SelfManager AI

SelfManager AI is a date-centric task manager where each day is a workspace holding unlimited tables. AI Plan drafts dated schedules from goals, and AI Review analyzes recorded tasks and time across weeks, months or quarters.

SelfManager AI is a task manager built around the calendar day instead of projects or boards. Each date holds its own workspace, and inside it sits any number of tables: client work with tracked time, personal goals, errands, reading lists, finances or a private note about how the day went. Work and personal items share the same date, which reflects how a real day competes for the same hours. The AI layer sits on top of that dated record. AI Plan takes a goal described in plain English, such as a launch or a client project spanning up to 31 days, and drafts one editable table per day, taking into account tables already scheduled on those dates. AI Review reads the tasks, statuses, time, notes and comments recorded over a week, month, quarter or custom range of up to 90 days, then answers follow-up questions about what shipped, what slipped and where the time went. Pasted emails or brain dumps can be turned into a prioritized task table, and voice input is available in comments, notes and prompt boxes. Every table also has a context-aware chat, with a choice of Gemini by default, Claude, GPT or Grok, and a thinking or fast mode. Beyond the AI features, the basics are covered: due dates, reminders, priorities, time tracking by timer or on completion, comments, images, and pinned tables for long-running projects that need to be reachable from any date. Collaboration works per table, so teammates see only what is shared with them, with adjustable permissions. The product suits individuals who want one system for work and life, freelancers who need to see where hours go, and small teams that value periodic reviews. It differs from project-centric tools such as board-based trackers by treating time as the organizing structure, which makes weekly reviews a by-product of normal use. People who rely on deep project hierarchies, Gantt views or heavy integrations may find the model narrower than established alternatives.