Built a lightweight text-only search explorer powered by native WordPress and Relevanssi indexing
Expand the current author-centric relationship architecture into a universal attribution system capable of supporting books, films, television, games, songs, dialogue, quotes, excerpts, lyrics, and collaborative media sources through flexible creator/speaker/source relationships
Developed a semantic discovery workflow connecting filtering, search, taxonomy promotion, and portal generation
Develop a modular multi-view rendering system for portal pages that allows the same semantic dataset to be displayed through multiple presentation modes such as grid, list, stream, timeline, graph, and immersive text layouts. The goal is to separate semantic aggregation from visual presentation so portals become dynamic exploratory interfaces rather than static archive pages
Added grouped CPT-aware ID exporting for bulk taxonomy tagging and automation workflows
Restructure the site taxonomy system from a flat classification model into a semantic relationship architecture that supports dynamic portals, automated conceptual relationships, derived metadata, and multiple rendering modes. This project will unify topics, themes, concepts, and portal behavior into a scalable semantic framework designed for discovery, hypertext navigation, and graph-oriented content exploration
Implemented a live client-side content filtering system for instant exploration of all published CPT titles
Redesign how Narrative Elements interact with metadata, footnotes, and reverse relationship references inside narrative structures