Landmark Navigator
Ki · Single Ability
The Problem
The timeline is unclear because the absolute timestamp was lost, causing relative drift and epoch confusion.
The Operation
This cognitive operation forces the model to scan the timeline for high-salience events that serve as natural reference points based on impact or uniqueness. Rank candidate landmarks by salience and select those that partition the timeline into meaningful epochs. Map all other events relative to the nearest landmark using before/after relationships. Do not rely solely on absolute timestamps when landmarks provide more robust anchoring. If a query references relative time, identify the implied landmark and trace proximity. If it detects rely solely absolute timestamps landmarks provide robust, it halts and corrects.
The Structure
Under the hood, the reasoning follows an abstraction ladder that moves up and down between concrete details and abstract patterns. The process iterates until convergence, where additional passes add nothing new.
If temporal positioning relies only on relative offsets without anchoring to named landmark events, navigation has lost its reference frame.
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.