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n8n and Dify Custom Workflow Services: A Revenue System Starting at 5,000 RMB per Project with 20,000 RMB Monthly Potential

Workflow: Spend 2 hours each morning in communities and on social media responding to client inquiries and defining requirements.

AGENT

Key Fields

FIELD STAMPS

IndustryAI / LLM

RegionChina

ScaleSME

ChannelOnline

🔧 Workflow

Spend 2 hours each morning in communities and on social media responding to client inquiries and defining requirements. Spend 4 hours in the afternoon orchestrating trigger nodes in n8n (e.g., WeChat webhooks, email polling), calling LLM workflows deployed in Dify via HTTP requests for semantic analysis or content generation, and then pushing results back via Feishu bots or WeCom APIs. The input consists of raw client Excel tickets or customer service chat logs, while the output is structured forms with classification tags and auto-filled draft replies. After completing a project, extract general modules into n8n sub-workflow templates for your private library to be reused in future projects.

🛠 Setup Requirements

Setting up the basic environment requires a 2-core 4GB cloud server (approx. 60 RMB/month) to deploy the n8n community version and Dify open-source version, along with an OpenAI API key or a domestic Zhipu GLM interface. Technical requirements include understanding JSON data structures, writing simple Python scripts for data cleaning, and familiarity with n8n's 22 core nodes and Dify's workflow canvas. For beginners, following practical tutorials from XTCer and HolySheep, investing 3 hours a day, allows you to master the first standard AI customer service template in 2-3 weeks and independently handle 5,000 RMB custom orders within a month.

🧰 Toolchain

🔧 n8n
🔧 Dify
🔧 Coze
🔧 OpenAI API
🔧 Feishu Bot
🔧 Zhipu GLM
🔧 WeCom API
🔧 Alibaba Cloud Server

💰 Revenue

Average monthly income ranges from 20,000 to 35,000 RMB. Standard packages are priced at 3,000 to 5,000 RMB with a 3-day delivery cycle, while deep customization packages range from 8,000 to 15,000 RMB with a 7 to 10-day cycle. Backend maintenance and hosting services can provide 500 to 2,000 RMB per month, creating recurring passive income. According to Lao Da AI Blog and XTCer, skilled developers can exceed 20,000 RMB in monthly revenue by consistently closing 4 to 6 standard orders.

💸 Cost

Fixed costs include 60 RMB/month for a cloud server, an optional ~20 USD/month for n8n Cloud Pro, and ~80 RMB/year for domain SSL. Variable costs are primarily LLM API usage fees (approx. 1.5 USD per 10,000 requests for gpt-4o-mini; single-project interface fees are usually kept between 200 and 500 RMB). Overall, the net profit margin for 4 orders per month can reach over 75%.

⏱ Time Investment

Average daily investment is 4 to 6 hours: 2 hours for client communication and requirement scoping, 3 hours for n8n canvas orchestration and Dify workflow debugging, and 1 hour for testing, deployment, and delivery acceptance. During large projects, you may work up to 8 hours on Sundays, while during maintenance periods, this drops to 1 hour per day.

🚀 Getting Started

Step 1: Register for n8n and Dify accounts and follow XTCer's no-code tutorials to build a working template for automated email classification and replies. Step 2: Record the process with subtitles and post it on Xiaohongshu and Bilibili, using titles that highlight '20,000 RMB/month with no-code' to attract SME inquiries. Step 3: Join 5+ AI automation lead-generation groups and offer to build a small tool for the group owner for free to gain social proof. You can lower the price of your first order to 800 RMB to build a case study, then gradually increase it to over 3,000 RMB after securing payment screenshots.

🔑 Keys to Success

✅ Accumulate 30+ n8n sub-workflow modules in advance, covering customer service, data scraping, and content generation to achieve 70% reuse for new projects, reducing costs and increasing speed.
✅ Always sign a written scope confirmation document for every project, listing excluded features and rules for extra charges on scope creep to prevent profit erosion.
✅ Upsell annual maintenance and hosting packages to clients to convert one-off deliveries into monthly subscriptions, locking in clients and increasing lifetime value.
✅ Consistently publish practical screen recordings on Xiaohongshu and Bilibili (2 updates per week); organic traffic contributes to 60% of new inquiries.

⚠️ 风险

⚠️ Client business systems are outdated and lack open APIs, causing n8n to fail to connect and leading to severe project delays during the data integration phase.
⚠️ LLM API costs spiral out of control; if client conversation volume surges, hidden monthly bills can eat into profits.
⚠️ Tencent risk control bans personal WeCom interfaces, causing automated push chains to break suddenly and requiring emergency reconstruction to switch channels.

📌 Real Cases

📌 According to XTCer's practical sharing, an independent developer transitioned from copywriting to AI workflow customization, accumulating 15 standard modules in 3 months and earning a stable 20,000 RMB/month through lead-generation groups, with the highest single automation system quote reaching 15,000 RMB.
📌 Lao Da AI Blog recorded a full-time mother who learned n8n and Dify orchestration in just 2 weeks. By posting service information on Xianyu and Xiaohongshu, she averages 3 to 4 orders per month at 5,000 RMB each, achieving a 15,000 to 20,000 RMB monthly side income from home.
📌 Tixiao Lu platform case analysis shows a programmer using n8n and Dify to build an automated order-tracking system for cross-border e-commerce, quoting 8,000 RMB per project and charging an 800 RMB monthly maintenance fee. After replicating the same template for 5 clients, total monthly income exceeded 30,000 RMB.

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