Why aren't the AI videos you make catching fire? Are you making videos with these problems

During this period of time, a number of students have asked me this question: after learning AI drawing and video production techniques in recent months, I think I have learned almost everything. But why other people with AI produced video can burst, and my own production of video but the response is flat?

In this post today, I'm going to expand on that for you.

Let's start with one.Hot VideosFormula:

Breakout Formula = Technical Depth x Creative Difference x Operational Adaptation

Next, I'm going to give you an explanation of each of the 3 areas mentioned in this pop-up formula.

one,AI ToolsInsufficient depth of application

A lot of people, the use of AI tools only scratches the surface.

1. cue word and AI comprehension bias

The quality of AI-generated content is highly dependent on the accuracy of the prompt words entered. Generate the same image, why others can generate a beautiful and good-looking image, but you generate the average? It is the problem of cue word accuracy.

2. Technology tool chain not integrated

Pop-up videos often combine multiple AI tools (e.g., using AI drawing tools to generate frames + AI voiceover tools to generate narration + video post-editing software), while some users rely on a single tool.

(Both of these 2 questions have been mentioned by students and answered by me, while in my tutorials there are multiple application guides for both the AI drawing tools and the AI video tools, and the production of the AI video uses multiple tools.)

II. Insufficient creativity

It's important to realize that AI tools are just a tool for us to make videos, it's our own creativity that counts.

Often students in AI exchange groups send me a pop-up video after seeing it, and the most common question they ask is, "Which AI tool was used in this video?"

Indeed, I do understand the idea that you only need one tool to create a pop-up video with one click.

But the most important part of a video that will blow up is often in the creativity, in the brainstorming of ideas. As long as you are creative and imaginative, what AI software you use is secondary.

In my previous public articles, I have also talked about the importance of creativity many times. For example, the following article: 20 days to be able to increase the powder 1.17 millionShort VideoIt's not the AI tools that matter, it's the creativity!

How do ideas come about? Look more and think more!

It's like the AI video generation tool has a "first and last frame" function.

This is a feature that many of you may be doing with the "Monster Transformation" video that I talked about in my previous post.

In fact, this feature is very practical.

This can also be the case, for example:

Why aren't the AI videos you make catching fire? Are you making videos with these problems

III. Operational adaptation

A large portion of user-produced videos are not well adapted to the platform's algorithms. The recommendation logic of different platforms differs significantly. For example, Jittery focuses on the "golden 3 seconds" to catch the eyeballs, while B station focuses on long-tail dissemination.

Of course, this is something that needs to be tested with accounts for different types of content.

And some users may have just one account, so they have no choice but to post all the videos they want to make, resulting in a mishmash of videos in that account, like a hodgepodge.

This is also asked by students in the AI exchange group and answered by many enthusiastic students, for which it is easy to understand.

So, my advice is that if you really want to make a mark on the short video platform, go ahead and open a few more accounts to test it out. Realize that a lot of successful accounts may have sacrificed a lot of accounts before it to be successful.

IV. Conclusion

The pop-up formula = technical depth x creative difference x operational fit with the following 2 suggestions:

1, short-term breakthrough: choose vertical segments, through the tool chain integration and label optimization rapid testing;

2, long-term accumulation: accumulation of exclusive material library + create personal IP style.

statement:The content of the source of public various media platforms, if the inclusion of the content violates your rights and interests, please contact the mailbox, this site will be the first time to deal with.
Encyclopedia

Meta late-night open source Llama 4 series of models, 2 trillion parameters large model Llama 4 how to use for free?

2025-4-9 11:30:36

TutorialEncyclopedia

Flux tutorials, Flux Quick Generate Image Painting Workflow Share

2025-4-9 11:58:21

Search