A personal productivity pattern for consuming material during a hands-busy activity: load reading material or notes into an AI voice-mode assistant (e.g., ChatGPT voice mode) ahead of time, ask it for a summary at the start of the activity (e.g., a workout), and then explore further via spoken follow-up questions. The hands-busy, eyes-busy constraint is what makes voice interaction the right modality — text-based chat would break the workflow. A personal-scale instance of the same Long-Context LLM Ingestion for Unstructured Feedback Mining pattern of using AI to make otherwise-skipped material actionable.