TICKET MANAGEMENT
Promote a Front conversation to a Linear bug with extracted repro steps
When a support agent tags a Front conversation as a bug, an LLM extracts clean reproduction steps from the thread and opens a Linear issue that links back to the original…
How it runs
The automated pipeline, trigger to output.
- TriggerFront conversation tagged 'bug'Front
- ActionFetch full conversation historyFront
- ActionExtract repro steps and environmentOpenAI
- ActionCreate Linear triage issue with customer linkLinear
- OutputPost Linear URL back as Front commentFront
What it does
Turns a messy customer support thread into a structured engineering bug. When an agent applies a `bug` tag in Front, this workflow reads the full conversation, uses an LLM to pull out the actual reproduction steps, expected vs. actual behavior, and environment details, then files a clean Linear issue with a permalink back to the Front conversation.
When to use it
Use it when support and engineering live in different tools and bugs get lost in translation. Instead of agents hand-copying threads into Linear (and dropping half the context), one tag promotes the ticket with everything engineering needs to start.
How it works
- 1A Front rule fires when an agent adds the `bug` tag to a conversation.
- 2The workflow fetches the full message history and customer metadata from Front.
- 3An OpenAI call extracts a title, numbered repro steps, expected/actual behavior, and environment into a structured payload.
- 4A Linear issue is created in the triage team with that body and a link back to the Front thread.
- 5The Linear issue URL is posted back as an internal comment on the Front conversation so the agent can follow along.
Set it up
What you configure once, before turning it on.
- 1Connect FrontShared inbox, conversations.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect LinearIssues, projects, cycles, triage.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Ticket Management workflows
Enrich Discord bug reports with Sentry errors before filing in Linear
Takes a Discord bug report, has an LLM pull out likely error signatures, searches Sentry for matching events.
Front-to-Linear Recurring Bug Linker
When a Front ticket is tagged as a bug, it searches Linear for an existing matching issue and either links the ticket to that parent issue or opens a new tracked one.
Front Duplicate Conversation Clusterer
When a new Front conversation arrives, it semantically compares the report against open conversations.
Intercom Known-Issue Auto-Responder
When a new Intercom conversation matches a known active incident, it attaches the conversation to that incident's parent ticket and sends the customer the current status reply.
Weekly reopen-by-agent coaching digest
Aggregates each agent's solved-then-reopened tickets for the week, identifies the most common reopen reason per agent, and emails a private coaching digest to the support manager.
Escalate repeat reopens to a Linear bug
Detects when the same underlying issue reopens across multiple tickets, uses an AI agent to cluster them by root cause.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
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