"WHEN THEY DANCE" is an experimental AI cinematic piece focused on the elegance of human movement and the fluid nature of dance. This project serves as a technical benchmark for achieving high-quality character consistency and natural motion using advanced generative AI tools. I aimed to capture the rhythm and emotional expression of dance through a surreal, high-fashion lens.
My Role & Process
As the Full-Stack AI Producer, I focused on overcoming the "uncanny valley" of AI-generated movement:
Motion Choreography (AI): Using precise motion-control prompting in Kling and Runway to ensure limbs and body movements remained anatomically plausible and graceful.
Artistic Direction: Developing a visually rich environment with dramatic lighting and textures that complement the energy of the dance.
Advanced Consistency: Implementing frame-to-frame stabilization techniques to maintain character features and clothing details throughout complex movements.
Post-Production Mastering: Editing, color grading, and enhancing the final footage to achieve a 4K "film-like" grain and professional finish.
Three peculiar stories. One wonderfully distorted reality.
A suspiciously curious cat, an eccentric family with secrets dating back to 1892, and a collection of memories coming together to tell their own STORY.
For this project, I combined surreal AI-generated visuals with manually edited camera shakes, white flashes, music synchronisation and carefully timed transitions using the InVideo Editor.
Halfway through, my AI credits ran out — so I completed the remaining effects manually.
Apparently, even artificial intelligence has a budget. 😉
Creative direction, storytelling and final editing by The Triadic Studio.
Manual work is always better than ai slop you can use ai for some clips but full video made with ai is unprofessional and a waste of money and resources
Making complex cybersecurity concepts clear through motion.
For the Doppel Threat Graph product film, I contributed to the visual development and animation. The product connects digital threats across multiple channels, revealing how individual signals form part of a coordinated attack campaign.
The challenge was to translate this technical functionality into a clear visual narrative—showing why the connections between threats matter and how they help reveal the bigger picture.
My work covered storyboard and motion exploration, animation, and scene refinement throughout the feedback process. The focus was on introducing information progressively and guiding attention toward the relationships central to the product’s value.
The result is an animated product film that introduces Doppel Threat Graph and makes its core functionality easier to understand. The project demonstrates how motion design can bring clarity to a complex software product.