TICKET MANAGEMENT

Dedupe new Front bug reports against existing Linear issues before filing

Before creating a new Linear bug from a tagged Front conversation, it searches existing Linear issues for a match and either links the conversation to the known bug or files…

CategoryTicket Management
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerFront conversation tagged 'bug'Front
  • ActionSummarize symptom and keywordsOpenAI
  • ActionSearch Linear for matching issuesLinearLinear
  • LogicBranch: duplicate vs. new bug
  • ActionLink customer or create new Linear issueLinearLinear
  • OutputWrite canonical issue link to FrontFront

What it does

Stops duplicate bug tickets at the source. When a Front conversation is tagged as a bug, the workflow summarizes the symptom, searches existing Linear issues for the same problem, and decides: attach this customer to a known issue, or open a brand-new one. Either way the customer conversation gets linked to a single canonical bug.

When to use it

Use it on high-volume support queues where the same defect generates dozens of tickets. It keeps Linear clean, gives engineering an accurate count of how many customers are affected, and prevents three people from fixing the same thing.

How it works

  1. 1A Front rule triggers on the `bug` tag.
  2. 2The conversation is fetched and an OpenAI call produces a short normalized symptom summary plus search keywords.
  3. 3The workflow searches Linear for open issues matching those keywords and asks the LLM whether any is the same root cause.
  4. 4A branch decides the path: if a match exists, it adds a customer-impact comment and link to that issue; if not, it creates a new bug.
  5. 5The resolved Linear issue link is written back to the Front conversation.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect OpenAIModels, embeddings, files.
  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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