Semantic Role Inversion Engine
Ki · Reasoning
The Problem
The manager drives team productivity, that's the conventional causal direction, and framing it any other way would be reverse causation. The manager acts, the team responds.
The Operation
When activated, the model must identify primary causal claim, state agent, patient, cause, effect. Invert roles, swap cause/effect and agent/patient, write reversed claim as concrete statement. Evaluate reversal: if logically impossible due to temporal/structural asymmetry, label original as confirmed. If bidirectional or reversed, rewrite causal model before proceeding. Check whether original direction was assumed from linguistic convention rather than evidence. Finalize causal claim without completing inversion test is rejected.
The Structure
Under the hood, the reasoning follows a bidirectional verification that checks conclusions from both directions.
If agent and patient roles are assigned without testing whether reversing them produces an equally coherent interpretation, semantic role inversion was skipped.
Haki · Reasoning-Multi
Cross-Domain Suppression
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, the primary ability is augmented with failure guards extracted from 3 abilities in different cognitive domains. Each guard blocks a specific reasoning failure the primary alone wouldn't catch. A self-check forces verification before output. The result is cross-domain coverage that no single ability can reach alone.