{"id":2009,"date":"2025-07-13T22:15:06","date_gmt":"2025-07-13T14:15:06","guid":{"rendered":"https:\/\/www.bestainav.com\/?p=2009"},"modified":"2025-07-13T22:15:10","modified_gmt":"2025-07-13T14:15:10","slug":"%eb%a1%9c%eb%b0%94%ed%8a%b8-%eb%94%94%ec%9e%90%ec%9d%b8-%ec%97%90%ec%9d%b4%ec%a0%84%ed%8a%b8","status":"publish","type":"post","link":"https:\/\/www.bestainav.com\/ko\/%eb%a1%9c%eb%b0%94%ed%8a%b8-%eb%94%94%ec%9e%90%ec%9d%b8-%ec%97%90%ec%9d%b4%ec%a0%84%ed%8a%b8","title":{"rendered":"Lovart\uac00 \uc138\uacc4 \ucd5c\ucd08\uc758 \ub514\uc790\uc778 \uc5d0\uc774\uc804\ud2b8\uc778 \uc774\uc720\ub294 \ubb34\uc5c7\uc778\uac00\uc694? \uc88b\uc544\uc694\uc5d0 \uc5f4\uad11\ud558\ub294 \uba38\uc2a4\ud06c"},"content":{"rendered":"\n

Recently, if you have been following developments in the field of AI applications, it is almost impossible not to have heard of Lovart<\/a> (known as \u201cXingliu AI\u201d in China).<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Its debut was nothing short of stunning<\/h2>\n\n\n\n

Following its launch, the product quickly sparked a sensation in the global tech community:<\/p>\n\n\n\n

    \n
  • The official video garnered nearly a million views<\/strong><\/li>\n\n\n\n
  • Sparked nearly 5,000 discussions on Twitter<\/strong><\/li>\n\n\n\n
  • Even the notoriously discerning Elon Musk<\/strong> couldn\u2019t resist giving it a thumbs-up<\/li>\n<\/ul>\n\n\n\n

    Within just 24 hours, over 20,000 eager users flooded in<\/strong>, all vying for a precious beta invitation code.<\/p>\n\n\n\n

    \n\n\n\n

    Do we really need another design tool?<\/h2>\n\n\n\n

    You might be wondering, aren't AIGC tools already everywhere? From Midjourney<\/strong> to Stable Diffusion<\/strong>, to various complex ComfyUI<\/strong> workflows, do we really need another design tool?<\/p>\n\n\n\n

    The answer is yes \u2014 but what we need isn't just another \"tool\"<\/strong>, but a completely new \u201cproduction relationship.\u201d<\/strong><\/p>\n\n\n\n

    \n\n\n\n

    Lovart\u2019s rise: A valuable roadmap for AI entrepreneurs<\/h2>\n\n\n\n

    Amid the current AIGC tool boom and what seems like a red-hot market, Lovart\u2019s rise<\/strong> offers all AI entrepreneurs a highly valuable \u201croadmap.\u201d It answers several critical questions:<\/p>\n\n\n\n

      \n
    • How can startups carve out their own space when giants dominate the market?<\/li>\n\n\n\n
    • When technology converges, what is the true competitive barrier?<\/li>\n\n\n\n
    • When users grow tired of \u201cAI toys,\u201d what kind of product will truly make them willing to pay?<\/li>\n<\/ul>\n\n\n\n

      After deeply experiencing and researching Lovart's domestic and international versions, Chaos AI<\/strong> has reached a conclusion:<\/p>\n\n\n\n

      \n

      What Lovart is doing may not just be a product, but defining the \u201cfinal form\u201d of creative work in the AI era.<\/strong><\/p>\n<\/blockquote>\n\n\n\n

      \n\n\n\n

      From \u201ctools\u201d to \u201ccreator teams\u201d<\/h2>\n\n\n\n

      He has a clear understanding of this:<\/p>\n\n\n\n

      \n

      \u201cThe essence of SaaS is that services are provided by people, and people use tools. Now, AI has become the primary provider of services. The commercial value here is enormous, essentially enhancing or even replacing the productivity of specific professions, and restructuring production relationships.\u201d<\/p>\n<\/blockquote>\n\n\n\n

      This is the core idea of Lovart<\/strong>: upgrading AI from a \u201ctool\u201d<\/strong> to a \u201ccreative team (Creator Team).\u201d<\/strong><\/p>\n\n\n\n

      In this new model:<\/p>\n\n\n\n

        \n
      • You are no longer the sweating operator<\/li>\n\n\n\n
      • You become the client<\/strong> who defines the requirements<\/li>\n\n\n\n
      • Lovart is the service provider<\/strong> that understands your ideas and mobilizes its designers, directors, photographers (AI agents)<\/strong> to deliver the final work for you<\/li>\n<\/ul>\n\n\n\n

        This cognitive leap from \u201ctool addition\u201d to \u201cdimensional multiplication\u201d<\/strong> is the cornerstone of Lovart's success.<\/p>\n\n\n\n

