alt Hacker NewsLLMs themselves are the coffin for most apps, because by its very nature, AI subsumes products.
UX is not going to be a prime motivator, because the product itself is the very thing that stands between user and the thing they want. UX-wise, for most software, it's better for users to have all these products to be reduced to tool calls for AI agents, accessible via a single interface.
The very concept of product itself is limiting users to interactions allowed by the product vendor[0] - meanwhile, used as tools for AI agents allows them to be combined in ways user need[1].
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[0] - Something that, thanks to move to the web and switching data exchange model from "saving files" to "sharing documents", became the way for SaaS businesses to make money by taking user data hostage - a raison d'être for many products. AI integration threatens that.
[1] - And vendors would very much like users to not be able to. There's going to be some interesting fights here, as general-purpose AI tools are an existential threat to most of the software industry itself.
Depends on the product itself. For example I use an LLM for tracking calorie data by telling it or providing a picture of the food I had, and it does a web search to find those details. The problem is it doesn't actually remember past meals, so I wrapped this API call in a simple app that just tracks the calorie numbers like a traditional app.
Just having an LLM is not the right UX for the vast majority of apps.