Building an AI Text Processor Using n8n, Python, and OpenAI — A Fun Low-Code Experiment

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It started as a weekend experiment: “Can I stitch together a small AI pipeline using low-code tools?”

I wasn’t aiming to build a full application — just something playful but practical. Something that shows how modern automation stacks like n8n, OpenAI, and a little Python can work together to produce real meaning out of raw text.

What came out of it was a neat little workflow:

And honestly… it was pretty fun.

Why n8n? Why Python? Why Not Just ChatGPT?

Because this isn’t about a single answer — it’s about:

  • automating steps
  • chaining models
  • building a pipeline you can run again and again
  • understanding what low-code tools make possible in 2025

This small workflow is enough to show the power of building your own tiny AI-powered application without writing hundreds of lines of backend code.

Step 1: Sending Data Into n8n Using Python

Everything begins with a simple Python script.
This script sends a title, a body of text, and a few metadata fields to your n8n webhook.

Here’s the exact script I used:

import requests

# Your n8n webhook-test URL
WEBHOOK_URL = "https://techhorizoncity.app.n8n.cloud/webhook-test/7e5a637b-e170-46df-869f-a7dcd2114cbd"

# Security header (must match your Webhook Required Header)
API_KEY = "mysecretkey"

payload = {
    "title": "The Story of Silent Breakfast Clubs",
    "text": """In 2025, a curious trend emerged across major cities: people started hosting “Silent Breakfast Clubs.”
These were early-morning meetups where strangers sat together in cafés, enjoyed their meals, and didn’t speak a single word.
The idea began as a social experiment in Helsinki and quickly spread globally through TikTok.
Participants claimed that starting the day in quiet company felt strangely energizing — like sharing a moment of mindfulness without the pressure to make conversation.
Some cafés even redesigned their interiors with softer lighting, slow instrumental playlists, and minimal-noise cutlery to enhance the atmosphere.
Psychologists suggested the trend reflected people’s increasing desire for connection without emotional overwhelm, especially in fast-paced urban environments.
Whether it will last or fade away like many viral movements remains to be seen, but for now, Silent Breakfast Clubs have become a calm rebellion against the noisy world outside.
""",
    "source_type": "text",
    "user_id": "local_test_001"
}

headers = {
    "Content-Type": "application/json",
    "x-api-key": API_KEY
}

response = requests.post(WEBHOOK_URL, json=payload, headers=headers)
print("Status Code:", response.status_code)
print("Response:", response.text)

The moment you run this script, n8n springs into action.

Step 2: n8n Processes the Payload

Inside n8n, I built a small but powerful chain:

  1. Webhook node – catches the incoming Python payload
  2. SET node – cleans and restructures the data
  3. JavaScript node – explicitly passes fields onward
  4. Four OpenAI nodes – each doing a different job
  5. Final JS node – combines everything into a single string
  6. n8n “Write Binary File” node – outputs a downloadable text file

This creates a mini-AI assembly line.

The Four OpenAI Nodes

Each OpenAI node receives the same text but performs a different transformation:

  1. Summary
  2. Cheat Sheets
  3. Flashcards
  4. Questions

It’s like running your content through four specialists.

Step 3: Combining Everything Into One File

Once the OpenAI nodes finish, I pass their individual results into a final JavaScript node that stitches everything together.

The node creates a clean, readable, multi-section text block.

Then the “Write Binary File” node turns it into a downloadable file.

What You Get At the End

After running the workflow, I downloaded a single .txt file containing:

  • A summary
  • Cheat Sheet
  • Flashcards
  • Questions

All automatically generated, output below:

============================================================
SUMMARY
============================================================

In 2025, "Silent Breakfast Clubs" emerged as a global trend where strangers gathered in cafés to eat together without speaking. Originating in Helsinki and popularized on TikTok, the movement offers a mindful, peaceful start to the day. Cafés adapted by creating quieter, soothing environments. Psychologists see it as a response to people's desire for connection without emotional strain in busy cities. The trend’s longevity is uncertain but currently serves as a calm escape from daily noise.


============================================================
CHEAT SHEET
============================================================

# Cheat Sheet: The Story of Silent Breakfast Clubs

---

### Overview
- **What:** Early-morning meetups called *Silent Breakfast Clubs* where strangers eat breakfast together without speaking.
- **When:** Emerged in **2025**.
- **Where:** Started in **Helsinki**, then spread globally.