        \"\"<\/figure>\n\n\n\n
        \n\n\n\n

        A new value model: the \u201cone-person creative studio\u201d<\/h2>\n\n\n\n

        Lovart introduces a new dimension of \u201cservice agentization\u201d<\/strong>, which multiplies with the existing \u201cmultimodal creation\u201d<\/strong> dimension to build an unprecedented value model<\/strong>:<\/p>\n\n\n\n

        \n

        \u201cA one-person creative studio.\u201d<\/p>\n<\/blockquote>\n\n\n\n

        \n\n\n\n

        The metaphor of a \u201ctable\u201d: How Lovart redefines interaction<\/h2>\n\n\n\n

        So, how does this seamless collaboration between the \u201cclient\u201d and the \u201cservice provider\u201d work?<\/p>\n\n\n\n

        Chen Mian<\/strong> proposed a highly insightful metaphor \u2014 the \u201ctable.\u201d<\/strong><\/p>\n\n\n\n

        \n

        \u201cIf humans return to brushes, ink, paper, and inkstones, the canvas is the table. Now, when two people are designing, the client stands beside you and tells you what to do. You place the work on the table, and they point and gesture at the table... This is the most primal form of interaction or interface.\u201d<\/p>\n<\/blockquote>\n\n\n\n

        Lovart recreates this original scenario<\/h3>\n\n\n\n

        When you open StarFlow AI<\/strong>:<\/p>\n\n\n\n

          \n
        • You\u2019ll see an infinitely large \u201ccanvas\u201d<\/strong> (the table) on the left<\/li>\n\n\n\n
        • And a dialogue box<\/strong> (the client\u2019s mouth) on the right<\/li>\n<\/ul>\n\n\n\n

          You can say in plain Chinese:<\/p>\n\n\n\n

          \n

          \u201cHelp me design a set of recruitment posters for the Chaos AI Innovation Institute, five in total, each with a different style.\u201d<\/p>\n<\/blockquote>\n\n\n\n

          Within minutes, five professionally designed posters appear.<\/p>\n\n\n\n

          If you're not satisfied, just say:<\/p>\n\n\n\n

          \n

          \u201cReplace the man in this image with a woman,\u201d
          Or: \u201cChange the style to resemble Van Gogh's.\u201d<\/p>\n<\/blockquote>\n\n\n\n

          This \u201ccanvas + dialogue box\u201d<\/strong> interaction paradigm revolutionizes the AIGC user experience.<\/p>\n\n\n\n

          \n\n\n\n

          The belief behind it<\/h2>\n\n\n\n

          The Lovart team has always upheld:<\/p>\n\n\n\n

          \n

          AI in different vertical fields requires different interaction interfaces.<\/strong>
          For design, a shared visual space<\/strong> is essential.<\/p>\n<\/blockquote>\n\n\n\n

          \n\n\n\n

          [Finding Positioning] Misaligned Competition, Wild Growth<\/h2>\n\n\n\n

          After constructing a new cognitive model, the next question is:
          Where should this new species take root?<\/strong><\/p>\n\n\n\n

          Chen Mian believes:<\/h3>\n\n\n\n
          \n

          \u201cChoosing the right track is far more important than the technology itself.\u201d<\/p>\n<\/blockquote>\n\n\n\n

          Startups should deeply consider:<\/p>\n\n\n\n

            \n
          • Which value chain is longest<\/strong><\/li>\n\n\n\n
          • Most painful<\/strong><\/li>\n\n\n\n
          • Most reliant on human collaboration<\/strong><\/li>\n\n\n\n
          • Can be fully integrated end-to-end by AI agents<\/strong><\/li>\n<\/ul>\n\n\n\n
            \n\n\n\n

            Avoiding giants, embracing verticals<\/h2>\n\n\n\n

            Chen Mian and his team chose a path entirely different from the mainstream \u2014 vertical, focused, and rooted in the creative field<\/strong>.<\/p>\n\n\n\n

            While Adobe and Midjourney dominate the broader market, Lovart focuses on:<\/p>\n\n\n\n

              \n
            • Creative freelancers<\/strong><\/li>\n\n\n\n
            • Professional consumer (Prosumer) segments<\/strong><\/li>\n<\/ul>\n\n\n\n
              \n

              \"Many startups fail by directly competing with industry giants... The opportunity lies in combining domain knowledge with AI to create unique user experiences.\"<\/p>\n<\/blockquote>\n\n\n\n

              \n\n\n\n

              Redefining creators as directors<\/h2>\n\n\n\n

              Lovart doesn't aim to build better tools.<\/p>\n\n\n\n

              It aims to redefine creation<\/strong>, transforming users from \u2018operators\u2019<\/strong> into \u201cdirectors\u201d<\/strong> who enjoy creative results directly.<\/p>\n\n\n\n

