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325 points davidbarker | 3 comments | | HN request time: 1.682s | source
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WXLCKNO ◴[] No.44380250[source]
The tiniest step towards a future where AI eats all apps.

No persistent storage and other limitations make it just a toy for now but we can imagine how people will just create their own Todo apps, gym logging apps and whatever other simple thing.

no external API access currently but when that's available or app users can communicate with other app users, some virality is possible for people who make the best tiny apps.

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1. headcanon ◴[] No.44380854[source]
One thing I've learned is that no matter how easy it is to create stuff, most users will still favor the one-click app install, even if they don't get full control over the workflow.

With that said, I'm sure there are a lot of power users who are loving the lower barrier to creation

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2. wombatpm ◴[] No.44384192[source]
You can build lots of cool stuff. Getting corporate IT to allow api access is like pulling teeth. We have Outlook and Teams, which have APIs that can do things. But no one has the ability to access them. So much for automating your workflows.

Reminds me of Lotus Notes back in the day. It could do anything and had great potential, but there were only 3 developers who had access. In a company of 50k employees.

3. Workaccount2 ◴[] No.44387489[source]
A huge difference between bespoke generated AI apps and one click download apps is that the friction drops dramatically.

Downloading the app may be one click...but then create an account. Attach a CC. Follow a tutorial. Figure out the app even more.

With LLM apps, there is none of that. You created the app so you pretty much know a priori how to use it. If you are unsure the model knows and you can just ask. If you want it to do something different, the model can just change it for you.

The modern software paradigm is building software that covers as massive of a solution space as possible, so as many users as possible have a problem that is covered by that space. You end up having to make lots of compromises and unintuitive steps to cover all the bases.

LLM apps cover your problem space pretty much perfectly, without anything more.