<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Productivity on Chengyu Wang</title><link>https://chengyu.eu/tags/productivity/</link><description>Recent content in Productivity on Chengyu Wang</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 Chengyu</copyright><lastBuildDate>Wed, 11 Feb 2026 09:00:07 +0000</lastBuildDate><atom:link href="https://chengyu.eu/tags/productivity/index.xml" rel="self" type="application/rss+xml"/><item><title>Three Models, All Working for Me Now</title><link>https://chengyu.eu/posts/three-models-working-for-me/</link><pubDate>Wed, 11 Feb 2026 09:00:07 +0000</pubDate><guid>https://chengyu.eu/posts/three-models-working-for-me/</guid><description>Codex writes the code fast, Claude Code audits it, Gemini plugs into OpenClaw as a tool, NotebookLM organizes notes, and Nanobanana handles visuals — a small AI production line.</description></item><item><title>My AI Content Workflow: From Logic Outline to a High-Quality Deck</title><link>https://chengyu.eu/posts/ai-content-workflow-outline-to-slides/</link><pubDate>Wed, 04 Feb 2026 23:00:38 +0000</pubDate><guid>https://chengyu.eu/posts/ai-content-workflow-outline-to-slides/</guid><description>A three-step pipeline — outline with Gemini, flesh out a transcript, then let NotebookLM turn both into a presentation — that cut a week of course prep down to a day or two.</description></item></channel></rss>