              \n\n\n\n

              A bold bet on the S-curve<\/h2>\n\n\n\n

              Lovart\u2019s success comes from its precise trend judgment.<\/p>\n\n\n\n

                \n
              • Midjourney (1.0)<\/strong> era is mature<\/li>\n\n\n\n
              • ComfyUI (2.0)<\/strong> has a high barrier to entry<\/li>\n\n\n\n
              • Agent (3.0)<\/strong> era is just beginning<\/li>\n<\/ul>\n\n\n\n

                Though Agent tech is immature, Chen Mian<\/strong> believes:<\/p>\n\n\n\n

                \n

                \u201cWhen Agent matures, it will no longer be an opportunity for application-layer entrepreneurs. Bet early, while the model is immature.\u201d<\/p>\n<\/blockquote>\n\n\n\n

                Lovart acted decisively, transforming future visions into reality through rapid iteration<\/strong> and precise execution<\/strong>.<\/p>\n\n\n\n

                \n\n\n\n

                From tools to teams: Production relationships redefined<\/h2>\n\n\n\n

                What Lovart brings is not just a tech revolution, but a transformation of \"people and tools\"<\/strong> relationships.<\/p>\n\n\n\n

                Chen Mian summarizes:<\/p>\n\n\n\n

                \n

                \u201cAI is moving from replacing individual tools to replacing professions, and ultimately may replace teams with collaborative capabilities. That\u2019s the most radical aspect.\u201d<\/p>\n<\/blockquote>\n\n\n\n

                The Agent era<\/strong> is restructuring production relations \u2014 opening top-tier creative power to everyone<\/strong>, removing price barriers.<\/p>\n\n\n\n

                \n\n\n\n

                The story behind Lovart's rise<\/h2>\n\n\n\n

                Lovart\u2019s rapid success is no accident.
                It is the result of:<\/p>\n\n\n\n

                  \n
                • Chen Mian\u2019s decade of internet experience<\/strong><\/li>\n\n\n\n
                • Deep business logic understanding<\/strong><\/li>\n\n\n\n
                • Clear grasp of user needs<\/strong> and tech trends<\/strong><\/li>\n<\/ul>\n\n\n\n

                  He experienced the Didi vs Uber subsidy war<\/strong>, the shared-bike capital race<\/strong>, and periods of resource starvation<\/strong>.<\/p>\n\n\n\n

                  But instead of giving up, he saw AI as redemption<\/strong>:<\/p>\n\n\n\n

                  \n

                  \u201cThe AI wave is a form of redemption for me. It gave meaning to all my fragmented experiences over the past decade.\u201d<\/p>\n<\/blockquote>\n\n\n\n

                  \n\n\n\n

                  Chen Mian\u2019s advice to AI entrepreneurs<\/h2>\n\n\n\n
                    \n
                  • Cognitive leadership<\/strong> is more important than technology.<\/li>\n\n\n\n
                  • Differentiation<\/strong> comes from value, not just market gaps.<\/li>\n\n\n\n
                  • Extreme execution<\/strong> and passion<\/strong> are key.<\/li>\n<\/ul>\n\n\n\n
                    \n

                    \u201cThe happiest thing is when the future you envisioned truly becomes reality in your hands.\u201d<\/p>\n<\/blockquote>\n\n\n\n

                    \n\n\n\n

                    The future is here \u2014 just not evenly distributed<\/h2>\n\n\n\n

                    Lovart and Xingliu AI have taken the first bold step.<\/p>\n\n\n\n

                    The future is already here<\/strong> \u2014 it just hasn\u2019t become mainstream yet<\/strong>.<\/p>\n\n\n\n

                    \u2014Are you ready to embrace your own \u201cAI team\u201d?<\/strong><\/p>\n\n\n\n

                    <\/p>\n","protected":false},"excerpt":{"rendered":"

                    Recently, if you have been following developments in the field of AI applications, it is almost impossible not to have heard of Lovart (known as \u201cXingliu AI\u201d in China). Its debut was nothing short of stunning Following its launch, the product quickly sparked a sensation in the global tech community: Within just 24 hours, over 20,000 eager users flooded in, all vying for a precious beta in …<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_glsr_average":0,"_glsr_ranking":0,"_glsr_reviews":0,"seo_description":"","seo_keywords":""},"categories":[1],"tags":[1418],"class_list":["post-2009","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-news","tag-ai-design-agent"],"_links":{"self":[{"href":"https:\/\/www.bestainav.com\/ko\/wp-json\/wp\/v2\/posts\/2009","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.bestainav.com\/ko\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bestainav.com\/ko\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bestainav.com\/ko\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bestainav.com\/ko\/wp-json\/wp\/v2\/comments?post=2009"}],"version-history":[{"count":0,"href":"https:\/\/www.bestainav.com\/ko\/wp-json\/wp\/v2\/posts\/2009\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.bestainav.com\/ko\/wp-json\/wp\/v2\/media?parent=2009"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bestainav.com\/ko\/wp-json\/wp\/v2\/categories?post=2009"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bestainav.com\/ko\/wp-json\/wp\/v2\/tags?post=2009"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}