PROJECT MANAGEMENT

Weekly aging review and workload rebalance across the board

A weekly agent reviews every aging Trello card, weighs each teammate's current load and calendar, proposes a fair reassignment plan, applies it, and posts a rationale recap…

CategoryProject Management
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule launches review
  • ActionPull aging cards and assignmentsTrelloTrello
  • ActionRead owners' upcoming calendar loadGoogle CalendarGoogle Calendar
  • LogicReason about balanced reassignment plan
  • ActionApply reassignments on the boardTrelloTrello
  • OutputPost rationale recap to SlackSlack

What it does

Once a week this agent-driven workflow takes a holistic look at the whole Trello board. It gathers every card that has aged past its threshold, measures how loaded each owner currently is, factors in upcoming time off from Google Calendar, and reasons about a balanced redistribution. It then reassigns cards in Trello and writes a plain-language explanation of every move to Slack so the team understands the reasoning, not just the result.

When to use it

Use it when simple per-card rules are not enough and you want judgment about fairness, capacity, and timing across many cards at once. It replaces the weekly manual board-grooming meeting.

How it works

  1. 1A weekly schedule launches the review.
  2. 2The agent pulls all aging cards and current assignments from Trello.
  3. 3It reads each owner's upcoming calendar load from Google Calendar.
  4. 4It reasons about a balanced plan, weighing idle time, count, and availability.
  5. 5It applies the reassignments on the board in Trello.
  6. 6It posts a recap to Slack explaining each move and the new balance.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect TrelloKanban boards for everything.
  2. 2
    Connect Google CalendarEvents, attendees, availability.
  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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