Open standard · Developers
ChunkMaps publishes a machine-readable taxonomy so developer agents and tools can ingest the framework without scraping prose. The same content model ships as JSON and YAML.
Download the spec
Canonical public URLs (when live):
https://chunkmaps.com/NLP_improved_communication/spec/chunkmaps.jsonhttps://chunkmaps.com/NLP_improved_communication/spec/chunkmaps.yaml
What the taxonomy defines
- Domain and desired outcome boundaries
- Up / Down / Across vectors with typical questions
- Working memory rule (7±2) for cognitive load management
- Four models: Definition, Interaction, Environment, Features
- CHUNKS_OK persuasion variables
- Optional agentic extensions: blackboard, DAG prompt-trees, policy-to-pipeline, spatial reasoning
Use this as an AI prompt chaining and structured argument-mapping schema for LLMs, while humans still learn the method through the Learn path and Agentic hub.