Information Foraging Director
Ki · Single Ability
The Problem
The dataset is incomplete, but the analysis proceeds as-is because collecting more data feels impractical. Data starvation gets normalized.
The Operation
This cognitive operation forces the model to map the current knowledge frontier and identify gaps where information is missing or uncertain. Rank each gap by expected value, estimating how much resolution would advance the goal. Identify the most efficient foraging strategy for the top-ranked gap, choosing between inference, analogy, or decomposition. Verify that foraging effort targets high-value gaps. Extract acquired information and integrate it before pursuing the next gap. If it detects allow aimless information gathering, it halts and corrects.
The Structure
Structurally, this is an accumulate-classify-decide pattern that gathers evidence, categorizes it, then concludes. Execution repeats until the reasoning locks onto a stable conclusion.
If a conclusion is drawn from insufficient data without first directing a search for the missing information, foraging direction 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.