Last updated on January 26, 2026 by Editorial Team
Author(s): kyle knudsen
Originally published on Towards AI.
Building a Self-Improving Productivity Coach: Agent AI with Meta-Reflection, Episodic Memory, and Streamlight
Most people keep track of their day. Some people consider this. Very few people learn from it and almost no one has a learning AI agent how to train them better For longer periods of time.
The article outlines the creation of a self-improving productivity coach that uses various AI technologies to learn from user interactions. It describes how the agent evaluates its coaching effectiveness, incorporates episodic memory, and maintains structured data of user activities. The author emphasizes the coach’s ability to adapt to the user’s unique work patterns and needs through continuous refinement of his guidelines, with the goal ultimately being to increase individual productivity and effectiveness over time.
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Comment: The content represents the views of the contributing authors and not those of AI.
