Automation library · Chat assistants

Classify new bugs in Linear with OpenAI and Slack

Started by an event in a connected app, and works across Linear and Slack. It hands the judgement calls to OpenAI. 10 steps, 1 branch: a working afternoon to understand properly.

MediumCalls a model: OpenAI

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10 stepsMedium: a working afternoon
1Branch: places the flow splits
0Loops or waits
2Services it connects to

The flow

Starts it 1Model 1Logic 5Service 3

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

  1. 1Linear TriggerLinear triggerStarts it
  2. 2Set me upSetLogic
  3. 3Only tickets that need to be classifiedFilterLogic
  4. 4OpenAIOpen AiModel
  5. 5Get all linear teamsHttp RequestService
  6. 6Merge dataMergeLogic
  7. 7Check if AI was able to find a teamIfLogic
  8. 8Set team IDSetLogic
  9. 9Notify in SlackSlackService
  10. 10Update teamLinearService

How it's built

Starts on
An event in a connected app
Steps
10, with 1 branch
Size
Medium: a working afternoon
Connects to
Linear, Slack
Model
OpenAI

Questions

What does it need to run?

An n8n account, plus your own Linear and Slack accounts, 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. 10 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 10 steps before you point it at anything that matters.