Temporal Reasoner
Ki · Single Ability
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 · 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.