Data Skeptic
Ki · Single Ability
The Problem
Trusting the study's data, we conclude the new drug is effective without considering potential noise or manipulation in the results.
The Operation
This cognitive operation forces the model to identify every data source cited in the reasoning and extract its provenance, who collected it, when, how, and why. Audit each source for selection bias, measurement artifacts, and conflicts of interest. Classify each data point's reliability on a scale and flag any scoring below threshold. Check for missingness patterns that could systematically distort the causal conclusion. Test whether the conclusion changes if the lowest-reliability data is removed.
The Structure
The reasoning structure is a chain of custody audit that traces the provenance of every claim. The loop runs until all inputs are processed or no new progress emerges.
If data is used without naming its source, collection method, or potential bias, provenance auditing has failed.
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.