This repository documents an evaluation and design study of
AI-generated video for use in education, technical presentations, and research materials.
The focus is not on visual spectacle, but on:
- reproducible prompt design
- stable and inspectable workflows
- identifying and avoiding technical or conceptual inaccuracies
AI-generated video is treated strictly as a supporting visual layer,
never as a primary carrier of information.
This repository exists to:
- evaluate whether AI-generated video can be safely integrated into educational and technical contexts
- document prompt patterns and workflows that do not compromise correctness
- explicitly define what should and should not be animated
The emphasis is on risk identification and reduction,
not expressive freedom or creative exploration.
After hands-on experimentation, the following conclusions were reached:
- AI-generated video is not suitable as a core medium for technical explanation
- Output variability and tool-driven constraints limit reproducibility
- Credit-based generation models discourage iterative verification
As a result, AI video is considered out-of-scope for primary instructional content,
and its use is restricted to optional, non-informational contexts.
- Videos are short (typically 5–15 seconds)
- No equations, no numbers, and no critical symbols in motion
- No readable text or data-bearing elements
- AI video may be used only for:
- introductions
- atmosphere setting
- abstract or conceptual background
If visual motion risks misinterpretation, the video must be discarded.
ai-video-lab/
├─ prompts/ # Reproducible prompt patterns (evaluated)
├─ workflows/ # Generation and post-processing workflows
├─ samples/ # Minimal reference outputs
└─ notes/ # Pitfalls, failures, and evaluation notes
Each directory exists to support reviewability and traceability,
not artistic iteration.
- Lecture or course introductions
- Research presentation openings
- Conceptual framing before static diagrams or equations
AI video is intended to precede accurate content,
never to replace it.
This repository does not aim to support:
- full-length or narrative videos
- animated equations or precision-dependent schematics
- demonstrations implying numerical or physical accuracy
- tool-specific tutorials without generalizable methodology
If a use case cannot be generalized or reviewed, it does not belong here.
AI-generated video is treated as visual context, not as truth.
All correctness must originate from:
- static figures
- diagrams
- equations
- spoken or written explanation
When in doubt, do not animate.
This conservative stance is intentional and central to the design of this lab.
| 📌 Item | Details |
|---|---|
| Name | Shinichi Samizo |
| Expertise | Semiconductor devices (logic, memory, high-voltage mixed-signal) Thin-film piezo actuators for inkjet systems Printhead productization, BOM management, ISO training |
| GitHub |  |
| 📌 Item | License | Description |
|---|---|---|
| Source Code | MIT License | Free to use, modify, and redistribute |
| Text Materials | CC BY 4.0 or CC BY-SA 4.0 | Attribution required; share-alike applies for BY-SA |
| Figures & Diagrams | CC BY-NC 4.0 | Non-commercial use only |
| External References | Follow the original license | Cite the original source properly |