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AI-customized ebook collection automatic listing on KDP generating 30k RMB/month

Workflow: Users submit interest combination requirements via private traffic or e-commerce platforms (e.g., 'Minimalist Living + I

AGENT

Key Fields

FIELD STAMPS

IndustryMarketing / Advertising

RegionGlobal（海外）

ScaleSME

ChannelOnline

🔧 Workflow

Users submit interest combination requirements via private traffic or e-commerce platforms (e.g., 'Minimalist Living + Indoor Gardening Practical Guide', 'Cross-Border Beginner TikTok Operation Manual'). AI multi-agents break down requirements to generate content outlines. Human editors correct narrative logic, compliance, and factual accuracy before automated typesetting generates covers and EPUB files, simultaneously producing titles, keywords, and description metadata required for KDP listing. 1-2 sets of customized collections are batch-uploaded to the KDP backend daily. Upon user confirmation of the content, production fees are charged per set. The entire process takes the user's customized interest requirements as input and outputs a completed, listed KDP ebook set, running fixed daily.

🛠 Setup Requirements

Requires basic prompt engineering skills and familiarity with Python workflow integration. Can be secondary-developed based on the open-source KDP-E-Book-Generator project, paired with typesetting tools like Inkrify for automated output. Initial setup takes about 10-15 days without complex servers; an ordinary home computer is sufficient to run it. Familiarity with Amazon KDP platform content compliance and listing rules is also required to avoid violations and delistings.

🧰 Toolchain

🔧 Claude API
🔧 KDP-E-Book-Generator open-source project
🔧 Inkrify
🔧 Amazon KDP

💰 Revenue

① Custom collection production fees paid by individual creators and small e-commerce sellers (main revenue): settled per set at 600-1000 RMB per set, with an average monthly delivery of 35-45 sets, corresponding to a monthly revenue of 21,000-45,000 RMB. The proportion of this stream in total revenue has no figures (case self-report, no independent source to corroborate); ② Enterprise-level batch customized content orders: enterprises pay a one-time production fee per project with a single order value of over 3,000 RMB. The exact number of orders accepted is opaque, and the revenue volume of this stream is similarly unverified (case self-report, no independent source to corroborate), with its share of the overall market unstated; ③ Royalties distributed from own titles on KDP: settled at $2.99 to $9.99 per sale after purchase by Amazon readers, with a maximum royalty rate of 70%. In public data, the median monthly income for authors with over 25 books is $3,000, but the number of books under one's own name is undisclosed, making it difficult to check earnings in this area (media estimation, no independent verification seen), proportion unknown; ④ Opportunity item - turning AI ebook production SOPs and prompt libraries into subscriptions: charging fellow track creators on a monthly basis; pricing, number of subscribers, and revenue share all have no public information.

💸 Cost

Monthly API call fees are about 500-1000 RMB, Inkrify basic version subscription fee is 99 RMB/month, Amazon KDP listing has no fixed fees, requiring only a portion of outsourced cover polishing fees of about 50-100 RMB per order. Overall monthly operational costs can be controlled within 1,500 RMB.

⏱ Time Investment

Investing 3.5-4.5 hours daily, including 1 hour for user demand communication and final content review, 2 hours for typesetting and listing operations, and 1 hour for optimizing prompts and template libraries.

🚀 Getting Started

Step 1: Register an Amazon KDP seller account and carefully study the platform's content compliance rules and AI-generated content review requirements; Step 2: Clone the KDP-E-Book-Generator open-source project on GitHub, configure the Claude API key and Inkrify account, test generating 1 short ebook in a niche field and manually list it to verify the entire process; Step 3: Publish custom service posts on platforms like Xiaohongshu, Jike, and Upwork to acquire the first batch of seed users.

🔑 Keys to Success

✅ Precise entry into long-tail, high-purchase-intent niche interest areas to avoid direct competition with massive low-quality AI ebooks
✅ Strict human final review of content logic, typesetting compliance, and copyright risks to circumvent KDP delisting and account suspension risks
✅ Building reusable niche prompt libraries, typesetting template libraries, and listing metadata templates to enhance production efficiency
✅ Binding private user pools, iterating content directions based on user feedback, and improving repeat purchase and referral rates

⚠️ 风险

⚠️ Amazon KDP's tightening review policies for AI-generated content may lead to the delisting of certain content or even account restrictions
⚠️ If content quality falls short or copyright disputes arise, there may be risks of user complaints, refunds, and even legal action
⚠️ Demand in long-tail niche fields fluctuates significantly; product selection errors or content failing to meet user expectations may lead to insufficient orders and unstable income

📌 Real Cases

📌 A Japanese independent creator utilized Claude to assist in writing a Kindle ebook in the home organization niche, achieving 1.5 million Japanese yen (approx. 75,000 RMB) in monthly royalty income
📌 A domestic niche content practitioner built an automated workflow based on the KDP-E-Book-Generator project to customize vertical workplace skill collections, delivering a maximum of 52 sets in a single month with a net profit of 32,000 RMB
📌 An overseas freelancer provided AI-customized KDP ebook services on the Fiverr platform, charging $150 per set with an average of 40 orders accepted per month, generating a monthly income of about 43,000 RMB

Sources