This course is a product monetization methodology summarized by the instructor based on over a year of practical experience developing dozens of products with AI. The core goal of the course is not to teach you a specific AI tool, but to help you build a complete product thinking framework from topic selection, research, development, and launch to promotion and monetization. The instructor frankly admits that most products failed, but the two products that truly worked are still generating income today, and these lessons are the most valuable part of the course.

The course precisely solves the two core problems that ordinary people most easily encounter when building AI products. The first problem is not knowing what to build. Many people appear to be learning AI tools but are actually avoiding judgment about product direction. The course will teach you how to judge whether an AI product direction is worth pursuing, how to avoid self-indulgent products, and how to respond quickly when trends emerge. The second problem is not knowing how to sell. Many developers build products but cannot find their first batch of users and do not know how to design payment points. The course systematically explains the complete process from transaction path design to public domain platform promotion.

The course is delivered in the form of manuals plus recorded courses plus live Q&A plus template materials, covering 6 stages of learning content, from product opportunity assessment and product selection research to MVP design and AI-assisted development, then to launch promotion and monetization review. Every step has clear methodology and practical tools. Even if you completely do not understand code, you can master the complete path of using AI to complete a product from 0 to 1 at low cost through the course.

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• 1.Three Core Principles of AI Products from Topic Selection to Validation
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• 2.How to Judge Whether an AI Product Direction Is Worth Pursuing
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• 3.How to Determine a Product's Business Model and Pricing Method
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• 4.Product Selection Methods and Logic Explained
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• 5.Product Transaction Path Design
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• 6.How to List Products on Douyin and Xiaohongshu
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• 7.Software Product Selection Logic Analysis
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• 8.Product Development Process Explained
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• 9.Mobile and PC Page Layout Design
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• 10.Backend Development Data Table Structure Design
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• 11.如何设计数据表
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• 12.Vercel Deployment Process and Setup
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• 13.Common Backend Development Issues and Solutions
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• 14.Caching, Loading, and Rendering Issues
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• 15.AI Practical Course Opening Live Broadcast
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• 16.AI Product Course Live Session 1
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• 17.AI Product Course Live Session 2
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• 18.Product Hands-On Q&A Live Session 3
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💡 Learning Tip:Content reflects industry practices at time of publication. Please refer to the latest platform rules when learning.