AI AGENTS

Weekly Backlog Health Report with Linear Cleanup Tasks

Each week an agent audits the ClickUp backlog for staleness, missing owners, and roadmap drift, writes a health scorecard to Notion.

CategoryAI Agents
EngineSim + Paperclip
Difficultyintermediate
Triggerschedule
Steps7
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly audit schedule fires
  • ActionPull full ClickUp backlogClickUpClickUp
  • ActionRead roadmap context from NotionNotionNotion
  • ActionScore tasks for staleness and drift with LLMOpenAI
  • LogicSplit auto-flag vs needs human action
  • OutputPublish health scorecard to NotionNotionNotion
  • ActionFile cleanup tasks in LinearLinearLinear

What it does

Produces a weekly backlog health scorecard — counts of stale tasks, ownerless cards, and items that no longer match the roadmap — and publishes it to Notion. For every problem it can't resolve on its own, it files a specific, scoped cleanup task in Linear so the team has an actionable punch list instead of a vague complaint about "backlog debt."

When to use it

Use it when backlog hygiene keeps slipping because no one owns it. The weekly cadence creates accountability: a visible scorecard plus assigned cleanup tasks every Monday.

How it works

  1. 1A weekly schedule kicks off the audit.
  2. 2The agent pulls the full ClickUp backlog and reads the Notion roadmap.
  3. 3An LLM scores each task for staleness, missing owner, and roadmap drift.
  4. 4It assembles an aggregate health scorecard with trend notes.
  5. 5A branch separates issues it can flag from ones needing human action.
  6. 6The scorecard is written to a Notion page.
  7. 7Cleanup tasks for unresolved issues are filed in Linear with owners and due dates.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ClickUpDocs + tasks + chats in one workspace.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect LinearIssues, projects, cycles, triage.
  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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