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Someone used AI to create life advice posts that went viral on Xiaohongshu (WeChat Official Account) with over 20,000 likes and more than 1,100 comments after publishing four notes.

Outlier case: The author published four notes. Posts offering life advice generated by AI received over 20,000 likes and more than 1,100 comments. The images were created using AI. Similar vertical layouts presenting life advice or principles often go viral. You can create these with AI, then publish them on Xiaohongshu (WeChat Official Account) as a repost account, or on Douyin (TikTok) as text-and-image posts. Later, you could monetize by selling related skills or teaching others. Interested peers can start doing this.

Summary

Review the results before exploring further

Outlier case: The author published four notes. Posts offering life advice generated by AI received over 20,000 likes and more than 1,100 comments. The images were created using AI. Similar vertical layouts presenting life advice or principles often go viral. You can create these with AI, then publish them on Xiaohongshu (WeChat Official Account) as a repost account, or on Douyin (TikTok) as text-and-image posts. Later, you could monetize by selling related skills or teaching others. Interested peers can start doing this.

Our Take

Three things to consider about this case

Why it matters
Use one product or piece of content to validate demand first, then record transactions, costs, and after-sales service.
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
Individuals who need to process images and assets
What to try first
Run the processing workflow using one piece of real material and compare the effects before and after processing.
What to measure
Check clarity, text accuracy, and whether results can be directly used for actual tasks.
Try Image Text Extraction ↗

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?
Still deciding? Read our decision guides
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