This tweet notes that while CLAUDE.md solves the instruction-handling side, you still need to track your model’s context budget. It links to Headroom, a simple one-line-install status bar that shows your current context usage percentage in your editor’s status line.

The article challenges RDF’s focus on global IRIs, showing how conversational and narrative contexts rely on deferred classification, consensus and scoped definitions rather than fixed identifiers. It outlines approaches—contextual definitions, master data management, local IRIs and self-learning AI—to build flexible, locally scoped ontologies.