◇ Could this help me?
Yes. The core claim is right for a plain reason: an agent working in a folder finds information by navigating names and structure, so a legible hierarchy is the difference between a targeted read and an expensive scan of everything. Splitting raw capture from structured reference from finished output is a sound pattern because each layer has a different lifespan, and generating the reference layer with the agent means the structure gets maintained instead of decaying. General practice, with one wording correction: this improves what the agent can find, not its memory, and nothing here persists across sessions except the files themselves.
I keep notes, saved articles, and reference material in a single folder and want to restructure it so an AI assistant working in that folder can navigate it efficiently. Survey what is actually in there, then propose a folder structure that separates raw unstructured capture, structured reference material, and finished deliverables, using names that fit my material rather than generic ones. Explain how you would decide where a new file goes, and write the convention down as an index file at the root so the structure is discoverable. Do not move or rename anything until I approve the plan.