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Someone recently turned "Zizhi Tongjian" (Comprehensive Mirror in Aid of Governance) into an AI decision-making knowledge base where users input dilemmas to receive historical strategies, priced at 68.9 yuan.

× Traditional Culture Knowledge Base (Decision-Making Thinking Models from Zizhi Tongjian) – Breaking down the 3-million-word historical classic into an interactive AI knowledge base, categorized by modern workplace and life decision scenarios. Users input their confusion, and AI matches corresponding strategies and thinking models from historical cases.

Sharer: Aniu2026.10.07
Summary

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× Traditional Culture Knowledge Base (Decision-Making Mental Models from Zizhi Tongjian) — Deconstructs a 3-million-word historical classic into an interactive AI knowledge base, categorized by modern workplace and life decision scenarios. Users input their confusions, and the AI matches corresponding strategies and mental models from historical cases. Case Description: This is a virtual product built on an AI knowledge base tool, with core content being a structured interpretation of Zizhi Tongjian. As seen in the product image, the complete content framework includes four major sections: Module 1 features 100 mental model readings (categorized by theme, such as cognitive foundations...)

Our Take

Three things to consider about this case

Why it matters
First, run a small, verifiable task, recording the outcome, manual modifications, and maintenance effort.
Who it suits
Suitable for reference by those who already have similar needs and can verify effectiveness through small tasks.
What to check first
The achievements mentioned in the summary belong to the author's self-report; distinguish between revenue and profit, and consider costs, man-hours, and reproduction conditions.
Our Suggestions / Try This
Who it suits
Content operators and e-commerce practitioners
What to try first
Select one product or set of materials for a small-scale test, recording publication and feedback.
What to measure
Compare genuine inquiries, clicks, and transaction feedback, recording costs and revenue separately.
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What should you ask before trying this?

  • What specific need does this practice solve for you?
  • How should the minimum viable test be accepted, and how much time needs to be invested?
  • Which steps still require human processing and continuous maintenance?
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