An intelligent productivity application that uses machine learning to automatically schedule your tasks, reduce planning overhead, and keep you in a deep work state — without the constant clock-checking.
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Knowledge workers spend an average of 28% of their day managing tasks and schedules rather than doing the actual work. Existing tools add friction — they require manual planning, constant context switching, and offer no intelligent prioritization.
FocusFlow uses an ML model trained on individual work patterns to automatically slot tasks into the calendar at optimal times — factoring in energy levels, deadlines, and task complexity. Users add tasks; the AI handles the scheduling.
Beta testers reduced daily planning time by 40% on average. Task completion rates improved by 23%. Users reported significantly lower decision fatigue and more consistent deep work sessions throughout the day.
The core ML model analyses your historical task data, calendar patterns, and deadlines to construct an optimised daily schedule automatically. No drag-and-drop required.
Tasks are automatically ranked using a weighted scoring model that considers deadline urgency, estimated effort, project importance, and your current energy level at different times of day.
A distraction-free work session interface triggered automatically at the start of each scheduled block. Hides the task list, silences notifications, and surfaces only the single task at hand.