--- title: "Unique Friends | Wenweisi Studio's Wen Qin: Creating Every Piece with Care" author: "Unique Research" sourcePublication: "Unique Research Substack" originalPublishedAt: "2025-11-12T08:00:25+00:00" canonical: "https://ffcap.cn/en/research/src-20251112-03html" source: "https://uniqueresearch.substack.com/p/src-20251112-03html" language: "en" --- # Unique Friends | Wenweisi Studio's Wen Qin: Creating Every Piece with Care _Original · Unique Research · 2025-11-12_ Editorial note: This is a complete English edition of the historical article and interview. Collaboration, workflow and time-saving claims reflect the source and Wen Qin’s account, not independently verified current results. Wenweisi Studio transliterates 温维斯工作室; Daisy translates 雏菊 rather than asserting an official English release title. The source omits the Q4 question but retains its answer; that structure is preserved below. Step back from today's content industry and an interesting paradox appears: tools are becoming smarter and barriers are falling, yet fewer works are truly remembered. Everyone is using AI, but the images that remain lodged in your mind often still come from creators with a distinctive personal signature. Wen Qin is such a person. He chose three labels for himself: creativity, texture and fun. They may sound abstract, but watch the images he creates with AI—a robot extending a mechanical hand to cradle a daisy, science-fiction visuals with a touch of retro grain, and restrained yet emotionally rich music—and you understand that these are not self-applied slogans, but the natural result of long-term aesthetic training. From Someone Who Loved Making Content to an AIGC Creator Wen Qin's path into AIGC did not begin with a grand narrative. It began with a simple fact: he already loved video, images and music. While running his own content channel, he explored what AI could do for content: first using AI to help develop ideas and write copy, then experimenting with image and video generation, and gradually turning scattered trials into a complete workflow. By the time Wenweisi Studio was formally established, he had quietly moved from being someone who knew how to use tools to someone with a complete content methodology. What truly brought him wider recognition in the field was a somewhat dramatic collaboration: he joined Kuaishou's Kling AI director co-creation programme and worked with director Wang Zichuan on the film Daisy. His key choice was to avoid conventional realistic visual language and instead use robots and science fiction to tell a story of emotion and warmth. It may look highly technical, but the underlying decision was aesthetic: he believed a science-fiction shell could carry extremely delicate human feelings. That is a dividing line between creators. Everyone may be using AI to generate images, but some are merely adjusting parameters while others are making stylistic and world-building choices in service of a narrative. A Small Team + an AI Strategist: a New Unit of Production In organisational terms, Wen Qin did not embrace the extreme of a one-person company; he chose a small, lean team. The reason is simple: communication is fast and efficiency is high. AI can generate storyboards, polish scripts and propose ten alternatives, but deciding whether to proceed, which option to choose and how to maximise the result within a limited budget still requires several people to debate face to face. One person can become closed off; a large team can become sluggish; a small team can sustain sufficiently dense experimentation while keeping decisions agile. Within this structure, he describes AI as both a super-assistant and a strategist. Break down his day and many recurring scenarios appear. Faced with a vague project brief, he first gives it to ChatGPT and Gemini to identify priorities and map risks. When developing a visual concept, he works with Midjourney, Kling AI, Jimeng AI and Vidu to refine its character: cool or warm, realistic or surreal, more industrial or more fairy-tale. Project collaboration goes into Feishu, giving every fragment of inspiration somewhere to land. AI handles the problems that can be structured and broken down: drafting a first version, revising a third, making lists and comparing options. The remaining half is work algorithms cannot do—judging whether Option A better fits the brand's character, deciding where a piece of music should suddenly tighten, and explaining to a client that the issue is narrative rather than technical. He says AI frees roughly 50% of his time. A more precise description may be that AI removes 50% of the mechanical work, leaving him more energy for the half that truly determines the quality of the finished piece. The Essence of Monetisation Is Turning Capability into a Replicable Product For many people, how AIGC creators make money remains somewhat mysterious. Paid content lets him turn his understanding of AIGC creation into knowledge products that can be sold repeatedly instead of serving only one client. Consulting packages the pitfalls he has encountered and the workflows he has developed into guidance that helps other teams avoid detours. Advertising partnerships combine his personal IP with brand narratives, using visual work to carry a company's vision of futurism and technology. The new possibilities created by AI go beyond reducing costs and increasing efficiency: individual capabilities can be standardised, packaged and distributed more easily. A complete service that once required an institution—from concept and execution to review—can now be handled by a small team. Services that once depended heavily on one-to-one human oversight can also be separated into templates, presets, courses and toolkits, becoming scalable businesses. Simply put, AI allows creators to gradually shift from selling time to selling results and methods. What Becomes Scarce When Productivity Approaches the Unlimited? Asked where AI creates the greatest leverage, Wen Qin did not dwell on claims such as tenfold efficiency. He looked further ahead: He has felt significant improvements in efficiency and creativity, but what really concerns him is what will rise to the top of the value chain as productivity tools grow ever more powerful. As models iterate and generation quality improves, producing a respectable image or a watchable video will become increasingly easy. At the same time as the barrier falls, the audience's aesthetic threshold rises—rough, formulaic AI content will quickly be relegated to the noise. After that, what determines the difference in the work is no longer what model you use, but: Can you tell a story that others can't tell? Can you express the same theme in a way that belongs only to you? Can you pick