PERSONAL PRODUCTIVITY

Triage a shared support mailbox into Linear issues with round-robin assignment

Monitors a shared team mailbox, uses an LLM to classify each thread into an engineering area and severity, creates a Linear issue with a deadline.

CategoryPersonal Productivity
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew email in shared team mailboxGmailGmail
  • ActionClassify area/severity, draft issue + due dateOpenAI
  • LogicDiscard out-of-scope; pick next round-robin assignee
  • ActionCreate Linear issue with labels, due date, assigneeLinearLinear
  • ActionPost issue link to team Slack channelSlack
  • OutputLabel Gmail thread as filedGmailGmail

What it does

A shared mailbox collapses into a clean Linear backlog. Each inbound thread is classified by area (bug, request, question) and severity, turned into a Linear issue with an appropriate due date, and assigned to the next engineer in the rotation so no one owner gets buried.

When to use it

Use it when a team@ or support@ address feeds engineering work and you need every legitimate item tracked, labeled, and fairly distributed. Best for small teams without a dedicated triage manager.

How it works

  1. 1A new message arrives in the shared Gmail mailbox.
  2. 2An OpenAI step classifies area and severity, drafts an issue title and description, and proposes a due date from the severity.
  3. 3A logic branch discards pure thank-you replies and out-of-scope mail, and picks the next assignee in the round-robin order.
  4. 4A Linear action creates the issue with labels, the computed due date, and the chosen assignee.
  5. 5The flow posts the new issue link back into the team's Slack channel for visibility and labels the Gmail thread as filed.

Set it up

What you configure once, before turning it on.

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