Decay Tracker
Ki · Reasoning
The Problem
The sales data from last year is still relevant for current market analysis despite being outdated.
The Operation
This cognitive operation forces the model to for each piece of evidence, extract its timestamp and identify the domain's typical decay rate. Compute information age relative to freshness norms. Verify whether stale data is conclusion-critical by testing sensitivity: would current values change the outcome? If stale data is critical, annotate the conclusion and demand a refresh. If the domain is slow-changing, confirm data remains valid.
The Structure
This ability runs on an anchor-drift-correct cycle that detects when reasoning has drifted from its reference point. It iterates until no further refinement is possible.
If information age is not checked against its domain's decay rate before being used as evidence, freshness evaluation has failed.
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.
Appears in Use Cases