Turn an AI conversation into a reusable skill
Summary: Don't just get a one-off result from AI—make it distill a reusable methodology for next time. This tutorial teaches just one thing: how to turn a real AI collaboration into a reusable, scorable, and publish-ready WeChat article production skill.
Original article published externally
https://mp.weixin.qq.com/s/w0-CDt0DhNUBNE2_wnGSsg
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Siounex Zhao
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.