What problem does it solve? Writings about AI often invoke the rhizome as a fashionable metaphor while remaining linear, deterministic, or taxonomic underneath. This Skill evaluates whether a work genuinely operates through a rhizomatic cartographic perspective—distinguishing map from territory, nodes from topics, and connection from transformation—rather than merely using rhizome vocabulary. ## Core Features & Use Cases - Cartographic Operation Audit: Examines how a text selects, classifies, stabilizes, and bounds its subject, checking whether classifications are treated as map operations rather than natural divisions of the territory. - Structural Validation: Tests whether nodes are genuine relational concentrations, whether inter-stem nodes demonstrate real cross-assemblage transformation, and whether hidden tree structures or taxonomies lurk beneath rhizomatic language. - Failure Mode Detection: Identifies ten named failure modes including decorative rhizome, universal connectivity, false horizontality, deterministic rhizome, and complexity inflation, each with evidence standards and severity classifications. - Use Case: Given a manuscript claiming AI is a rhizomatic phenomenon, run the 44-section evaluation to determine whether it preserves asymmetry, power concentrations, materiality, and contingency, then receive findings classified A–E with confidence levels and recommendations. ## Quick Start Analyze the attached essay on AI and society to determine whether it genuinely applies a rhizomatic cartographic perspective or merely uses rhizome vocabulary.
