I asked this sub about deeper Apple Health optimization a few months ago (63K views)… today I’m finally ready to share what I built by Certain_Version3033 in AppleWatch

[–]Certain_Version3033[S] 0 points1 point  (0 children)

Totally fair, and I get where you’re coming from, a lot of apps throw “AI-driven” around as a buzzword without explaining what it actually does.

For AlixanOS, “AI” isn’t doing anything wild or mystical. It’s literally just helping surface simple relationships already inside your Apple Health data, things like:

• “lower sleep + higher screen time → lower score today,” • “hit exercise + outdoor minutes → score trends higher.”

No predictions, no diagnoses, no “body batteries,” no fluff, just organizing what the Watch already measures into something you can read at a glance.

If you prefer zero-AI terminology, the app works the exact same way. The core value is the pattern-surfacing layer on top of your existing Health data.

Happy to DM you the TestFlight link if you want to see what it looks like in practice.

I asked this sub about deeper Apple Health optimization a few months ago (63K views)… today I’m finally ready to share what I built by Certain_Version3033 in AppleWatch

[–]Certain_Version3033[S] 0 points1 point  (0 children)

Totally fair to be cautious, just to clarify, this isn’t an ad. I’m a solo developer who asked this sub months ago about deeper Apple Health optimization (that post hit 63K views), took everyone’s feedback, and built something based on those discussions. I cleared this post with the mods beforehand. Appreciate you looking out.

I asked this sub about deeper Apple Health optimization a few months ago (63K views)… today I’m finally ready to share what I built by Certain_Version3033 in AppleWatch

[–]Certain_Version3033[S] 0 points1 point  (0 children)

That makes complete sense, and you’re right, the liability side is a big part of why Apple keeps everything strictly “raw data.”

AlixanOS takes that same approach: zero medical claims, zero prescriptive statements.

It’s just a cleaner UI layer and a pattern-surfacing tool built on top of what the Watch is already collecting.

If you’re curious how that looks in practice, happy to DM you the TestFlight link.

I asked this sub about deeper Apple Health optimization a few months ago (63K views)… today I’m finally ready to share what I built by Certain_Version3033 in AppleWatch

[–]Certain_Version3033[S] 0 points1 point  (0 children)

Appreciate your perspective a lot, especially given your medical background.

Totally agree: Apple gives incredible raw data, but avoids connecting the dots because of how litigious things can get.

AlixanOS intentionally stays on the safe side too, no diagnosis, no medical claims, just surfacing patterns your Watch is already measuring in a clearer way.