Summary: In AI comic video production, the real challenge has never been "generating a single shot"—it's whether the visuals still hold together after character outfit changes, shot transitions, and dozens of rounds of asset iterations. Recently, I built Starforge Kernel. It structures the entire creation process of an episode—from script breakdown, asset management, keyframe and video generation, to final assembly, QA, subtitling, and distribution—into a fully traceable, calibratable, and repeatable pipeline. It doesn't aim to solve "whether AI can generate," but rather "how AI can reliably produce an episode that can be reviewed, published, and consistently replicated." In this video, Lin Jianxing will take you through how a character moves step-by-step from a library asset into the final cut and distribution queue. If you're also working on AI comic videos or AI video production, feel free to follow and reach out via DM to connect.
Holds a dual background in Software Engineering from Shanghai Jiao Tong University and a Finance MBA from the China Europe International Business School (CEIBS), with 20 years of experience in digitalization, AI commercialization, and comprehensive group management. Deeply versed in the dual-track path of "cutting-edge technology + commercial monetization," having served as General Manager/CEO across multiple tier-1 state-owned enterprises, listed companies, and startups. Expert in the application-layer engineering deployment of Large Language Model (LLM) API fine-tuning, Retrieval-Augmented Generation (RAG), and AI Agent architectures. Spearheaded the creation of China's first "AI Smart Matching + Super Individual (OPC)" platform as well as a national benchmark "AI + Education" project. Possesses exceptional capabilities in building AI industry ecosystems, integrating government and corporate resources, and facilitating cross-border deal-making, dedicated to transforming Generative AI into a second growth curve for enterprises.