PERSONAL PRODUCTIVITY

Daily Inbox Sweep That Batches Tasks Into One Trello List

Runs once each morning, reviews everything that arrived since the last sweep, and creates Trello cards for the actionable items plus posts a Slack digest of what was triaged…

CategoryPersonal Productivity
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily morning schedule
  • ActionFetch emails since last sweep (Gmail)GmailGmail
  • ActionClassify and extract tasks in batch (OpenAI)OpenAI
  • LogicFilter non-actionable and dedupe threads
  • ActionCreate Trello cards in today's listTrelloTrello
  • OutputPost triage digest to SlackSlack

What it does

Instead of reacting to each email, this flow does one scheduled sweep per day. It pulls every message received since the previous run, asks AI to sort them into actionable tasks versus noise, and creates a Trello card for each task in a dated "Today" list with extracted due dates. It then posts a short Slack digest summarizing how many emails were triaged, what became cards, and what was ignored.

When to use it

Choose this over real-time triage when you prefer a single focused review window and a tidy daily summary rather than cards trickling in all day. Great for people who batch their email and want a morning task list ready to go.

How it works

  1. 1A daily schedule triggers the flow each morning.
  2. 2Gmail returns all messages received since the last run.
  3. 3OpenAI classifies each email and extracts task titles and deadlines in one pass.
  4. 4A logic step filters out non-actionable mail and dedupes threads.
  5. 5A Trello card is created for each task in the day's list.
  6. 6A Slack digest reports the triage counts and what was skipped.

Set it up

What you configure once, before turning it on.

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

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