out the truly distinctive image from a vast field of generated results? He repeatedly stresses the importance of a strong core in good content. What is that core? Your observation of the world, the life experience you have accumulated, and your willingness to put your true self into the work. A model can help you write dialogue, but it can hardly decide for you what a character truly fears or wants; AI can generate countless robot designs, but only the creator knows which expression best conveys that subtle tenderness. To Become an AI Creator, Learn Three Things First Wen Qin's experience points to three capabilities worth developing in advance if you want to become an AI creator, run an AI-focused media channel or build a one-person company. The first is tools, but he does not believe accumulating tools has value in itself. What matters is mastering at least one basic set of AI tools, understanding the scenarios each suits, and knowing how to ask good questions and set good constraints rather than being led by the tools. Knowing how to drive matters far more than memorising a car's specifications. The second is the habit of thinking. He especially values three habits: innovative thinking, user thinking and long-term thinking. Innovation does not mean dreaming up a world-shaking idea every day; it means daring to find a different form of expression within a mature subject. User thinking means always remembering whom the content serves and what that person can take away. Long-term thinking prevents a single piece of data from controlling your emotions, allowing you to refine your sense of direction across an entire quarter or year. The third is industry understanding. AI changes so quickly that without basic curiosity about new technology, you will soon fall out of the conversation. He keeps two tracks running in parallel: closely following industry developments and continually exploring the limits of new tools, while going deep into a vertical that genuinely interests him. The goal is not merely to be someone who can use AI, but someone who has produced results with AI in a specific scenario. This combination is the real moat for individuals in the AI era. When AI Becomes Your Strategist, How Do You Preserve Yourself? One detail about Wen Qin is especially striking: when he talks about AI, he almost never frames himself through anxiety about being replaced or not being replaced. He is more concerned with how a person can preserve their uniqueness in a world of increasingly powerful tools. His answer is contained in those three labels—creativity, texture and fun. Creativity means daring to propose less conventional solutions, such as using robots and a science-fiction shell to tell an emotional story. Texture means insisting on details in every frame and passage of sound—details the eye can see and the heart can feel. Fun means preserving a little unpredictable space beyond pure efficiency, so that the work is not only correct but also enjoyable. When AI is intelligent enough, doing something correctly becomes easier and easier. The real differentiation comes from making the thing that only you can make. Perhaps looking back at this history many years in the future, what we remember is not the version number of a certain model, but how creators like Wen Qin used the tools in their hands to carve the preferences of an ordinary person into a clear personal trajectory. That trajectory will tell us that the end of AI is not homogenisation, but a more extreme and sharper individual. Selected Interview Q&A Q1: Could you briefly introduce yourself and describe yourself in three words? Wen Qin: Hello, everyone. I am Wen Qin, an AIGC creator and the founder of Wenweisi Studio. I would describe myself in three words: creative, textured and fun. Q2: How did you arrive at your current position as an AIGC creator? Wen Qin: I began by running my own content account, publishing material while studying AIGC—from images and text to video, and then music-related work. I already happened to enjoy these things, so by following my interests I naturally found my position as an AIGC content creator. Q3: What do you think is the most obvious trend in your field? Wen Qin: The most direct trend is that everyone wants content that is more creative, reduces costs and increases efficiency, and can still be delivered on time. Whoever achieves all three has an advantage. Wen Qin: An important milestone was joining Kuaishou's Kling AI director co-creation programme and co-creating the film Daisy with director Wang Zichuan. The key decision was to use robots and a science-fiction style for the film's visuals and narrative, ensuring that its character matched the story. Q5: Do you currently work alone or with a team? Why did you choose that model? Wen Qin: I currently work with a small, lean team. That keeps communication costs low and coordination efficient. We can align quickly on many decisions without letting process slow us down. Q6: What role does AI play in your daily workflow? Wen Qin: I treat it as a super-assistant and a very reliable strategist. It helps me structure problems, propose solutions and generate inspiration, but I still have to handle the parts that truly require communication and judgement. It frees roughly half of my capacity. Q7: What does your usual AI toolkit look like? Wen Qin: Project collaboration: Feishu Content conception: ChatGPT, Gemini Asset generation: Midjourney, Kling AI, Jimeng AI, Vidu Q8: How do you currently monetise your work? Wen Qin: Mainly through paid content, consulting services and advertising partnerships. With AI capabilities, an individual's experience, aesthetics and methodology can all become shareable, replicable and saleable content and services, making monetisation much more varied than before. Q9: Where does AI provide the greatest leverage for you? Wen Qin: It improves both creativity and efficiency. As tools become more powerful, productivity will continue to rise. What then becomes truly scarce is the creative core, narrative ability and value density of the content itself. The core of good content becomes even more important. Q10: What would you recommend preparing in advance for someone who also wants to become an AI creator or run an AI-focused content channel? Wen Qin: Skills: Master at least one set of basic AI tools and know how to use them correctly. Thinking: Establish innovative thinking, user thinking and long-term thinking. Industry understanding: Stay curious about new technology, continue following industry developments, and go genuinely deep into one vertical. --- Original publication: https://uniqueresearch.substack.com/p/src-20251112-03html On-site reading page: https://ffcap.cn/en/research/src-20251112-03html