Automation library ยท AI assistants

Automatic issue routing in Linear with OpenAI

Started by an event in a connected app, and works across Linear. It hands the judgement calls to OpenAI. 13 steps, 6 branches: a working afternoon to understand properly.

MediumCalls a model: OpenAI

13 stepsMedium: a working afternoon
6Branches: places the flow splits
0Loops or waits
1Service it connects to

The flow

Starts it 1Model 2Logic 6Service 4

The steps in the order they run, from what starts it.

  1. 1๐Ÿ”” Linear TriggerLinear triggerStarts it
  2. 2๐Ÿง  OpenAI Chat ModelLm Chat Open AiModel
  3. 3๐Ÿ“‹ Filter New Issues OnlyIfLogic
  4. 4๐Ÿค– AI Agent (Bug Classifier)AgentModel
  5. 5โš–๏ธ If (Create or Update)IfLogic
  6. 6๐Ÿ”€ Engineering RouterSwitchLogic
  7. 7๐Ÿ”€ Product RouterSwitchLogic
  8. 8๐Ÿ”€ Design RouterSwitchLogic
  9. 9๐Ÿ”€ Default RouterSwitchLogic
  10. 10๐Ÿ› ๏ธ Assign to EngineeringLinearService
  11. 11๐Ÿ“ฆ Assign to ProductLinearService
  12. 12๐ŸŽจ Assign to DesignLinearService
  13. 13๐Ÿ“‚ Assign to DefaultLinearService

How it's built

Starts on
An event in a connected app
Steps
13, with 6 branches
Size
Medium: a working afternoon
Connects to
Linear
Model
OpenAI

Questions

What does it need to run?

An n8n account, plus your own Linear account, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on an event in a connected app.

Does it use AI?

Yes. It calls OpenAI. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 13 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

Before you run it

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 13 steps before you point it at anything that matters.