Core Insights - The rise of intelligent agents has created a lucrative sector in technology, attracting a diverse range of developers, including those without programming skills [1][3] - The survival conditions for the first batch of intelligent agent developers in China are more complex compared to their counterparts in Silicon Valley [3][6] Developer Landscape - The first batch of intelligent agent developers in China can be characterized as "grassroots," with many lacking traditional programming skills but leveraging low-code platforms to create functional products [4][5] - The age range of developers is broad, with participants as young as 9 and as old as 51, indicating a unique phenomenon in the domestic market [5] Market Dynamics - The domestic low-code and no-code platforms have significantly lowered the technical barrier, allowing a wider range of individuals to participate in development [6][8] - The demand for niche solutions in China has amplified the value of creativity among grassroots developers, who focus on specific problems in various sectors [8] Revenue Challenges - Despite the flourishing development scene, the monetization of intelligent agents in China is significantly more challenging than in overseas markets, where subscription models are well-established [9][11] - Domestic developers often face low willingness to pay from end-users, leading to a long commercial startup cycle and low conversion rates from free trials [11][12] Survival Strategies - Grassroots developers have adopted pragmatic survival strategies, often integrating their agents into established ecosystems of major internet platforms to generate revenue [12][14] - Some developers focus on small, niche markets that larger companies overlook, allowing them to create stable income streams despite lower earnings [17][18] Future Directions - The development of intelligent agents has lowered the entry barrier for ordinary individuals, highlighting the vitality of grassroots developers in China's AI industry [22] - To attract more participants, low-code platforms need to enhance their commercial frameworks and support developers in monetizing their creations effectively [25][27]

Core Viewpoint - AI technology is revolutionizing the home retail industry, fundamentally changing the rules of the game [1]. Group 1: AI Efficiency in Home Retail - Traditional human translation of a 150,000-word book costs 18,000 yuan and takes 20 days, while AI tools can accomplish this in just 5 hours at a negligible cost [4]. - AI solutions for the home industry include generating 3D effect images with Ji Meng AI, creating marketing content with DeepSeek and Feishu, personalized recommendations with Coze, and producing differentiated marketing videos with Jianying AI [4]. Group 2: Practical Application of AI Tools - During a practical session, the instructor demonstrated generating 10 different styles of promotional text for a sofa image, showcasing various themes such as "healing" and "promotional" [4]. - The "subject recognition" technology was highlighted as a solution to common product distortion issues in AI-generated images, ensuring professional display quality [4]. Group 3: Optimizing AI Tool Usage - The key to effectively using AI tools lies in mastering "precise instruction design," with the SMART principle recommended for optimizing commands [6]. - Examples of effective commands include generating promotional text aimed at specific demographics with measurable outcomes, such as increasing click-through rates by 20% [6]. Group 4: Future of Work with AI - Concerns about AI replacing human jobs were addressed with the "carbon-based + silicon-based" collaboration model, emphasizing that human creativity and emotional intelligence remain irreplaceable [6]. - The future of work will involve human-AI collaboration, with those who master AI thinking becoming industry leaders [6]. Group 5: Conclusion and Industry Implications - The course concluded with a quote from NVIDIA CEO Jensen Huang, highlighting that every job will be influenced by AI, leading to the disappearance of some roles and the redefinition of others [7]. - The growth potential in the home industry lies in selecting appropriate tools, identifying practical applications, and establishing effective human-AI collaboration mechanisms [7].