ShiZhen AI
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ShiZhen AI

Tech blogger with over 10 years of experience at leading tech firms, AI efficiency and delivery expert focusing on AI productivity. Covers tech gadgets, AI-driven efficiency, and leisure— AI leisure community. 🛰 szzdzhp001

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Latest from ShiZhen AI

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ShiZhen AI
ShiZhen AI
Mar 12, 2026 · Operations

The Lifesaving Backup Trick 99% of OpenClaw Users Miss

This guide shows how to protect your OpenClaw configuration by treating the ~/.openclaw directory as a snapshot, using a private GitHub repository for secure, versioned backups that let you roll back, recover from loss, or migrate to a new machine in minutes.

BackupGitGitHub
0 likes · 14 min read
The Lifesaving Backup Trick 99% of OpenClaw Users Miss
ShiZhen AI
ShiZhen AI
Mar 11, 2026 · Artificial Intelligence

Build Persistent AI Agents with OpenClaw: A 40‑Day Hands‑On Guide

This article details a 40‑day workflow for creating and evolving eight continuous‑running OpenClaw AI agents using a three‑layer markdown file system—Identity, Operations, and Knowledge—showing how to give agents long‑term memory, self‑healing checks, and coordinated collaboration without databases or message queues.

AI AgentsAgent CoordinationLong-Term Memory
0 likes · 17 min read
Build Persistent AI Agents with OpenClaw: A 40‑Day Hands‑On Guide
ShiZhen AI
ShiZhen AI
Mar 9, 2026 · Operations

Beginner’s Complete OpenClaw Installation Guide: Get Started in 10 Minutes

This step‑by‑step tutorial shows beginners how to verify Node.js, install OpenClaw on macOS, Linux or Windows with a single command, run the initialization wizard, configure AI models and hooks, and start chatting via a web dashboard or terminal UI, all within ten minutes.

AI assistantCLINode.js
0 likes · 12 min read
Beginner’s Complete OpenClaw Installation Guide: Get Started in 10 Minutes
ShiZhen AI
ShiZhen AI
Mar 6, 2026 · Artificial Intelligence

GPT-5.4 Beats Human Baseline and Cuts Agent Token Use by Half

OpenAI's newly released GPT-5.4 integrates reasoning, coding, computer use, and agent tool calls, achieving a 75% success rate on OSWorld-Verified tasks—surpassing the human baseline—while its Tool Search feature reduces agent token consumption by 47% and supports up to 1 million tokens for long‑running workflows.

AI modelAgentGPT-5.4
0 likes · 15 min read
GPT-5.4 Beats Human Baseline and Cuts Agent Token Use by Half
ShiZhen AI
ShiZhen AI
Mar 5, 2026 · User Experience Design

Why the BenQ RD280UG 3:2 4K Monitor Feels Made for Programmers

After a decade of using various monitors, the author finds the BenQ RD280UG’s 3:2 aspect ratio, 120 Hz refresh, dedicated programming modes, anti‑reflective panel, MoonHalo lighting, Owl low‑brightness mode, KVM switching, and fine‑tuned Display Pilot 2 software together solve real coding‑day pain points and justify its premium price.

3:2 aspect ratioBenQDisplay Pilot
0 likes · 8 min read
Why the BenQ RD280UG 3:2 4K Monitor Feels Made for Programmers
ShiZhen AI
ShiZhen AI
Mar 4, 2026 · Artificial Intelligence

Claude Skill-Creator Gets Major Update: Add Unit Tests to Your Agent Skills

Anthropic's new testing framework for Claude's skill‑creator lets non‑engineers write evals, run benchmarks, and perform A/B comparisons without coding, enabling clear verification of Agent Skill effectiveness, regression detection, and future‑proofing.

AI testingAgent SkillClaude
0 likes · 9 min read
Claude Skill-Creator Gets Major Update: Add Unit Tests to Your Agent Skills
ShiZhen AI
ShiZhen AI
Mar 3, 2026 · Artificial Intelligence

How OpenAkita Makes Three AIs Collaborate Automatically

OpenAkita is an open‑source multi‑Agent AI assistant that automatically splits tasks among specialized agents, offers 89 built‑in tools across 16 categories, supports 30+ large models and six IM platforms, provides a zero‑CLI graphical setup, and includes a three‑layer memory system with self‑evolving capabilities.

AI assistantOpen SourceOpenAkita
0 likes · 9 min read
How OpenAkita Makes Three AIs Collaborate Automatically
ShiZhen AI
ShiZhen AI
Mar 2, 2026 · Artificial Intelligence

What We Learned After a Year of Building Claude Code: Thinking Like an Agent

The article shares Claude Code core developer Thariq's design philosophy for AI agent tools, explaining how tool selection must match model capabilities, the iterative failures that shaped the AskUserQuestion tool, and why progressive disclosure and continual tool evolution are essential as models improve.

AI AgentsAskUserQuestionClaude Code
0 likes · 10 min read
What We Learned After a Year of Building Claude Code: Thinking Like an Agent