Automation library · Research and reporting

Detect team burnout with Groq AI

Started by a clock, and works across GitHub and Gmail. It hands the judgement calls to Groq. 11 steps: a working afternoon to understand properly.

MediumCalls a model: Groq

11 stepsMedium: a working afternoon
0Branches: places the flow splits
0Loops or waits
2Services it connects to

The flow

Starts it 1Model 2Logic 3Service 5

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

  1. 1Groq Chat Model ReportLm Chat GroqModel
  2. 2Send a message in GmailGmail ToolService
  3. 3Schedule TriggerSchedule triggerStarts it
  4. 4Update Github IssueGithub ToolService
  5. 5AI AgentAgentModel
  6. 6ConfigSetLogic
  7. 7No Operation, do nothingNo OpLogic
  8. 8Github Get WorkflowsHttp RequestService
  9. 9Github Get CommitsHttp RequestService
  10. 10Get PrsGithubService
  11. 11Analyze Patterns DeveloperCodeLogic

How it's built

Starts on
A clock
Steps
11
Size
Medium: a working afternoon
Connects to
GitHub, Gmail
Model
Groq

Questions

What does it need to run?

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

What starts it?

It starts on a clock.

Does it use AI?

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

How long does it take to set up?

Plan an afternoon. 11 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 11 steps before you point it at anything that matters.