TICKET MANAGEMENT

Reproduce Confirmed Bugs, File in Linear, and Escalate to Slack

When an Intercom bug report is reproduced successfully, an agent files a Linear issue, posts a draft acknowledgment back to the customer.

CategoryTicket Management
Enginepaperclip
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerIntercom conversation tagged 'bug'IntercomIntercom
  • ActionExtract steps and reproduce in sandbox browserBrowserbase
  • LogicBranch: reproduction confirmed?
  • ActionCreate Linear issue with severity estimateLinearLinear
  • ActionDraft customer acknowledgment in IntercomIntercomIntercom
  • OutputEscalate high-severity bugs to SlackSlack

What it does

Closes the loop in all directions on a confirmed bug. After a successful reproduction, it files the Linear issue, leaves a customer-facing acknowledgment draft in Intercom, and pings the right Slack channel when severity is high.

When to use it

Use it when confirmed bugs need fast human attention and the customer should hear back quickly. Best for teams that want reproduction to drive both the engineering ticket and the support reply.

How it works

  1. 1A bug-tagged Intercom conversation triggers the flow.
  2. 2The agent extracts steps and attempts reproduction in a sandbox browser.
  3. 3A branch gates on confirmed reproduction; unconfirmed reports stop and request more detail.
  4. 4For confirmed bugs, a Linear issue is created with repro steps and a severity estimate.
  5. 5The agent drafts a customer acknowledgment reply in Intercom referencing the tracked issue.
  6. 6High-severity confirmations post an escalation to the engineering Slack channel with the Linear link.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect IntercomConversations, contacts, articles.
  2. 2
    Connect BrowserbaseHeadless browsers, sessions, replays.
  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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