An engineering notebook on AI, systems, and everyday experiments.

会用AI和用好AI之间差的是10倍。这个差距的根源在于工作方式，而非模型。本文通过一个完整的工作流例子和上中下三策的框架，解释为什么应该从ChatGPT切换到Cursor这类Agentic工具。

The gap between using AI and using AI well is 10x. That gap comes from how you work, not which model you use. This post walks through a complete workflow example and a Three Tiers framework to explain why you should switch from ChatGPT to agentic tools like Cursor.

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。

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 爆火的原因和去年 DeepSeek 一模一样——不是技术突破，而是把小众体验推向大众。本文不教配置，而是从产品设计角度拆解它的记忆系统、Skills 机制和聊天界面的根本局限，帮你判断该不该跟，以及怎么把核心思路用到自己的工作流里。

OpenClaw went viral for the same reason DeepSeek did — not a technical breakthrough, but bringing a niche power-user experience to the masses. This post skips setup tutorials and instead dissects its memory system, Skills mechanism, and the fundamental ceiling of chat-based AI interfaces, helping you decide whether to adopt it and how to extract its core ideas into your own workflow.

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。

Analyzes the four-step attrition ladder in AI learning and proposes using engineering platforms to eliminate configuration, experimentation, and deployment friction. Introduces AI Builder Space's unified API, one-click deployment, and MCP automation.

用Claude Code替代API调用做翻译任务：利用agentic loop实现自我纠错，用evaluation-first定义验收标准，从过程确定性转向结果确定性获得新的安全感。

Why handing translation to Claude Code works better than calling APIs directly - leveraging the agentic loop, evaluation-first mindset, and the ecosystem's runtime layer to achieve outcome certainty over process certainty.