topics: [“ai”, “education”, “design”, “prompt”, “runway”]
AI-generated video is not suitable as the main medium for educational or technical materials.
This is not an impression or a gut feeling.
It is a design decision made after actually using the tools,
designing prompts, generating outputs, storing results,
and evaluating them from an educational standpoint.
Generative AI is already practical in areas such as:
in education and technical fields.
So the natural next question was:
Can AI-generated video be used for teaching?
If video could be effective for lecture introductions,
technical presentations, or research explanations,
it would be worth adopting.
To answer this, I created a dedicated verification repository
and tested it in practice.
The verification followed these principles:
The key question was not
“Can it generate something?”
but
“Does it remain as a design asset?”
In educational and technical materials, the top priority is:
Do not mislead.
AI video excels at:
But it is not a medium for accurately conveying:
The conclusion was clear:
AI video can never be more than a “preface,”
not an explanation.
The safety condition is simple:
do not put information into the video.
When in doubt,
do not use it.
Discussions around generative AI tend to focus on:
But in real design work:
The reasons for deciding not to use something
are often the most valuable assets.
This verification clarified:
This article is based on actual repositories and generated videos.
This repository includes:
prompts/)workflows/)notes/)samples/)Reference video (MP4, 5s, Image → Video)
👉 https://github.com/samizo-aitl/ai-video-lab/blob/main/samples/output/abstract_lab_01.mp4
What matters in the age of generative AI is not:
what we can use
but rather:
where we draw the line, and how clearly we can explain it.