Tasks are automatically scheduled based on dependencies, estimated duration, and your availability preferences.

When priorities shift or conflicts arise, DOER automatically reschedules tasks while respecting dependencies.

85%

Tasks completed on time

42%

Of total goal achieved

92

Overall plan health

DOER reads every Apple Calendar commitment so the AI scheduler can tuck its plan around existing life blocks, while sending AI-generated events back to keep the calendar canonical.

Outlook meetings flow into DOER so the scheduler carves focused work sprints before each call and pushes any AI-rescheduled slots right back into your inbox-driven agenda.

Google Calendar is kept in lockstep with the AI planner—DOER syncs tasks as events, keeps shared links updated, and leans on the calendar feed when juggling availability across teams.

DOER drafts tasks into Todoist complete with priorities and due dates, and when Auto-Scheduling reshuffles a session the list is updated so checklists reflect the latest AI thinking.

Map AI plan tasks into Asana projects so DOER can align its auto-scheduler with project timelines and let collaborators see which AI-scheduled task unlocks the next sprint.

Every task DOER generates becomes a Trello card with the estimated effort and scheduled day attached, keeping the Kanban board honest while the planner reorders work as priorities shift.

Linear issues become DOER tasks with priorities and due dates; when the AI scheduler reshuffles work, Linear boards update to reflect the latest timeline and keep engineering teams in sync.

ClickUp tasks sync with DOER plans—the AI scheduler creates tasks with estimates and deadlines, and when priorities shift the workspace reflects the updated schedule automatically.

Monday.com boards receive DOER tasks as items with timelines; the AI scheduler keeps project views current as work gets rescheduled and ensures dependencies stay aligned across teams.

Jira issues sync with DOER tasks—the AI scheduler creates tickets with story points and due dates, and when plans change the backlog updates to match the latest sprint timeline.

Notion pages become the single source of truth for plan context—DOER uses embedded notes as prompts for new task generations and references them whenever it re-optimizes the AI schedule.

Obsidian vaults store plan context as notes—DOER references linked thoughts when generating tasks and updates knowledge graphs whenever the AI schedule evolves.

Evernote notebooks become the knowledge base for DOER plans; the AI scheduler uses embedded notes as context for task generation and keeps plan details synchronized across all devices.

OneNote pages store plan details and reference materials—DOER uses notebook content when creating tasks and updates sections as the AI schedule adapts to new priorities.

Slack delivers rich plan digests, lets you ask DOER for a quick auto-reschedule via slash commands, and broadcasts notifications whenever the AI scheduler reschedules tasks.

Meetings, rooms, and notes from Teams feed the AI scheduler, so DOER balances focus blocks with calls and posts summary cards to the right channels when plans evolve.

Discord channels receive DOER plan updates and milestone notifications; the AI scheduler posts summaries when tasks are rescheduled and keeps communities informed about progress changes.

Strava workouts inform DOER about recovery windows; the AI scheduler keeps high-intensity fitness days from colliding with heavy cognitive work and celebrates completion with a plan update.

Apple Health data informs DOER about activity levels and recovery needs; the AI scheduler avoids scheduling intense work after high-activity days and adapts plans based on fitness patterns.

Google Fit workouts influence DOER scheduling—the AI scheduler accounts for exercise intensity and recovery windows, ensuring cognitive work doesn't conflict with fitness goals.