Summary: This isn't an article about how "powerful AI is," but a retrospective on "how to integrate AI into the production workflow." Moving step by step from stacked geometries, uncanny human figures, and imprecise detail control to asset library matching, GLB export, and browser validation, the true value lies in the reusable methodology developed along the way.
Original article published externally
https://mp.weixin.qq.com/s/60O27ANiNufdAFECD15UiQ
正文草稿准备中...
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.