<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Content Workflow on C.CUI's Log</title><link>https://cuicaihao.github.io/tags/content-workflow/</link><description>Recent content in Content Workflow on C.CUI's Log</description><generator>Hugo</generator><language>en-AU</language><lastBuildDate>Sat, 22 Aug 2026 07:00:00 +1000</lastBuildDate><atom:link href="https://cuicaihao.github.io/tags/content-workflow/index.xml" rel="self" type="application/rss+xml"/><item><title>Why an AI Animated Series Can Reach Eleven Seasons: From Generative Models to Production Systems</title><link>https://cuicaihao.github.io/posts/2026-08-22-why-an-ai-animated-series-can-reach-eleven-seasons/</link><pubDate>Sat, 22 Aug 2026 07:00:00 +1000</pubDate><guid>https://cuicaihao.github.io/posts/2026-08-22-why-an-ai-animated-series-can-reach-eleven-seasons/</guid><description>Generating a single shot tests model capabilities, but continuously updating a series for eleven seasons around the same characters and worldview requires a complete production system. Using the Chinese AI anime and short-drama industry as context, this article analyzes how task breakdown, production assets, model orchestration, agentic collaboration, human decision-making, and recommendation feedback sustain continuous delivery. As generation costs decline, competitive advantages will likely shift from models to systems.</description></item></channel></rss>