The problem
Useful knowledge is often scattered across notes, project folders, and previous decisions. Search can find words, but it does not automatically preserve context or explain which source supports an answer.
The approach
The system creates a lightweight retrieval layer around existing notes. It prioritizes inspectable source chunks, practical update workflows, and clear handoffs between human judgment and AI assistance.
What it explores
- Searchable personal knowledge
- Source-grounded AI retrieval
- Durable project handoffs
- Human-in-the-loop workflows
The public case study will focus on the method and omit private vault content.