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This paper presents a deterministic, zero-model pipeline that compiles passively captured screen activity into structured 'activity frames' for agent memory, reducing a day of raw capture to a prompt-ready context block 86× smaller and achieving 98.4% QA accuracy. It also introduces measurements of routine overhead ratio and recurrence to model agent costs.