CUSTOMER SUPPORT

Mine a Front shared inbox and let a CEO agent own the README troubleshooting backlog

An agent reviews recurring issues in a Front shared inbox, decides which warrant docs, drafts README troubleshooting sections, and tracks each as a Linear task through to publish.

CategoryCustomer Support
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled agent review of Front inbox
  • ActionPull recurring issue patterns from Front shared inboxFront
  • LogicAgent decides which issues warrant documentation
  • ActionDraft README troubleshooting section per issueReadMeReadMe
  • ActionCreate Linear tracking task and link draftLinearLinear
  • OutputStage README draft for publish with task statusReadMeReadMe

What it does

It hands the whole docs-from-support loop to an agent. Instead of a fixed pipeline, the agent reads recurring threads in a Front shared inbox, judges which issues are documentation-worthy, writes README troubleshooting sections, and files a Linear task to track each one from draft to published.

When to use it

Use it when the decision of 'what deserves docs' needs judgment, not just a frequency count, and you want a standing process that manages its own backlog rather than firing once per trigger.

How it works

  1. 1A schedule wakes the agent to review the Front inbox periodically.
  2. 2The agent pulls recent conversations and identifies recurring issue patterns from a Front shared inbox.
  3. 3It reasons about which patterns are worth documenting versus one-offs.
  4. 4For each qualifying issue, it drafts a README troubleshooting section.
  5. 5It creates a tracking task in Linear and links the draft.
  6. 6The README draft is staged for publish, with the Linear task carrying status through review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect ReadMeAPI docs, changelog, auth.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  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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