Three weather stations report different temperatures for the same location, 22°C, 25°C, and 23°C, so we'll average them to 23.3°C. Merging conflicting sources without checking calibration gives a reasonable estimate.
The Operation
When activated, the model must identify all data sources and classify each by origin, methodology, and reference frame. Compare measurement scales across sources and flag incompatible units, ranges, or calibration baselines. Scan for systematic bias where one source consistently skews higher or lower than others. Do not merge multi-source data without normalizing for known biases. If bias is detected, isolate affected data and compute adjusted values. Merge multi source data without normalizing known biases is rejected.
The Structure
Structurally, this is an accumulate-classify-decide pattern that gathers evidence, categorizes it, then concludes.
If data from multiple sources is combined without checking for calibration differences or measurement bias, source bias detection 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.