Case study
Hustlrr: building a native AI chat app for Apple devices.
Hustlrr is an AI chat product built for Apple devices. I led the product execution and engineering work across native UX, AI features, platform polish, and the release details needed to ship a serious app.
Platform
iPhone, iPad, and Mac
Native Apple-platform product work with a consistent experience across devices.
Focus
AI UX and product clarity
Making multi-model AI features feel useful, understandable, and worth returning to.
Role
Product and engineering
Shaping the product, building the app, and handling the delivery details around it.
This shipped
Public App Store release
A real product with App Store delivery, iteration, and live native product constraints.
The challenge
AI apps get complicated fast.
It is easy to turn an AI chat app into a messy pile of model names, feature flags, and prompts. The work here was not just wiring up AI responses. It was making the app feel native, understandable, and calm enough that people could actually use it every day on Apple devices.
What I shipped
- Native AI chat flows designed for Apple devices instead of a thin wrapper around a web product.
- Multi-model support with product decisions around comparison and model choice.
- Document uploads, voice input, and side-by-side answer experiences.
- iCloud-backed continuity so the product feels cohesive across devices.
- Visual polish and release work to take the app from idea to public App Store product.
What this shows
- I can work on AI-powered Apple apps without letting the product collapse into feature clutter.
- I am comfortable shaping product decisions, not just implementing tickets.
- I care about native interaction quality, delivery speed, and launch-readiness in the same project.
Next
Need this kind of Apple app execution on your product?
I work with a small number of founders and teams who want strong native engineering plus product judgment.