AI Digital Employee: 100 Agent Practice Course, Batch Content, Automated Office



📚Video Course
🕒Last updated: 03/24/2026
👥Entrepreneurs / Self-media creators / Cross-border e-commerce sellers / Side-hustlers

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Posted:March 24, 2026

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🏷️ Course Type:AI Intelligent Applications | Content Creation | Automated Office | Side Hustle

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² Duration of️ study:16 lessons, total duration about 4 hours

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GroupContent creators | Operations staff | Short-video bloggers | Office workers | Side-hustle players

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Are you still troubled by low content production efficiency and too much repetitive work?This course teaches you to create 100 exclusive AI digital employees, achieving full-process automation from text extraction to batch generation, from copywriting to image output.

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Course CoverageText knowledge base construction、Variable and selector application、Loop batch processing、Q&A module: one-click generation of multi-platform copy、AI image generation and background removaland other core technologies, enabling your AI to not only write, but also draw, edit, and publish.

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Core values:MasterFull process of building AI matrix agents, buildPersonal automated content factoryAchieve10x improvement in content production efficiency, truly making AI your super digital employee.

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Whether you do short videos, self-media, knowledge monetization, or daily office work, you can get started right after learning, achievingcontent mass production at zero labor cost。

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📌 Course Content Grouping Explained in Detail

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📘 Phase 1: AI digital employee basic setup

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  • Agent creation and prompt technique optimization
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  • Understand workflow concepts and core module functions
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🗂️ Phase 2: Text knowledge base construction and data source integration

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  • Build structured knowledge bases through data annotation methods
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  • Online data extraction and cleaning techniques
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  • Automatic extraction of Feishu cloud documents and WeChat official account articles
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⚙️ Phase 3: Workflow core module practice

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  • Variable type identification and practical application
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  • Selector usage and data filtering techniques
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  • Variable aggregation for multi-source information integration
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  • Q&A module: one-click generation of copy in different platform styles
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🎬 Phase 4: AI batch production and visual content output

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  • Text-to-image practice: intelligent generation of Nezha emoji packs
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  • Loop module for batch generation of emoji pack series
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  • Batch processing module: parallel generation of multiple content
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  • Health recipe project practice: high-quality image generation, background removal, and canvas rendering
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💡 Learning Tips:
The content of the tutorial is based on the industry practice at the time of release, and it is recommended to combine the latest rules of the current platform
Flexibly apply what you learn for optimal learning.

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