Computing Life - Computing

用好AI的第一步：停止使用ChatGPT

grapeot — Tue, 03 Mar 2026 12:00:00 -0800

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。

Step One to Using AI Well: Stop Using ChatGPT

grapeot — Tue, 03 Mar 2026 12:00:00 -0800

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.

以一个简单任务为例看AI落地的关键决策

grapeot — Fri, 20 Feb 2026 18:00:00 -0800

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

grapeot — Fri, 20 Feb 2026 18:00:00 -0800

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

grapeot — Sat, 14 Feb 2026 23:00:00 -0800

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

grapeot — Sat, 14 Feb 2026 22:00:00 -0800

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

grapeot — Mon, 02 Feb 2026 20:00:00 -0800

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。

Why AI Education Should Go Beyond Content Creation to Engineering Infrastructure

grapeot — Mon, 02 Feb 2026 19:00:00 -0800

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.

从过程确定性到结果确定性：AI 时代的另一种安全感

grapeot — Sun, 25 Jan 2026 17:00:00 -0800

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。

From Process Certainty to Outcome Certainty: A Different Kind of Confidence in the Age of AI

grapeot — Sun, 25 Jan 2026 16:00:00 -0800

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.