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Adept AI ACT‑1 Personal Agent: Case Study on Monthly Earnings of 20,000 RMB

Workflow: Collect brief customer requirements daily from Telegram or email channels, and use LangChain to invoke ACT‑1 for copywri

AGENT

Key Fields

FIELD STAMPS

IndustryMarketing / Advertising

RegionUS

ScaleSME

ChannelOnline

🔧 Workflow

Collect brief customer requirements daily from Telegram or email channels, and use LangChain to invoke ACT‑1 for copywriting or script generation. Then, send the finished product back to the customer via automated scripts and record transaction data, completing the requirement-generation-delivery closed loop. The average production time per order does not exceed 5 minutes, and the system automatically queues and processes concurrently to ensure efficient delivery. Daily generated reports are sent to the personal CRM for subsequent review and accounting statistics.

🛠 Setup Requirements

① Basic Python proficiency; ② Apply for a developer account on the official Adept AI website and enable the ACT‑1 API; ③ Build the invocation pipeline using LangChain or an Adept-compatible SDK. ④ Deploy on a VPS or cloud server; it takes about 1-2 weeks to go live after completion, during which API debugging and security hardening are required. Essential tools include Git and Docker for version management and containerized deployment. Additionally, configuring a CI/CD pipeline is recommended to improve maintenance efficiency.

🧰 Toolchain

🔧 Adept AI ACT‑1 API
🔧 LangChain
🔧 Python
🔧 Git
🔧 Docker

💰 Revenue

Approximately 20,000 RMB/month (200 RMB per article, average of 100 orders per day, peaking at 150 orders), with cumulative annual revenue close to 250,000 RMB in 2025. During peak periods, bulk orders can push revenue past 30,000 RMB, and seasonal promotions (such as Singles' Day) can still boost revenue by 30%. Revenue mainly comes from three types of services: copywriting, code snippets, and small FAQ bots, with gradually increasing customer stickiness.

💸 Cost

ACT‑1 API cost is about $0.03/token, totaling around 3,000 RMB per month; VPS server rental is about 300 RMB; tools like Git and Docker are free; other miscellaneous fees (domain, SSL) are about 200 RMB/month, bringing the total cost to around 3,500 RMB. If using higher concurrency configurations, API costs will rise with token consumption, requiring a flexible budget reserve. API costs can be reduced by about 15% by purchasing annual plans or using coupons.

⏱ Time Investment

About 4 hours per day: 2 hours for requirement communication and screening, 1.5 hours for model generation and quality proofreading, 0.5 hours for delivery and follow-up. 1 hour can be scheduled on weekends for system maintenance and Prompt optimization to ensure continuous improvement in model output quality. During peak periods, overtime can be appropriately extended to 6 hours to meet sudden surges in orders.

🚀 Getting Started

1) Log in to the official Adept AI website to complete real-name verification and obtain the API Key; 2) Read the official API documentation and quickly run a single invocation using the LangChain examples; 3) Publish "AI copywriting + code generation" services in social circles or freelance platforms, starting with a small-scale trial operation to accumulate case studies and reputation. 4) Validate model performance through free trial quotas and gradually build a Prompt template library. 5) After completing the first order, collect customer feedback and iterate on Prompts to improve conversion rates.

🔑 Keys to Success

✅ Precise requirement breakdown and Prompt design
✅ High-frequency reusable Prompt template library
✅ Multilingual model fine-tuning to enhance domain-specific performance
✅ Automated scripts for concurrent invocation and batch generation
✅ Integration with CRM systems (such as HubSpot) for customer management

⚠️ 风险

⚠️ API price fluctuations or billing rule adjustments compressing profit margins
⚠️ Unstable model output quality requiring manual review, which increases costs
⚠️ Data privacy compliance risks, requiring encrypted storage when handling sensitive commercial customer information
⚠️ Competitors launching lower-priced or higher-performance models, leading to loss of business

📌 Real Cases

📌 Zhang Hao (Freelance Writer)：Provided commercial copywriting services via ACT‑1 in 2025, with a monthly income of about 22,000 RMB
📌 Li Qian (Indie Developer)：Utilized ACT‑1 to automatically generate Python scripts in 2025, taking 80 orders per month with an income of about 18,000 RMB
📌 Chen Lei (Small Startup Team)：Provided intelligent FAQ customer service for their own SaaS product in 2025, saving about 12,000 RMB in labor costs per month

Sources