PERSONAL PRODUCTIVITY

AI Chief-of-Staff Daily Plan from Inbox and Calendar

An agent reads your overnight inbox alongside today's calendar, reconciles meetings against email asks.

CategoryPersonal Productivity
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekday morning schedule
  • ActionFetch unread Gmail and today's calendarGmailGmail
  • ActionReason over inbox and calendar with OpenAIOpenAI
  • LogicFlag overcommitment vs. free time
  • ActionWrite time-blocked plan to Monday.commonday.com
  • OutputPost daily plan to SlackSlack

What it does

Each morning an agent reviews unread email and your calendar together, reasons about what's actually doable given your meetings, drafts time-blocked work sessions around them, and writes the plan into a Monday.com board. Unlike a simple sorter, it weighs commitments against capacity and proposes a realistic agenda, not just a task dump.

When to use it

Use it when your day is a mix of meetings and reactive email and you want a chief-of-staff to reconcile the two into a plan you can follow. Best for leaders whose calendar and inbox constantly compete for the same hours.

How it works

  1. 1A weekday-morning schedule starts the run.
  2. 2The agent fetches unread Gmail and today's Google Calendar events.
  3. 3It reasons over both: extracting tasks, estimating effort, and fitting work blocks into open calendar gaps.
  4. 4A logic check flags overcommitment when tasks exceed free time.
  5. 5The agent writes time-blocked items to a Monday.com board.
  6. 6It posts the plan and any overcommitment warning to Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GmailRead, draft, send, label.
  2. 2
    Connect Google CalendarEvents, attendees, availability.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect monday.comVisual work management for teams.
  5. 5
    Connect SlackChannels, DMs, threads, mentions.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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