TICKET MANAGEMENT

Reproduce Intercom Bugs and Merge Duplicates into Existing Linear Issues

On a tagged Intercom bug, an agent reproduces the issue, searches Linear for an existing matching issue.

CategoryTicket Management
Enginepaperclip
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerIntercom conversation tagged 'bug'IntercomIntercom
  • ActionExtract normalized symptom signatureOpenAI
  • ActionConfirm bug in sandbox browserBrowserbase
  • ActionSearch Linear for matching open issueLinearLinear
  • LogicBranch: duplicate or new?
  • OutputComment evidence on existing or create new Linear issueLinearLinear

What it does

Stops the same bug from spawning ten Linear issues. The agent reproduces the report, then checks whether an open issue already describes it; if so, it adds the new customer as evidence and bumps priority signal rather than creating a duplicate.

When to use it

Use it when a single high-impact bug generates a flood of separate tickets and engineers lose the true frequency signal. Best for support teams during incidents or buggy releases.

How it works

  1. 1An Intercom conversation tagged `bug` triggers the flow.
  2. 2The agent extracts a normalized symptom signature from the thread.
  3. 3It reproduces the behavior in a sandbox browser to confirm it is real.
  4. 4It searches Linear for open issues matching the signature.
  5. 5A branch decides duplicate vs. new.
  6. 6On a match, the agent comments the new report and customer count onto the existing issue; otherwise it creates a new issue with full repro steps.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect IntercomConversations, contacts, articles.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect BrowserbaseHeadless browsers, sessions, replays.
  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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