Overview
A generic chatbot repeatedly pays the cost of re-explanation. A self-improving agent compounds experience. The more often a stable workflow is performed and corrected, the more precisely the agent can match the user's way of working.
This is especially important for tasks whose quality depends on style and judgment rather than a single factual answer. Writing tone, content formats, editing conventions, project-update habits, meeting-preparation preferences, and visual standards become more valuable when they can be reused.
The self-improvement loop also changes the user's role. The user is not only issuing commands. The user is training an operating relationship through examples, corrections, and approval decisions.