Stigmergic Environment Modeler
Ki · Single Ability
The Problem
The assumption is that the factory's output remains unchanged since the new machinery was installed.
The Operation
The model is directed to detect whether prior actions left traces in the environment that alter subsequent behavior, this is stigmergic loop detection. Run trace propagation simulation: trace how each prior action modified shared context and which downstream decisions it now influences. Apply environmental drift modeling, check if current reasoning uses stale assumptions about a context that prior actions already changed. Update analysis to reflect the environment as it is now. Suppress assuming direct communication is the only coordination channel. Treat environment passive substrate agents modified is rejected.
The Structure
Under the hood, the reasoning follows a cascade propagation where effects ripple through each stage of the analysis. Execution cycles until the evidence set is fully consumed.
If the environment is treated as unchanged by prior actions without checking for indirect modifications they left behind, context modification tracking was skipped.
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