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.

That line about the real work being art direction and refinement rather than generation is something I don't think most clients grasp yet, they still see 'AI made it' as the whole story. Did you end up walking the client through that process, or did they only care about the final result?

UGC Product spec ad for HARIBO Germany made with Kling AI . . When it comes to character consistency I always prefer Kling 4K. . . Workflow: Generated character sheet in NanoBananaPro Generated 1 key frame for the product ad (to lock visual style) Took both the frame to KlingOmni

love the visual style here..!