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FDE - A complete beginner in film production used AI to build a workflow in 10 days, creating a high-value commercial video for ¥17 that rivals professionally shot content worth ¥20,000 to ¥30,000.

Hello everyone, I'm Chen Chen, based in Shenzhen. I work as an internal FDE for a North American brand targeting high-value overseas markets, helping the team establish video content as its second growth curve. This article covers one specific topic: creating page videos for high-ticket products.

Summary

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Hello everyone, I'm Chen Chen, based in Shenzhen. I work as an internal FDE for a North American brand targeting high-value overseas markets, helping the team establish video content as its second growth curve. This article covers one specific topic: creating page videos for high-ticket products. Hiring overseas crews for real footage is prohibitively expensive; hiring graphic designers to use AI-generated images often looks obviously fake. I explain how I combined AI, code, and 3D modeling to produce a commercial-quality video that our company actually dares to feature. First, three key figures: 1. For the same product video, hiring an overseas crew plus 3D takes two or three times as much...

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.
Try Image Compression ↗

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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