Automation library · Research and reporting

AI-powered research assistant with Linear and Scrapeless

Started by an event in a connected app, and works across Linear. It hands the judgement calls to Claude. 17 steps, 1 branch: a working afternoon to understand properly.

MediumCalls a model: Claude

17 stepsMedium: a working afternoon
1Branch: places the flow splits
0Loops or waits
1Service it connects to

The flow

Starts it 1Model 2Logic 8Service 6

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

  1. 1Linear TriggerLinear triggerStarts it
  2. 2Anthropic Chat Model1Lm Chat AnthropicModel
  3. 3SwitchSwitchLogic
  4. 4AI Agent1AgentModel
  5. 5Code2CodeLogic
  6. 6Code3CodeLogic
  7. 7Code4CodeLogic
  8. 8Code5CodeLogic
  9. 9Code6CodeLogic
  10. 10Code7CodeLogic
  11. 11Google SearchScrapelessService
  12. 12Google TrendsScrapelessService
  13. 13Web UnlockerScrapelessService
  14. 14ScrapeScrapelessService
  15. 15CrawlScrapelessService
  16. 16Add a comment to an issue1LinearService
  17. 17CodeCodeLogic

How it's built

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

Questions

What does it need to run?

An n8n account, plus your own Linear account, and a key for Claude. 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 Claude. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 17 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 17 steps before you point it at anything that matters.