English series
AI Tutorial
English editions of Guozhen AI articles. The text is localized for global readers while the original diagrams, screenshots, and code examples remain aligned with the Chinese source.
Use this series as the technical reading layer, then continue into AI software buyer guides, tool comparisons, benchmarks, API platform decisions, coding agents, and LLM security research.
From Series Reading to Tool Decisions
Turn this AI series into practical software, model, API, and security choices.
English Series FAQ
Use this series as evidence before choosing AI tools.
How should I use the AI Tutorial English series?
Use the series as the learning layer for concepts, screenshots, prompts, and implementation details, then continue into buyer guides, tool comparisons, benchmarks, API decisions, and security checks.
Is the AI Tutorial series enough to choose an AI tool?
No. The series gives context and practical examples, but production choices still need pricing review, privacy checks, integration testing, benchmark evidence, and fallback planning.
What should I read after this 10-lesson series?
Open AI Software Buyer Guides, AI Tools Workbench, Best AI Coding Agents, AI Model Benchmarks, OpenAI vs Anthropic API, or LLM Security Tools depending on your next decision.
Why keep the original diagrams and screenshots?
The visuals preserve source evidence from the Chinese articles, so global readers can inspect interfaces, outputs, and workflows instead of relying only on a translated summary.
10 GitHub Actions, Code Review, and Team Integration: Embedding Codex into Your Engineering Workflow
When individuals use Codex, the focus is on accelerating their own development speed. When teams adopt Codex, the priority shifts: consistency of rules, controllable...
Read lesson9 Automations and Hooks: Turning Stable Workflows into Auto-Reminders and Auto-Checks
Once you’ve grown comfortable using Codex, you’ll notice certain tasks recur regularly: checking error logs, reviewing recent code changes, reminding yourself to run...
Read lesson8 Skills, Plugins, and MCP: Integrating Repetitive Workflows and External Tools into Codex
By now, you’ve learned how to get Codex to complete a single task. The next challenge is: how do you make it increasingly efficient and reliable with repeated use?
Read lesson7 Browser and Computer Use: Enable Codex to See Real Pages for Frontend Debugging
Many frontend issues cannot be diagnosed by code alone. Whether a button overflows its container, whether text is legible in dark mode, whether horizontal scrolling...
Read lesson6. Approval, Sandboxing, and Security Boundaries: Empowering Codex to Work Safely
Codex can read files, modify files, and execute commands. The more powerful it is, the more critical it becomes to understand its security boundaries.
Read lessonAGENTS.md
If you could learn just one file to sustainably improve Codex’s performance, start with AGENTS.md.
Read lesson4. Prompt, Plan, and Goal: Let Codex Think Before Coding
The official best practices offer an excellent framework: a well-defined task should ideally consist of four parts—Goal, Context, Constraints, and Done When. In Chin...
Read lessonGetting Started with Codex Zero: Reading the Codebase, Making Minor Changes, and Running Checks
When introducing Codex to your project for the first time, the most important thing is not to rush .
Read lessonCodex Zero Setup, Login, and Environment Diagnostics: Get It Running Locally
The first step in learning Codex isn’t writing prompts—it’s stabilizing your local environment. Many “AI can’t modify code” issues ultimately trace back to misconfig...
Read lessonCodex Zero to One: What It Is and Which Tasks It’s Best Suited For
This tutorial walks you through Codex from absolute zero. Let’s start with one clear statement: Codex is not just code completion, nor is it merely a chat window tha...
Read lesson