CUSTOMER SUPPORT

Auto-File Linear Tickets for Contradictory Macros

Scans Zendesk macros against linked Confluence articles weekly and opens a deduplicated Linear issue for each macro that contradicts current docs.

CategoryCustomer Support
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule starts the scan
  • ActionPull macros and linked articlesZendeskZendesk
  • ActionLLM detects contradictions and drafts corrected textOpenAI
  • LogicCheck Linear for an existing open issue for the macroLinearLinear
  • ActionCreate or update the Linear issue with the fixLinearLinear
  • OutputPost new/updated issue counts to SlackSlack

What it does

This workflow turns macro drift into tracked, assignable work. On a weekly cadence it audits macros against their help-center sources, and for every genuine contradiction it drafts a suggested replacement and files a Linear issue containing the old text, the conflict, and the proposed fix. Existing open issues for the same macro are updated rather than duplicated.

When to use it

Choose this over a Slack digest when drift fixes need to flow through your normal engineering or content backlog with owners, priorities, and status. Best for teams that triage support-content work in Linear and want an auditable trail of what was corrected and when.

How it works

  1. 1A weekly schedule starts the scan.
  2. 2Pull active macros and their linked articles from Zendesk and Confluence.
  3. 3The LLM detects contradictions and drafts corrected macro text for each one.
  4. 4Check Linear for an existing open issue keyed to the macro.
  5. 5If one exists, append the latest finding; otherwise create a new issue with the diff and suggested fix.
  6. 6Post a summary count of new and updated issues to Slack for visibility.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZendeskTickets, queues, knowledge base.
  2. 2
    Connect ConfluenceSpaces, pages, blueprints.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect LinearIssues, projects, cycles, triage.
  5. 5
    Connect SlackChannels, DMs, threads, mentions.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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