Video composition application using GPT-5 as a backbone to prompt and create motion graphics from code. Users prompt the visuals they want in natural language, retool the result and compose them together into larger projects. Each video can be converted into a "block" which is automatically parameterized and can be added as pieces to other videos, which themselves can be blocked as well. The LLM takes in visuals, textual data, research context as parameters to each video block to create graphics, animations, etc. anchored to data and contextually linked via the LLM. The result is LLM as a context-manager for a graphics studio that can export to apps, chain data, and be automated to generate based on fed parameters which semantically evolve and develop with the content of the video.
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