PERSONAL PRODUCTIVITY

Daily Inbox Sweep into a ClickUp Task Batch

Once a day, scans all unread email from the last 24 hours, clusters the actionable ones, and creates a single batch of ClickUp tasks each with an inferred due date.

CategoryPersonal Productivity
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires (e.g. 7am)
  • ActionFetch unread Gmail from last 24 hoursGmailGmail
  • ActionFilter actionable and cluster duplicatesOpenAI
  • ActionInfer due date and priority per itemOpenAI
  • ActionCreate batch of ClickUp tasksClickUpClickUp
  • OutputSend digest email of queued tasksGmailGmail

What it does

Instead of reacting to every email as it arrives, this runs as a scheduled daily sweep. It pulls the last 24 hours of unread mail, picks out the genuine action items, dedupes near-identical requests, and creates them as a batch of ClickUp tasks. Each task gets a due date inferred from the email, and you receive one tidy digest of everything that was queued.

When to use it

Use it when you'd rather process your inbox in one focused block than be interrupted all day. Great for people who batch their work and want a clean morning task list waiting for them.

How it works

  1. 1A daily schedule (e.g. 7am) triggers the run.
  2. 2Gmail returns all unread messages from the trailing 24 hours.
  3. 3OpenAI filters to actionable emails and clusters duplicates into single items.
  4. 4For each item, OpenAI infers a due date and priority.
  5. 5The items are created as a batch of ClickUp tasks in your inbox list.
  6. 6A digest email summarizing every queued task is sent back to you.

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 ClickUpDocs + tasks + chats in one workspace.
  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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