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The Aion Lab
Case studyConsumer AIAI productsOur own product, in the wild.

Our own product, in the wild.

A consumer AI product designed, shipped to the App Store, and operated in-house.

shipped
App Storeshipped
to a read
<10sto a read
built and operated
In-housebuilt and operated
01

The Challenge

We hold ourselves to the same bar we sell: take a product from idea to strangers' phones. flagg'd is conversation analysis for the moment texts stop adding up — screenshot a conversation, get a green/yellow/red read with behavioral scores in seconds.

02

The Constraint

Consumer AI is unforgiving — anonymous users, instant judgment, zero onboarding patience. The analysis had to land in under ten seconds with no sign-up, and be right enough to share.

03

The Approach

Designed, built, shipped, and operated in-house: the analysis pipeline, scoring model presentation, App Store distribution, and the live operations behind it.

04

The Impact

A shipped, operating consumer AI product — and the reason “Ship” is an offering, not an aspiration. Every client build benefits from lessons we paid for ourselves.

What would you ship if one studio ran it end to end?

Thirty minutes, no deck. Describe the problem as it really is and we'll tell you honestly what we'd do about it.