Where you see this term In the channel's captured material, prompt adherence comes up as a criterion for choosing between image-generation tools — specifically, how faithfully a model produces exactly what the prompt asked for, such as a requested logo or a specific face, rather than drifting off in its own direction. Why it matters in tool choice In the conversation with Lucas Crespo, prompt adherence is the deciding factor when comparing ChatGPT image generation and Midjourney: ChatGPT image generation wins on prompt adherence — particularly for logos and faces — while Midjourney is preferred for layer-by-layer control. So the term is not about raw image quality; it's about whether the model follows your instructions closely enough that you can direct it, which is exactly what art direction depends on. If a tool ignores parts of your prompt, you can have a clear vision and still not be able to steer the output toward it. The trade-off to explore The implied workflow is a trade-off: pick the higher-adherence model when the prompt specifies must-match elements like brand marks and likenesses, and pick the more controllable one when you want to iterate on composition layer by layer. - Prompt adherence = how faithfully an image model follows what the prompt specified. - ChatGPT image generation wins on adherence for logos and faces; Midjourney wins on layer-by-layer control. - Choose tools by this criterion: adherence for must-match elements, control for iterative steering.