Case Study / 02
Cliponaut
An AI video editor that lets you edit videos by simply describing what you want.
- Founding Product Designer
- AI Product · 0→1
Built and launched an AI-native video editing MVP from concept to live product.
The Idea
What if editing a video was as simple as asking for the edit?
Traditional video editors are built around timelines, tracks, and complex controls. I wanted to explore a simpler interaction: describe the edit you want, and let AI handle the rest.
Traditional
Timeline → Tracks → Tools → Manual editing
Cliponaut
Describe → AI processes → Edited video
Building with AI
I didn’t start with code. I started with AI.
I didn’t have a traditional coding background when I started Cliponaut. I used AI-assisted development to understand technical concepts, build the product, debug problems, and iterate toward a working MVP.
Learn → Build → Debug → Iterate
From prompt to product
The core experience is intentionally simple: upload your clips, describe the edit, let Cliponaut process it, and review the result.
Testing
Built it. Then put it in people’s hands.
I tested the MVP with 25+ users, using their feedback to iterate on the editing experience, AI interactions, and overall usability.
25+
Early testers
What I learned
Building Cliponaut changed how I think about the role of a Product Designer. AI allowed me to move beyond designing interfaces and directly explore, build, test, and iterate on a working product.
Idea → Research → AI-assisted build → Test → Iterate → Live product
The interface is only one part of the product.