AI Frame API.

An AI frame workflow gives a model selected visual evidence and asks for a useful interpretation or transformation. The task might be a caption, a classification, a suggested crop, or a comparison between moments. Each requires a different output contract and evaluation method. An image-capable endpoint does not automatically provide exact counting, reliable localization, continuous video understanding, or image generation. Define the job in observable terms before selecting a model or designing the interface around its response.

The guides in this archive emphasize preparation, explicit questions, and validation against the original image. Pay attention to what disappears during resizing or sampling, since a model cannot recover evidence it never receives. The AI frame topic overview connects model inputs with practical review steps. Begin with a handful of representative images and include cases where uncertainty is the correct answer. That makes the difference between a compelling demonstration and a useful workflow easier to assess.