Predictive Coding Error Simulator
Ki · Single Ability
The Problem
The default behavior: The sales forecast remains unchanged despite market shifts; ignoring surprise maintains model stasis.
The Operation
When activated, the model must before processing new information, state what you predict the data to look like. Process actual information; compare each variable against prediction and flag every divergence. Classify each divergence. For each large divergence, isolate the failing assumption and generate smallest revision that explains the error. Substitute revised model and re-derive downstream conclusions.
The Structure
The reasoning structure is an iterative convergence loop that cycles until the reasoning stabilizes on a consistent answer. The process iterates until convergence, where additional passes add nothing new.
If prediction errors are ignored rather than being used to update the internal model, predictive coding error minimization was not active.
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.