Excited to enter Another Big Ad Contest hosted by Runway for a chance at $100,000 in prizes!🔥 My...Excited to enter Another Big Ad Contest hosted by Runway for a chance at $100,000 in prizes!🔥 My...
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Excited to enter Another Big Ad Contest hosted by Runway for a chance at $100,000 in prizes!🔥
My pick was a portable speaker Jaunt as my product.
All the visuals were generated inside Runway.
Song was generated by me in Suno.
Post-edit in DaVinci Studio.
Let me know your thoughts!
Runway for the visuals plus Suno for the song is such a tight little pipeline. Curious what the DaVinci pass added that the raw generations didn't already have.
Just published a new case study👀
This project was a good reminder that a product video is not just about making things move. It’s about finding the right way to explain something complex, keeping the visuals clear, and making sure every animation has a purpose.
For this one, I worked on an AI coaching platform, turning its features and workflow into a structured 90-second explainer.
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?