[legostormtroopr]

Unless I am wildly misreading this, this is actually worse that both GUIs and LLMs combined.

LLMs offer a level of flexibility and non-determinism that allow them to adapt to different situations.

GUIs offer precision and predictability - they are the same every time. Which means people can learn them and navigate them quickly. If you've ever seen a bank teller or rental car agent navigate a GUI or TUI they tab through and type so quickly because they have expert familliarity.

But this - with a non-determinstic user interface generated by AI, every time a user engages with a UI its different. So they a more rigid UI but also a non-deterministic set of options every time. Which means instead of memorising what is in every drop down and tabbing through quickly, they need to re-learn the interface every time.

[AlexCoventry]

I don't think you have to use this if it's not working in your case. I think the idea is to try to anticipate the next few turns of the conversation, so you can pick the tree you want to go down in a fast way. If the prediction is accurate, I could see that being effective.

[dwb]

It’s intended for conversations that are probably different every time too. It’s like a more expressive form of what Claude Code already does with the “AskUserQuestion” interface.

[amelius]

> GUIs offer precision and predictability - they are the same every time.

Except after an update everything is in a different place.

[DrScientist]

Yep - I'm looking at you MS office ribbon. Just as I learnt where things are some update decides to move stuff around.

The people responsible for stuff like this should be put in stocks in public squares and pelted with tomatoes ;-)