n8n AI Workflow: 5 Real-World Examples

You've learned how to use n8n's AI nodes, but you're not sure what practical things you can actually do with them. Let's take a look at a few real-world examples to get a feel for it.

💡 What You Will Learn

You've learned how to use n8n's AI nodes, but you're not sure what practical things you can actually do with them. Let's take a look at a few real-world examples to get a feel for it.

{
  "name": "AI",
  "nodes": [
    {"type": "scheduleTrigger", "interval": "8:00"},
    {"type": "httpRequest", "url": "https://hacker-news.firebaseio.com/v0/topstories.json"},
    {"type": "openAi", "model": "gpt-4o-mini",
     "prompt": "AI"},
    {"type": "weChatWork", "channel": ""}
  ]
}

def email_routing(email_body):
    intent = llm_classify(email_body, ["", "", "", ""])
    if intent == "":
        order = db.query("SELECT * FROM orders WHERE email = ?")
        return f"#{order['id']}{order['return_url']}"

[Webhook] -> [LLMEN/JA/KR] -> [/WordPress]

def ai_data_cleaner(csv_path):
    """AI"""
    columns = llm_infer_types(pd.read_csv(csv_path).columns.tolist())
    for col, dtype in columns.items():
        if dtype == "date":
            df[col] = pd.to_datetime(df[col], errors="coerce")
    return df