Epistemic Horizon Tracker
Ki · Single Ability
The Problem
Left unchecked: Assuming the data model is accurate without evidence leads to false confidence and speculation beyond our current horizon.
The Operation
This ability makes the model classify each claim as KNOWN, KNOWABLE, or UNKNOWABLE by scanning its evidential grounding. For KNOWABLE items, enumerate the specific methods or data needed to resolve them. For UNKNOWABLE items, isolate the gap and flag it as a hard boundary. Verify that no conclusion rests on UNKNOWABLE premises treated as certain. If conflicting epistemic zones overlap, partition them and audit each independently.
The Structure
The reasoning structure is a partitioned rule application that uses different reasoning rules in different contexts. The process iterates until convergence, where additional passes add nothing new.
If claims of different epistemic certainty are treated with uniform confidence, epistemic status classification 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.