Automation library · Content

Daily Google Tasks briefing in Slack with a local model

Started by a clock, and works across Slack. It hands the judgement calls to a local model. 10 steps, 1 branch: a working afternoon to understand properly.

MediumCalls a model: a local model

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

The flow

Starts it 1Model 2Logic 4Service 3

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

  1. 1Ollama Model1Lm OllamaModel
  2. 2Trigger at MorningCronStarts it
  3. 3Basic LLM Chain1Chain LlmModel
  4. 4Get many tasksGoogle TasksService
  5. 5CodeCodeLogic
  6. 6Code (Filter Due Today)CodeLogic
  7. 7Send a message1SlackService
  8. 8IfIfLogic
  9. 9Code (Build LLM Prompt)CodeLogic
  10. 10Slack1SlackService

How it's built

Starts on
A clock
Steps
10, with 1 branch
Size
Medium: a working afternoon
Connects to
Slack
Model
a local model

Questions

What does it need to run?

An n8n account, plus your own Slack account, and a key for a local model. 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 a local model. 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.