Temporal Granularity Adjuster
Ki · Single Ability
The Problem
The project timeline is flawed due to a scale mismatch, focusing on micro details while ignoring macro trends.
The Operation
Under this ability, the model must identify the analysis scope: strategic (years), tactical (weeks), or operational (hours). Map each claim to its natural temporal resolution. Decompose macro claims into constituent time units and collapse micro details into scope-appropriate summaries. Verify adjusted resolution matches the decision horizon. If multiple scales apply, partition into layers and filter each independently. If it detects mix granularities without justification, it halts and corrects.
The Structure
Under the hood, the reasoning follows a layered composition that analyzes at multiple levels before combining results. It iterates until no further refinement is possible.
If the analysis operates at a single time scale without shifting granularity to match the phenomenon's natural resolution, granularity adjustment 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.