Automation library · Research and reporting

Food image analysis for calorie estimation with Vision AI

Started by an incoming Telegram message, and works across Gmail and Telegram. It hands the judgement calls to OpenRouter. 6 steps: small enough to read in one sitting and change without fear.

SmallCalls a model: OpenRouter

6 stepsSmall: readable in one sitting
0Branches: places the flow splits
0Loops or waits
2Services it connects to

The flow

Starts it 1Model 3Logic 1Service 1

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

  1. 1Structured Output ParserOutput Parser StructuredModel
  2. 2Telegram TriggerTelegram triggerStarts it
  3. 3OpenRouter Chat ModelLm Chat Open RouterModel
  4. 4AI Agent - 食材分析AgentModel
  5. 5Format for GmailCodeLogic
  6. 6Send a message1GmailService

How it's built

Starts on
An incoming Telegram message
Steps
6
Size
Small: readable in one sitting
Connects to
Gmail, Telegram
Model
OpenRouter

Questions

What does it need to run?

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

What starts it?

It starts on an incoming Telegram message.

Does it use AI?

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

How long does it take to set up?

Not long. At 6 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 6 steps before you point it at anything that matters.