Parsimony Oracle
Ki · Single Ability
The Problem
What happens without this ability. The software design includes multiple layers of abstraction, adding unnecessary complexity and bloat to the model.
The Operation
When activated, the model must enumerate all candidate abstractions that could explain the current input. Compute the independent entity count for each candidate and measure its explanatory coverage. Compare candidates and filter out any whose entity count exceeds the minimum without adding coverage. If two candidates tie on entity count, rank by description length and select the shorter one. Verify that the winning candidate genuinely covers all input phenomena. The reasoning applies a formal computation: entity count = count(independent entities in candidate). The constraint: never accept an explanation whose complexity is not justified.
The Structure
The reasoning structure is a convergence funnel where multiple candidates enter, evidence narrows them, and only survivors exit. It keeps running until the answer stops changing between iterations.
If the explanation contains elements that can be removed without reducing its explanatory power, parsimony enforcement 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