This course is a systematic, hands-on Codex agent course that takes you from zero to mastering an AI-native way of working, automating repetitive tasks, and truly achieving the super productivity of a one-person company. The course covers Codex basic configuration, Skill packaging, API calls, as well as core scenarios such as AI video automation, e-commerce visual generation, content entrepreneurship, office efficiency improvement, mini-program development, and knowledge base building.

You will learn how to install and configure Codex, get familiar with the interface and feature modules, and create your first AI skill package. The course deeply breaks down the underlying logic of automated video editing, including title and subtitle generation for historical-figure videos, batch production of AI storyboard images, calling the Jimeng API to generate video assets, and developing an automatic editing assistant for CapCut. In e-commerce visuals, you will master methods for recreating viral e-commerce images, batch-generating detail pages, building an e-commerce prompt system, and automatically generating product white-background images and three-view images.

In addition, the course covers AI content entrepreneurship and IP building, including storyboard video production, character card creation, the underlying logic of digital human agents, AI copywriting acquisition and voice synthesis, and automatic subtitle video generation. In terms of office efficiency, you will learn to use Codex for data organization and analysis, automatically create PPTs, and integrate Feishu CLI to achieve automated office work. The course also includes the full mini-program development process, from sorting out the underlying logic to cloud service creation, API integration, and test deployment. Finally, you will learn how to build a personal knowledge base with Obsidian and combine it with Codex to achieve automated operation of WeChat official accounts.

Through a large number of practical cases and skill package packaging demonstrations, the entire course enables even zero-foundation users to gradually build their own AI business system and truly turn AI into your digital employee team.

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• 1.Codex installation and model configuration tutorial
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• 2.First look at the Codex UI and feature templates
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• 3.Complete Codex's first skill package
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• 4.Automated video editing principles explained
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• 5.Historical-figure title/subtitle production tutorial
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• 6.Batch-making storyboard images via Jimeng API
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• 7.Making video assets via the Jimeng API
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• 8.CapCut assistant automatic editing + skill packaging
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• 9.Codex e-commerce image recreation fundamentals
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• 10.Codex API calls to recreate detail images
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• 11.Codex e-commerce image recreation prompt input
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• 12.Packaging the Codex detail-image recreation skill
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• 13.Codex women's-wear video recreation logic
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• 14.Codex reverse-engineers video prompts + frame extraction
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• 15.Call image2 to create white-background three-view images
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• 16.Call Jimeng 2.0 API to create videos + skill package packaging
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• 17.Codex for data organizing and analysis
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• 18.Detailed PPT creation workflow
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• 19.Hands-on: Use Pinterest benchmark templates to create the same style
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• 20.Install a Skill to build editable PPTs
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• 21.How Codex connects to the Feishu CLI
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• 22.Storyboard video production pipeline detailed
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• 23.Making character cards
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• 24.Storyboard to finished short video
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• 25.Digital-human agent feature fundamentals explained
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• 26.Getting video copy and TTS
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• 27.Subtitle-video compositing and packaging local software
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• 28.Codex VFX video editing fundamentals
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• 29.Finishing animated VFX videos in Hyperframes
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• 30.Mini-program development underlying logic
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• 31.Finding benchmarks and cloud-service creation flow
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• 32.Mini-program build practical session
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• 33.API integration, mini-program testing, deployment
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• 34.Obsidian knowledge-base basics
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• 35.Building an Obsidian knowledge base hands-on
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• 36.Calling a skill to get daily hot topics
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• 37.Building a WeChat Official Account with Codex + Obsidian
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💡 Learning Tip:Content reflects industry practices at time of publication. Please refer to the latest platform rules when learning.