Rate Limiter
Ki · Single Ability
The Problem
We've gathered enough evidence on the market trends, but we should keep looking for more data without checking the saturation threshold.
The Operation
The model is directed to track cumulative evidence and measure whether each new addition changes the working conclusion. Compute marginal impact of the last N additions: if impact approaches zero, saturation is near. Classify current state as pre-saturation, at-saturation, or over-saturated based on marginal impact trends. Do not accumulate evidence past saturation. If saturated, halt gathering and consolidate. The reasoning applies a formal computation: marginal impact = delta(conclusion confidence) / delta(evidence count); window=last N. It will not accumulate evidence past saturation.
The Structure
This ability runs on an iterative convergence loop that cycles until the reasoning stabilizes on a consistent answer. Execution repeats until the reasoning locks onto a stable conclusion.
If evidence collection continues past diminishing returns or stops before the conclusion converges, saturation boundary detection was not applied.
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.