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Learning, experimenting, and bringing my ideas to life—one frame at a time.
Also can you rate this edit 😃 out of 10.
The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started
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This was one of the most fun AI projects I’ve worked on lately.
For Tecnofas, we created a full clay-style animation, literally building the visual language around that handcrafted, stop-motion look, but produced with AI.
The video above is a compilation of some of the scenes we developed for the project.
The creative challenge was to explain a very technical difference in a way that felt simple and visual: comparing a traditional retrofit construction process with a ventilated façade system, which can reduce the number of workers needed on site by up to 60%.
Tecnofas is the kind of client that really enjoys experimenting with new visual languages, so we had a lot of freedom to explore the concept, test ideas and push the AI workflow beyond a standard corporate animation.
That freedom made the process especially enjoyable. Instead of using AI only to make production faster, we used it to create a visual style that would probably never have been the obvious choice for this kind of industrial communication.
One of the challenges with this Inplac project is that the client doesn’t always have access to strong, current product photography.
I don’t see that as a limitation.
For this piece, we used AI to build highly detailed product visuals from the available references, then developed those images into animated scenes for social content and ads.
The goal wasn’t to create something that simply looked polished. It was to make the product feel tangible, well presented and visually convincing even when the original production material was limited.
A lot of the work comes down to art direction: defining the scene, lighting, materials, framing and movement in a way that still feels coherent with the real product.
For clients with difficult or expensive product shoots, this opens up a lot of possibilities. Limited photography doesn’t have to mean limited content.
This project started with a very specific idea for how a static product visual should move.
The base artwork was created with ChatGPT and Nano Banana, but before generating the final animation, I spent time refining the prompt and defining the exact movement, camera behavior and energy we wanted.
I tested the direction with different models, including Kling 2.5, using those iterations to improve the prompt before producing the final sequence with Seedance 2.5.
The result was extremely close to what we had planned, including the animation and even the sound effect that completed the motion.
For me, this is where AI production gets interesting: the real work is not simply generating. It is art direction, prompt design, testing and refinement until the model delivers the intended result.