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Project: Content Architecture

Top Content Evolution: From Curated Favorites to Knowledge Graph Rankings

Planning the next evolution of the Top Content system. This task explores the distinction between manually curated content and automatically ranked content based on content density, relationships, and knowledge graph significance. Future Top Content pages should reflect what is most important to the archive rather than personal preference

Top Content Artists by Content Weight

Develop a system for identifying artists whose work contributes the greatest amount of meaningful content across the Knowledge Platform, rather than simply measuring popularity or number of songs

Consolidate Search, Taxonomy, and Portal Collection Rendering

Search results, taxonomy archives, and Atlas portal views have independently evolved into very similar content browsing systems. All three build collections of content grouped by type and then render those collections using largely overlapping layouts and templates. This task investigates creating a shared collection rendering architecture that can be reused across all three systems while preserving their unique query and context logic

CPT Template Audit and Logic Consolidation

The LocalWP migration exposed a hidden Artist template bug and revealed inconsistencies between older template logic and newer shared functionality. Audit major CPT templates to identify duplicate queries, outdated ACF handling, and opportunities to centralize shared relationship logic

Semantic Taxonomy Architecture + AI-Assisted Topic Tagging System

Develop a long-term semantic tagging workflow that bridges search discovery, taxonomy navigation, and AI-assisted topic assignment across all CPTs. Focus on establishing a sustainable intake + enrichment system for excerpts, lyrics, quotes, and other content types using controlled topic vocabularies and batch tagging workflows