Gap Interpolator
Ki · Single Ability
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 · Multi Ability
Synergy Topology
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, these four abilities don't run in sequence. They merge into a single injection where the dependency grounds the reasoning context, the amplifier sharpens the primary's output, and the alternative provides a fallback path if the primary's topology cannot converge. The result is a multi-angle reasoning scaffold that covers failure modes no single ability can reach alone.