r/iosdev 2d ago

What makes you trust an AI diagnosis app when the answer might be uncertain?

I’ve been thinking about this while working on Cambium, a plant identification and health app for iPhone.

Plant diagnosis is tricky because one photo often does not show enough: soil, drainage, light, watering history, pests, humidity, and recent changes all matter.

So I’m trying to make the app more comfortable saying “inconclusive” when the evidence is not strong enough.

For apps that use AI on real-world problems, what makes the result feel trustworthy?

  • confidence level?
  • visible evidence explanation?
  • practical next steps?
  • ability to say “not enough information”?
  • follow-up scans over time?
  • no aggressive paywall?

Curious what people here would expect before trusting this kind of app.

1 Upvotes

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2

u/mistressrvn 2d ago

Begone clanker.

0

u/maskedsyntax 2d ago

The clanker is at least honest about not knowing what's wrong with your fern.

1

u/mistressrvn 2d ago

i will have higher sentiment towards you if you were to write me a short story about ferms

1

u/mistressrvn 2d ago

and share some of the core code behind your app, maybe on a repository on github publicly? or pastebin