Project Blueprint: Cinematic Landscape Rendering // UA ECHO X MANSORY
Shifting the generative pipeline into a traditional 16:9 format to test wide-angle composition, holographic UI overlays, and high-frequency texture stability. This prototype evaluates how automated workflows handle expanded spatial dimensions and complex digital graphics.
The Stack & Pipeline:
Leveraging over 10 years of professional video editing and visual creation, I structured this layout to test precise material physics and robotic VFX integrations. This asset was generated via the automated architecture of my upcoming SaaS platform, allowing for rapid iteration with exact physical constraints.
💼 Open for Commercial Engagements:
Available for high-end commercial prototyping, brand direction, and technical visual consulting.
🚀 Actively seeking capital investment and technical partnerships to launch my visual SaaS ecosystem.
📬 DM here or drop the keyword TPV for early beta access to the software.
Have always wanted to work with one of car industry's giants.
Thank you for trusting me with 2027 model shots for marketing.
Tools used: @Higgsfield AI
La Princesa de la Luna.
New visuals for EXOT Imaginary, my personal space to explore new ways of creating through AI, visual storytelling and experimentation.
Hope you like it! a.exot
The fractured mirror effect on the faces gives it a shattered stained glass quality that fits "princesa de la luna" better than a straight portrait would. Good use of the black negative space to let those fragments breathe.
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?