An agentic learning companion that helps developers resume progress after procrastination by selecting a single, minimal next action from a bounded task space. Focused on re-entry, not productivity, with deterministic rules and explainable AI decisions evaluated via Comet Opik.
human-in-the-loop opik hackathon-project explainable-ai agentic-ai learning-systems behavioral-design
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Updated
Feb 7, 2026 - Python