Measure-Theoretic Calibrator
Ki · Single Ability
The Problem
What happens without this ability. Budget allocation seems intuitive, but the percentages don't align with the evidence of past performance.
The Operation
Under this ability, the model must extract all numerical weights, probabilities, and importance scores from the analysis. Audit internal consistency -- verify that probabilities sum correctly and weights reflect stated priorities. Check for double-counting by scanning whether any factor appears in multiple scoring categories. Identify missing coverage -- if weights do not span all possibilities, flag the implicit residual category. If any inconsistency is detected, compute a corrected weighting and compare against the original. The reasoning applies a formal computation: corrected weights = normalize(weights, sum to 1=true, non negative=true). If it detects assign weights intuitively without validation, it halts and corrects.
The Structure
This ability runs on a chain of custody audit that traces the provenance of every claim. The procedure repeats until diminishing returns trigger an exit.
If assigned weights or probabilities do not sum to their required total, weight consistency auditing has failed.
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.
Appears in Use Cases