用两分钟指挥AI给300篇文章添加SEO summary的实战案例，拆解五个关键决策：选对执行环境、先建测试再干活、让agent自己处理corner case、divide and conquer、结果导向的prompt写法。
Key Decisions for Agentic Workflows: A Simple Case Study
A real-world case study of directing AI to add SEO summaries to 300 articles in two minutes, breaking down five key decisions: choosing the right execution environment, building tests before work, letting agents handle corner cases, divide and conquer, and outcome-oriented prompt writing.
OpenClaw深度分析：为什么突然就火了，以及对我们意味着什么
OpenClaw把本地Agent能力带到聊天软件而爆火，但聊天界面、统一记忆、开放Skills都带来妥协。用OpenCode加文件记忆可以搭一套更好的系统。
OpenClaw Deep Dive: Why It Went Viral and What It Means for You
Analyzing why OpenClaw democratized Agentic AI through chat interfaces, its trade-offs in memory and security, and how to build a better system using OpenCode with file-based memory.
告别教程思维：为什么 AI 教育不应局限于内容创作，而应该引进工程基建
分析AI学习者的四道流失阶梯，提出用工程化平台消除配置、实验、部署等摩擦，让学员专注于核心技能练习。介绍AI Builder Space如何通过统一API、一键部署和MCP自动化实现这一目标。