Prompt.
Generate.
Distribute.

User provides a text prompt, optional reference images, and style presets — luxury, cinematic, maritime, coastal. No CAD files, no geometry. Pure creative intent.

Vision models extract objects, environment context, and style intent from reference images. NLP models parse the prompt to identify spatial relationships, mood, and cinematic style.

Claude 3.5 Sonnet converts natural language and vision analysis into a structured Scene Logic JSON — defining spatial layout, camera paths, lighting environment, and material palette.

{
  "scene": "luxury superyacht at dusk",
  "camera_path": "slow aerial orbit",
  "lighting": "golden hour HDRI",
  "materials": [
    "polished teak wood",
    "brushed stainless steel",
    "tempered glass"
  ],
  "mood": "cinematic luxury"
}

Diffusion models generate high-fidelity cinematic keyframes from the structured scene JSON. Multi-angle consistency maintained across all frames to ensure coherent video generation downstream.

LUT color grading, motion blur, depth-of-field simulation. Suno v4 soundtrack generation + ElevenLabs narration. Branded overlays applied. Output to video, web, social, and broadcast formats simultaneously.