"Progressive disclosure is a well-known principle in UX design. This principle is about showing users only what they need right now, and revealing more options or information gradually as they interact or gain context. The goal is to reduce cognitive load, keep interfaces clean and approachable, and still support advanced use cases when needed. The principle of progressive disclosure can be applied not only to the user interfaces we design, but also AI tools we use."
"Before we dive into how-to, it's important to answer a key question: " Why do we want to use progressive disclosure in the first place?" The reason for using the principle is pretty much the same as for UX design: to keep context clean and relevant to the task at hand. And by ' context ' I mean the context window that the AI tool uses when it processes your task."
Progressive disclosure shows only the information needed now and reveals more options or details gradually as interaction or context grows. The approach reduces cognitive load, keeps interfaces clean, and still enables advanced use cases. The same approach applies to AI tools by limiting what is provided to the model at each step. Limiting content keeps the model's context window focused on task-relevant information, improving reasoning and efficiency. The context window is the maximum information the model can see, remember, and reason over, including prompts, instructions, conversation history, and pasted documents.
Read at Medium
Unable to calculate read time
Collection
[
|
...
]