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that's not a very innovative idea or even better UX. I think that the future wil have to do with voice commands and mcps will be the backend, exposing capabilities.


Because we are all going to be in our open planned offices shouting into the void hoping it poops out the app we want?


because you really think the AI can predict the perfect UX for human consumption out of the blue instead of simply using human made components?

AI or not won't change these sorts of UI too much.


We don't do most of our jobs with our voice. "Click" interaction is still an important one.


there is no benefit in it being AI generated though. There is a closed set of interaction behaviors.

When you want to order a pizza, you won't have to click. Just browse and ask the AI assistant to place an order as you would in a restaurant. Better UX.


Yep, that's why it's "on-demand". With LLMs, you won't need to fill the form, it's an optional interaction makes your UX process better. Please read the post and then comment :) You're possibly commenting on the title.


No I read the post. I had actually read it before I think even. But I am not convinced by the on demand part.

Isn't on demand what chat llms already do nowadays btw?

point being that generating visual UI components is easy. chatgpt does it. server driven UI does it.

But multimodal interaction is something else that goes further.


Well, AI might ask you to choose a color. Now, is it better to show a color picker UI or just ask for the name?

You might say naming the color is enough, but in reality, a color picker is the more natural way to interact.

As humans, we don’t communicate only through words. Other forms of interaction matter too.


Yes but the AI is not creating these components from zero is it (on demand part)?

It will probably have access to a list of components with their specifications, especially the type of data that the components allow to mutably (or not) represent.

Or respond to a query from a database by presenting a graph automatically.

But the hard part is to turn natural language into a sql query in my opinion. It's not really the choice of data representation which is heavily informed by the data itself (type and value) and doesn't require much inference.


I still do think you haven’t read the post :D




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