What you're saying is true now, but given the existence of grok-bot and similar dots (et al.) there is now an amassing amount of training data for "personal assistants" -- so in a couple of generations time, you'll find frontier models will be extremely capable in these areas.

Harnesses have been developed for this, and its also fairly trivial to do large scale verifiable-rewards post-training for "personal assistant" style things. eg., invent a booking website, invent a PA GUI-aware harness, and reward the model when a successful booking takes place. Do that 1bn times.

I don't doubt your experience with a basic lifestyle CRUD app today.

However, about 1 year ago, AI coding agents were laughed. Now the vast majority of code is written by them.

Intelligence getting exponentially cheaper per token. At some point, there will be an inflection point where "it just works".

I am in the pro food-order delivery department. I just want to tell my phone, "Hey Siri I want to order at Restaurant X, we are two people, no desert - make suggestion" and it shows me the order on the display with total price, arrival time and the selected food items. If I want, I can command changes - or simply say "Yes thats good, confirm the order" and be done. This is especially useful as I mostly order the same things across 2-3 restaurants, that is most of the time the suggestion is probably right.

A good alternative for your example is to make it create a stateful artefact (Claude) / whatever OpenAI calls ChatGPT.

And there, it has a database of sorts, running god knows where on god knows what, and you have a single-user web app that you may or may not ever open and see (since your favorite AI agent can just read and update it for you anyway).

Today it’s still something the user has to suggest / request.

Tomorrow? If they put a bit of effort these models will reach for building these one-off ephemeral or long-lived hyper-custom apps the same way they now reach for a python sandbox for basic arithmetics and statistics.

Looking for a flat? Scheduled task + CRM like artefact for it to monitor, maintain, and update.

Looking for holidays? Your own personal shareable moodboard with destinations and what not.

Have a use case or task for which chat or editing text docs is a frustrating way of correcting or giving feedback? Have it build a dedicated, custom artefact just for that.

When you encounter a use case where LLMs limits show, make them build tools.

Why wouldn't a AI be able to show you those things?

This is where I believe Apple is making a mistake by not going all in on AI.

People think it's some kind of genius move or very Apple-like move to not join the AI race.

But who is actually going to build apps on the fly better, faster for you? Siri or Opus 9? Siri or GPT 10 Astra?

When many tasks are done better on a single AI app, the iPhone moat will be greatly diminished which will open up competitors to iOS and Android.

Do you even need the top chart when you open the app and every other day it's either a Scopely property or Monopoly Go?

It's wild to know that Freecash is somehow back in the App Store after [1] earlier this year and they're actively running aggressive marketing campaigns on TV again.

[1] https://techcrunch.com/2026/04/14/how-the-rewards-app-freeca...