t3n presents our AI video workflow in seven steps
June 04, 2026 · 1 min read
How does AI-native video production come together when it has to meet professional standards? In its latest issue, t3n Magazine takes on that question – using our workflow as the blueprint. In the guest article “So läuft’s mit KI-Videos” (How AI Video Really Works), our Managing Director Björn Schneider explains how artificial intelligence delivers not just a clip, but a brand-ready production.
The core message: in a professional setting, a simple prompt won’t cut it. Strong AI videos don’t appear at the push of a button – they come out of a clearly structured process in which every tool has its place. In the article, we break that process down into seven steps:
- Reference images for consistent characters and product representations
- Image prompts with precise descriptions and instructions
- Iteration & finetuning – quality comes from selection and plenty of loops
- Defining end frames for each sequence
- Video prompting & animation
- Transitions & storytelling
- Upscaling & polish
That this is more than theory is shown by the projects featured in the article with BayWa r.e. Solar Energy Systems and GIESSWEIN – both combining creativity, quality, and efficient execution.
If you’d like to go deeper and learn more about character consistency, voice cloning, and the craft behind AI-native video production, you’ll find the four-page article in the Skills section of t3n Magazine (No. 84).
If you’d like to go deeper and learn more about character consistency, voice cloning, and the craft behind AI-native video production, you’ll find the four-page article in the Skills section of t3n Magazine (No. 84).
