Someone was asking if the whole context engineering approach could be applied to image generation, and I think it totally can. In text, it’s about giving the model enough background so its next output has a foundation; for generating images, that means don’t expect one single prompt to cram in all the info—layer it instead.
First set the world and style tone, then give the subject details, then the camera and lighting, and even use reference images as visual context.
Multi-agent step-by-step refinement is basically the same logic. The core stays the same: models need structured premises, not a flat pile of keywords.