Automation library · Chat assistants

Generate personalized travel itineraries with Llama

Started by an incoming WhatsApp message, and works across Email and WhatsApp. It hands the judgement calls to a local model. 8 steps, 1 branch: small enough to read in one sitting and change without fear.

SmallCalls a model: a local model

8 stepsSmall: readable in one sitting
1Branch: places the flow splits
0Loops or waits
2Services it connects to

The flow

Starts it 1Model 2Logic 2Service 3

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

  1. 1AgentLm OllamaModel
  2. 2Get Query from EmailEmail Read ImapService
  3. 3Get Query from WhatsAppWhats App triggerStarts it
  4. 4Itinerary Creator AgentChain LlmModel
  5. 5Check Proper DataSetLogic
  6. 6Check where to send AnswerIfLogic
  7. 7Sending Itinery from EmailEmail SendService
  8. 8Send Itinery from messageWhats AppService

How it's built

Starts on
An incoming WhatsApp message
Steps
8, with 1 branch
Size
Small: readable in one sitting
Connects to
Email, WhatsApp
Model
a local model

Questions

What does it need to run?

An n8n account, plus your own Email and WhatsApp accounts, and a key for a local model. You connect your own accounts after importing it; none are included.

What starts it?

It starts on an incoming WhatsApp message.

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?

Not long. At 8 steps it can be read in one sitting and changed without fear.

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 8 steps before you point it at anything that matters.