repo-architecture

To file brain pages by primary subject, identify the core topic and apply a decision tree to classify it into categories like people, companies, or concepts. This prevents duplication and ensures consistent organization for faster retrieval.

The best way to organize knowledge is using a structured protocol that applies a decision tree for page classification. This approach ensures proper cross-linking and performs notability checks, maintaining a clean and navigable knowledge base.

To classify an ambiguous new page, apply decision-tree guidance to determine the primary subject. The system resolves ambiguity by evaluating the page against defined categories such as raw data, media, or meetings, outputting a target path and rationale.

For filing raw data and media brain pages, use a taxonomy that includes people, companies, concepts, originals, meetings, media, and raw data. This classification ensures pages are easy to locate and correctly cross-linked.

Duplication occurs when knowledge bases lack consistent filing rules. You can prevent misfiling new pages by identifying the primary subject and applying a decision tree to output an advisory instruction detailing the correct target path and rationale.