TICKET MANAGEMENT

Reproduce Intercom Bugs and Link Matching Sentry Errors in Linear

On a new bug-flagged Intercom reply, an agent reproduces the issue, searches Sentry for the matching error signature.

CategoryTicket Management
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerBug-flagged Intercom reply receivedIntercomIntercom
  • ActionSummarize symptom and time windowOpenAI
  • ActionAttempt reproduction in sandbox browserBrowserbase
  • ActionSearch Sentry for matching errorSentrySentry
  • LogicBranch: Sentry match found?
  • OutputFile Linear issue with linked Sentry eventLinearLinear

What it does

Connects a customer's words to the actual exception. The agent reproduces the reported bug, then finds the corresponding Sentry event so the resulting Linear issue carries a real stack trace instead of a guess.

When to use it

Use it when many bug reports are actually surfacing known backend errors, and engineers waste time re-discovering a Sentry event that already exists. Ideal for production apps with active error monitoring.

How it works

  1. 1A bug-flagged customer reply arrives in Intercom and triggers the flow.
  2. 2The agent summarizes the symptom and the time window from the conversation.
  3. 3It attempts the reproduction in a sandbox browser and records the error text.
  4. 4It queries Sentry for events matching the message, route, and time window.
  5. 5A branch checks whether a Sentry match was found.
  6. 6A Linear issue is created with repro steps plus the linked Sentry issue URL, or flagged for manual triage when no match exists.

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 SentryErrors, performance, releases.
  5. 5
    Connect LinearIssues, projects, cycles, triage.
  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.

Run this workflow in your colony.

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