一次搞懂 Codex 5 层核心工作流：入口、环境、上下文、权限、交付

📝 Video Overview This video is not just about how to use one specific Codex feature. Instead, I use Codex as a concrete example to break down the core workflow behind the new generation of AI Agent tools. I will explain Codex through five questions: where do you send the task from, where does it actually run, what context does it rely on, what permission boundaries does it have, and what does it finally deliver? To make this practical, I use an AI industry daily news single-page MVP as a running example, showing how Codex moves from entry point to final delivery. By the end, you will not only understand the relationship between Codex App, CLI, Cloud, local environments, context, permissions, and deliverables, but also be able to apply the same framework to other Agent tools like Claude Code, Cursor, OpenClaw, and Hermes Agent. ⏳ Chapters 00:00 Breaking through: Agent tools are exploding — how do we escape tool anxiety? 01:24 Framework: the five-layer workflow and the demo setup 03:49 Hands-on: how Codex goes from entry point to final delivery 14:04 Bigger picture: beyond Codex, a reusable Agent analysis framework 💬 Discussion If you have tried bringing Agents into your own workflow, or if you have any questions about Codex, feel free to share them in the comments. If this video is helpful, don’t forget to like, subscribe, and share to support the channel. 👉 Subscribe here:    / @mingnify   🔔 Turn on notifications so you don’t miss the next deep-dive tutorial. 🏷️ Core Tags #Codex #OpenAICodex #AIAgent #AgentWorkflow #CodexCLI #ClaudeCode #OpenClaw #HermesAgent #Antigravity #Cursor #MCP #Skills