AI-Native Content Agent Setup Tutorial - 2026 AI Automated Workflow Guide



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🕒Last updated: 09/19/2026
👥Entrepreneurs / Self-media creators / Cross-border e-commerce sellers / Side-hustlers

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AI Navigator Late July Offline Masterclass - No Watermark, build a content Agent under AI Native, create Agent employees, and achieve automation

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📅 Release Date:
\ September 19, 2026
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📚 Course Type:
\ AI Native in Practice
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👥 Target Audience:
\ AI users, content creators, entrepreneurs, operations staff
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Many people already know how to use AI, but they still have to push projects forward on their own, and every time they ask AI to work, it feels like starting over. This course guides you in building a functioning AI project office, where AI reads materials, breaks down tasks, generates outputs, accumulates versions, and runs through a minimal closed loop. The course centers on AI Native business thinking, helping learners shift from traditional work models to AI-native thinking. Many people stuff AI tools into old processes and end up more exhausted the more they use them. This course teaches you not to AI-ify old processes, but to let AI redesign processes from scratch, creating a work environment truly suited for AI to thrive.

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Baozi will guide you on-site to master how to build an AI work comfort zone, enabling AI to understand, invoke, work, output, trace, and review. At the same time, you will re-understand the division of labor between humans and AI, clarify what AI and humans are each responsible for, and how AI should collaborate and divide work among themselves.

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Sanjin will guide you in organizing past content and business experience into a content knowledge base that AI can invoke; then distill your daily writing and AI collaboration experience into reusable Skills. Ultimately, you will run through a minimal content Agent: from organizing materials in Obsidian or a local knowledge base, to Codex invoking the knowledge base and Skills, then triggering the process through Feishu CLI or Hermes, letting AI complete finding needs, writing drafts, quality checking, and returning results, with humans only responsible for the final judgment.

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The course covers a complete system including knowledge base construction, Skill accumulation, content Agent building, and continuous workflow triggering, helping you upgrade from using AI tools to truly achieving AI-automated office work, greatly improving work efficiency, and completing a team's workload alone.

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AI Native Thinking
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  • 1.Why hasn't the business changed even after using AI
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  • 2.Building an AI work comfort zone
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  • 3.Re-understanding the division of labor between humans and AI
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  • 4.Don't AI-ify old processes; let AI redesign the process
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  • 5.Using AI to create new categories
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  • 6.Hands-on: let AI reshape your project from scratch
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Knowledge Base Construction
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  • 7.Knowledge base: use AI to build business materials into invokable assets
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  • 8.Customer conversations, consultation records, past content classification, extraction, directory building, judgment supplementation
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  • 9.Hands-on: use Obsidian local knowledge base to organize business materials
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  • 10.Enable Codex to read, find, and invoke
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Skill Accumulation
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  • 11.Skill: distill content experience into reusable actions
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  • 12.What content is worth writing, how to embed keywords, how to judge whether it can be published
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  • 13.Hands-on: break down search notes, viral notes, content quality-check Skill
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Content Agent Building
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  • 14.Content Agent: let the knowledge base and Skills start working together
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  • 15.Agent infrastructure: Feishu CLI + Hermes + Codex collaboration
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  • 16.Hands-on: use Feishu CLI to connect Codex, knowledge base, and Skills
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[Automated Workflows]
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  • 17.Continuous triggering: turn a one-time output into a stable workflow
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💡 Learning Tip:Content reflects industry practices at time of publication. Please refer to the latest platform rules when learning.

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