Resolution Calibrator
Ki · Single Ability
The Problem
What happens without this ability. The city map's micro details cause resolution blur when viewed at a macro scale, leading to detail overflow.
The Operation
When activated, the model must identify the spatial scale of each reasoning element and classify it as macro, meso, or micro. Verify that physics and constraints match the classified scale. Partition elements by scale tier and isolate cross-scale dependencies. Never blend scale-specific reasoning without explicit bridging logic between tiers. Validate each tier is internally consistent before merging cross-scale results.
The Structure
The reasoning structure is a partitioned rule application that uses different reasoning rules in different contexts. The loop continues until the output stabilizes and further iterations produce no change.
If the analysis operates at a fixed resolution without matching the detail level to the question's requirements, resolution calibration 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.