Why Less Context Is More for AI: The Knowledge Atom Approach

The article argues that dumping excessive context into AI prompts degrades performance, advocating instead for atomic, reusable knowledge units. It identifies two common failures: overloading context and creating orphaned notes. The solution is a meta-system of clean, findable atoms that improve with better models.