AI self-media advanced system practical course | copywriting imitation ・ private knowledge base & agent building ・ plot short videos ・ N8N automated workflows ・ full-chain digital human production

Most self-media creators only stay at the shallow usage of simple AI copywriting and one-click image generation, and have many bottlenecks long-term: they only copy and imitate copy stiffly, cannot select high-quality large models suitable for self-media; use AI tools in a scattered way, have no private knowledge base to accumulate personal materials, and content is severely homogenized; plot short videos and digital human talking-head production are rough, and they do not understand the complete process of text-to-image, image-to-video, and AI lip-sync; they cannot use N8N and Agent to build automated processes, and content creation, editing, and distribution all rely on manual work throughout, which is time-consuming and laborious; they cannot manage and iterate prompts in an engineering way, large model output quality is unstable, and they cannot automatically interpret business cases or produce industry content in batches, and always fail to form a scalable self-media monetization system.

"AI Self-Media Course Advanced Edition" focuses on industrialized, automated, and privatized high-level AI gameplay, breaks away from beginner basic operations, and focuses on high-level capabilities such as self-media batch production, process hosting, and asset accumulation. No deep programming background is required; follow the practical operations to build an exclusive AI content production line, achieve unlimited content mass production, automatic platform distribution, greatly reduce labor costs, and amplify account monetization efficiency.

Course Content

Section 1: The correct way to use AI for copywriting imitation, selection of AI large models

Section 2: The correct way to use AI for copywriting imitation

Section 3: How to create a knowledge base and agents

Section 4: How to use the knowledge base to assist output of self-media talking-head videos

Section 5: AI plot short video production (text-to-image, image-to-video, lip-sync)

Section 6: N8N creates AI workflows

Section 7: How to efficiently compare the outputs of different large models

Section 8: Learn to use agents with zero technical foundation: complete a task with claudecode

Section 9: Use lobehub to make agents

Section 10: Use heygen to make digital humans

Section 11: One-click full hosting, AI automatically posts to Xiaohongshu

Section 12: Use AI to achieve unlimited output and quickly interpret any business case workflow

Section 13: Use claude's skill to achieve engineering management and iteration of system prompts

Lesson 14: Claude Code Data Authoritative Index ISOURCEOF TRUTH(1).pdf

Suitable For

Self-media bloggers who have mastered basic AI usage and want to advance to building automated content systems

Multi-account operators and matrix creators who want to rely on AI to reduce manual labor and produce content in batches

Operators of business commentary, story accounts, and digital human spoken-word accounts who want to improve the quality of AI-generated videos

Creators who want to build private knowledge bases, accumulate personal AI assets, and improve content recognizability

Students with zero foundation who want to get started with advanced N8N, Agent, and Claude and build AI work pipelines

Learning Outcomes

Master large-model screening + professional copy imitation methods to stably produce original, compliant self-media manuscripts

Independently build private knowledge bases and custom agents to shape a dedicated account AI content output style

Skillfully produce AI story short videos, master the full set of technologies for text-to-image, motion effect generation, and AI lip-sync, and be proficient in HeyGen digital human production

With zero foundation, master N8N workflows, LobeHub agents, and Claude Code Agent task execution, and build automated production pipelines

Learn prompt engineering management and iteration, combined with authoritative data indexes, to greatly improve the stability and professionalism of AI output

Realize automatic AI publishing on Xiaohongshu, build a one-click business case analysis workflow, and achieve unlimited content mass production

This advanced AI self-media course is different from entry-level AI teaching on the market. It focuses on the industrial operation needs of self-media and connects knowledge bases, agents, video generation, automated processes, prompt engineering, and platform distribution into a closed-loop system. The whole process is low-threshold and mainly zero-code, while also covering professional-level optimization solutions. After learning, students will no longer use AI tools in a fragmented way, but will own a fully automatic AI content production system of their own, continuously, stably, and cost-effectively supplying short videos and graphic content, empowering long-term operation and revenue growth of self-media accounts.