Multi-Objective Pareto Resolver
Ki · Reasoning
The Problem
The marketing campaign focuses solely on increasing brand awareness, ignoring the silent tradeoff with budget constraints and competing sales goals.
The Operation
Under this ability, the model must enumerate all active objectives and extract their success criteria, constraints, and importance weights. Identify conflicts where improving one objective degrades another and map the trade-off surface. Compute Pareto-optimal solutions where no objective improves without harming another, and rank by weighted utility. Verify that the selected resolution honors all hard constraints. Never collapse multi-objective decisions into single-metric optimization without justification. The reasoning applies a formal computation: pareto set = set(s where !exists(s2 where all(obj i(s2) >= obj i(s)) and any(obj i(s2) > obj i(s)))). It will not collapse multi objective decisions single metric.
The Structure
Under the hood, the reasoning follows a constraint net that tests the conclusion against all known constraints simultaneously. It iterates until no further refinement is possible.
If one objective is optimized while others are silently sacrificed without the trade-off being made explicit, Pareto resolution was bypassed.
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.