Yehor D.

Your AI video works on one clip and falls apart on the hundredth. The face drifts, the product changes shape, and someone has to babysit the GPU. I build the part that holds up at scale: the same character and the same product in every video, made by a system that runs on your own account. WHAT I BUILD ● Video pipelines on your cloud. Your app or AI agent sends a job, a GPU worker renders it, and the finished clip lands in your storage. My last build returns a 6-second clip in under 3 minutes for about 2 cents at 480p, around 500 clips a day per GPU, and loses no jobs when a worker dies. The client closed it with 5 stars and hired me again. ● Brief-to-video factories. A topic or brief goes in, a finished vertical video comes out: script, voice, shots with the same presenter, captions synced to every word, music. You see the cost per video before you scale. ● Consistent characters and products. One face held across 40 shots of a short film. One product that keeps its shape, color and logo from scene to scene. Outfit and character changes inside existing footage with MiniMax H3, measured at 1.2 to 1.9 cents per second of video on an RTX 5090. HOW I WORK I start with a small paid test on your real material, so you see quality and cost per video before the full build. Everything runs on your accounts. You get the workflows, the Docker image and the docs, and your team or your AI agent can run it without me. Tools, picked per project: ComfyUI, MiniMax H3, Seedance, Kling, Wan, LTX, Flux, ElevenLabs, Remotion, Python, Redis queues, RunPod, Vast. Before AI I spent 6 years as a tattoo artist, so I catch the broken hands, faces and proportions that make AI video look fake.