Apple Intelligence is actually powerful enough for some daily tasks.
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When designing our AI features in Weather mini 3, we avoided third-party cloud services and heavy local LLM setups. Instead, we rely on what’s already built into users devices — no accounts, no downloads, no configuration. The goal is simple: a truly easy, “just works” experience that’s good enough to be useful in real life.
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Weather mini
Flowtica Scribe
Love the "native" approach here. Avoiding heavy dependencies makes a lot of sense for a utility app.
From a developer's perspective, how do you evaluate the current state of Apple Intelligence? Does it effectively support the full user experience you envisioned for Weather mini?
And compared to cloud models, in what specific areas do you feel Apple's on-device capabilities are still falling short?
If the quality is not good, who cares if it's fast?
Weather mini
@jdheeter Totally.
We still care about quality, but our use case is narrow: parsing dates/cities and summarizing weather, not open-ended creative work. For that kind of simple text workflow, a smaller on-device model can hit “good enough” quality while staying instant and private.
@kailuo Perfect! Yeah you don't need a giant datacenter for that.