Context Contextualizer
Ki · Single Ability
The Problem
Applying universal rules from a limited sample, the study claims all urban areas will face water shortages by 2030.
The Operation
The model is directed to identify the causal claim and extract its stated scope. List all implicit universals (always, never, every, all). For each universal, generate three boundary conditions where the claim could fail (edge cases, scale extremes, domain transitions). Check each boundary condition against available evidence or logical constraints. Flag any condition where the claim breaks down and document the failure mode. The constraint: never applying universal rules limited sample.
The Structure
Structurally, this is an adversarial self-attack that actively tries to break its own conclusions. It iterates until no further refinement is possible.
If a causal claim uses universals without naming a boundary condition where it breaks, scope definition has collapsed.
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.
Appears in Use Cases