PERSONAL PRODUCTIVITY

Batch low-priority Outlook invites into a once-daily review digest

Marks non-urgent Outlook meeting invites as tentative the moment they arrive, then once a day sends you a single Slack digest of everything pending so you accept or decline…

CategoryPersonal Productivity
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily afternoon schedule fires
  • ActionPull unanswered invites since last runOutlook
  • LogicFilter to low-priority, batchable invites
  • ActionMark batched invites tentativeOutlook
  • ActionCompose grouped review digestOpenAI
  • OutputPost digest to SlackSlack

What it does

Instead of letting every invite interrupt your day, this workflow tentatively holds low-priority invites as they come in and collects them. Once per day it sends a single Slack digest summarizing each pending invite, who sent it, and whether it conflicts with focus time — so you make all your accept/decline calls in one focused pass.

When to use it

When invite notifications fragment your attention and you'd rather process them in a single daily batch. Ideal for people who get many optional or FYI-type meeting requests they don't need to answer instantly.

How it works

  1. 1A scheduled trigger runs once each weekday afternoon.
  2. 2An Outlook action pulls all invites received since the last run that are still unanswered.
  3. 3A logic step filters out anything flagged high-priority or from a VIP, leaving the batchable set, and marks each tentative in Outlook.
  4. 4An OpenAI step writes a tidy digest grouping invites by conflict status and suggested action.
  5. 5The digest is posted to your personal Slack channel with quick context for each item.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect OutlookMail, calendar, contacts.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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