PERSONAL PRODUCTIVITY

End-of-Day Cross-Channel Notification-Debt Sweeper Agent

An agent that, at end of day, sweeps Slack, Gmail, and Linear together, auto-archives or auto-closes everything provably resolved.

CategoryPersonal Productivity
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEnd-of-day sweep fires
  • ActionPull outstanding items from Slack, Gmail, LinearSlack
  • LogicAuto-archive/close everything provably resolvedOpenAI
  • LogicDedupe and cross-reference survivorsOpenAI
  • OutputPost one ranked tomorrow list to Slack DMSlack

What it does

This is the unified version of the theme: one agent that reconciles notification debt across Slack, Gmail, and Linear in a single end-of-day pass. It reads outstanding pings, emails, and issue mentions, clears the noise — archiving resolved email threads, closing done issues, dismissing stale FYIs — and then reasons across what remains to produce one ranked 'tomorrow' list rather than three separate queues.

When to use it

Use it when your debt is spread across multiple tools and no single per-app sweep is enough. Best for operators and leads who end each day with unread counts in three places and want a true zero-state plus a clear plan for the next morning.

How it works

  1. 1An end-of-day scheduled trigger starts the agent.
  2. 2The agent pulls outstanding items from Slack, Gmail, and Linear in parallel.
  3. 3It judges each item, auto-archiving resolved emails, closing completed Linear issues, and dismissing stale Slack FYIs.
  4. 4It cross-references the survivors to dedupe items that appear in more than one tool.
  5. 5It ranks what truly needs you and posts a single prioritized triage list to your Slack DM for the morning.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SlackChannels, DMs, threads, mentions.
  2. 2
    Connect GmailRead, draft, send, label.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  4. 4
    Connect OpenAIModels, embeddings, files.
  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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.