Grounding Regressor
Ki · Single Ability
The Problem
The project's success is due to an ungrounded chain of abstract principles without concrete referents.
The Operation
When activated, the model must at each reasoning step, compute the number of inference hops from the nearest concrete referent. If grounding depth exceeds the threshold, halt abstract reasoning and force a re-anchoring step. Extract a concrete observation or example that makes the current abstraction falsifiable. Verify that re-anchoring restores genuine grounding. Trace the chain from anchor to current abstraction and flag any unsupported leap. The reasoning applies a formal computation: hops = count(inference steps to nearest concrete referent). Allow grounding depth to exceed threshold without corrective is rejected.
The Structure
Structurally, this is an anchor-drift-correct cycle that detects when reasoning has drifted from its reference point. The monitor runs continuously, checking for drift at each step.
If abstract claims cannot be traced back to concrete observable referents, grounding regression 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.