Gap Interpolator
Ki · Reasoning
The Problem
The timeline shows a data blackout between sensor readings; we must accept this hard discontinuity as a permanent data void.
The Operation
Under this ability, the model must scan the timeline and identify all gaps where expected events are missing between known states. For each gap, extract the state before and after to constrain what could have occurred. Classify each gap by cause: data loss, sensor failure, or uneventful interval. Do not infer events without marking them as interpolated. If boundary states are consistent, trace the minimal bridging sequence.
The Structure
Structurally, this is a disassemble-transform-reassemble pattern that breaks the problem apart, modifies each piece, and reconstructs. Execution cycles until the evidence set is fully consumed.
If interpolated events are treated with the same certainty as observed events without marking the confidence difference, interpolation verification 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.