Temporal Reasoner
Ki · Reasoning
The Problem
Your model started, and the report was submitted, the order is arbitrary due to time ambiguity.
The Operation
This ability makes the model identify all events lacking explicit timestamps in the dataset. Extract causal and dependency clues from context to constrain possible orderings. Reconstruct the most probable sequence using causal rules: effects follow causes, logins precede searches, prerequisites precede dependents. Verify the reconstructed sequence contains no causal violations. If multiple valid orderings exist, rank them by causal coherence and annotate the chosen one. It will not assign arbitrary order ambiguous events.
The Structure
Structurally, this is an iterative convergence loop that cycles until the reasoning stabilizes on a consistent answer. It cycles until successive passes yield identical results.
If events are discussed without establishing their temporal ordering relative to each other, timeline reasoning was not performed.
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.