---

### Origin
- Began as a **social experiment** in Helsinki.
- Popularized and spread worldwide via **TikTok**.

---

### Key Characteristics
- Participants **eat breakfast in silence**.
- Focus on **quiet companionship** and shared mindfulness.
- No forced conversation or social pressure.

---

### Atmosphere Enhancements by Cafés
- Softer, warmer **lighting**.
- Slow **instrumental music** playlists.
- Use of **minimal-noise cutlery**.

---

### Psychological & Social Insights
- Reflects a growing desire for **connection without emotional overwhelm**.
- Especially relevant in **fast-paced urban environments**.
- Provides a form of **calm rebellion** against constant noise and stimulation.

---

### Significance
- Claimed benefit: Feeling **energized and mindful** at the start of the day.
- Represents a trend toward **intentional, peaceful social experiences**.
- Future status is uncertain — could **last or fade away like viral trends**.

---

### Summary
Silent Breakfast Clubs combine social connection with mindfulness by offering a quiet, pressure-free communal breakfast experience that counters the noisy, hectic modern world. Their rise highlights changing social needs for calm and presence amid urban life.


============================================================
FLASH CARDS
============================================================

Flashcard 1  
Q: What are Silent Breakfast Clubs?  
A: Early-morning meetups where strangers eat breakfast together in silence.  

Flashcard 2  
Q: Where and when did the Silent Breakfast Club trend begin?  
A: In Helsinki, 2025.  

Flashcard 3  
Q: How did the Silent Breakfast Club trend spread globally?  
A: Via TikTok.  

Flashcard 4  
Q: What benefit did participants report from Silent Breakfast Clubs?  
A: Feeling energized and mindful without the pressure to converse.  

Flashcard 5  
Q: How did some cafés adapt to the Silent Breakfast Club trend?  
A: By using softer lighting, slow instrumental music, and minimal-noise cutlery.  

Flashcard 6  
Q: What psychological need do Silent Breakfast Clubs fulfill?  
A: Connection without emotional overwhelm in fast-paced urban life.  

Flashcard 7  
Q: What is uncertain about the future of Silent Breakfast Clubs?  
A: Whether the trend will last or fade like other viral movements.  

Flashcard 8  
Q: How are Silent Breakfast Clubs described in relation to the noisy outside world?  
A: As a calm rebellion against noise.


============================================================
QUESTIONS
============================================================

Here are 10 practice questions based on the content you provided:

1. What is the main concept behind the "Silent Breakfast Clubs" that emerged in 2025?
2. In which city did the Silent Breakfast Clubs trend originate?
3. How did the Silent Breakfast Clubs trend spread to other parts of the world?
4. What do participants say they experience when attending these silent breakfast meetups?
5. How have some cafés adapted their environments to fit the Silent Breakfast Clubs atmosphere?
6. What reasons do psychologists give for the popularity of Silent Breakfast Clubs?
7. Why might Silent Breakfast Clubs be considered a form of “calm rebellion”?
8. Describe two features that cafés incorporated to enhance the silent atmosphere.
9. How does the Silent Breakfast Clubs trend reflect changes in urban social behavior?
10. What uncertainty exists about the future of the Silent Breakfast Clubs trend?

Would you like me to provide answer keys or explanations for any of these questions?

Why This Is More Than a Toy Project

Sure, on the surface this is just:

Python → n8n → OpenAI → Text File

But in reality, this pipeline can evolve into:

  • an automated blog post generator
  • a research summarization assistant
  • a PDF-producing micro-SaaS
  • an internal document transformer
  • a batch-processing tool for long text

You don’t need a huge backend.
You don’t need to learn ten frameworks.
You don’t need to maintain servers.

A webhook + a few AI nodes + a Python script = a reliable, modular AI service.

Note: To build and troubleshoot this workflow, I leaned on both ChatGPT and Claude.ai for coding help, debugging, and quick iteration. These tools made the entire process faster and much more enjoyable.

If you’d like a copy of the full n8n workflow.json used in this tutorial, feel free to email me at admin@projectpy.com.

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