TrueTalk

An AI product advisor that helps people decide what to build.

The problem

People with product ideas struggle to turn them into a clear, buildable plan — and generic chatbots give shallow, unreliable advice.

Our approach

A focused AI product-advisor app on a reliable LLM backend: structured guidance, multi-provider failover, and a mobile experience built to ship on the App Store.

Outcome

Shipped to the App Store and Google Play.

Why a general chatbot was not the product

Someone with a product idea does not need more text. They need the idea turned into something buildable: what it actually is, what it would take, and which parts are load-bearing. A general-purpose assistant will answer that question, but it answers it differently every time and with no sense of what it has already established.

TrueTalk is built around structured guidance instead — the conversation has a shape, and the shape is what carries a vague idea toward a plan. That constraint is the product, and most of the engineering follows from taking it seriously.

Multi-provider failover, from the first architecture

A product whose core feature is a model call inherits that model's outages. For an advisory app that is not a degraded experience — it is a blank screen at the moment someone is trying to think.

So the backend routes across multiple LLM providers rather than integrating one and adding alternatives later. Retrofitting failover means unpicking a provider's assumptions from every call site; designing for it up front means the provider is a configuration detail. It is the same reliability work the studio does for clients, applied to its own product first.

Built end to end, and taken to the App Store

Expo and React Native on the front, Node and PostgreSQL behind it, and everything between the two written rather than assembled. Taking it through to App Store launch readiness is the part that separates a working prototype from a product: the flows that only matter on a real device, the states nobody demos, and the review requirements that have nothing to do with whether the software works.

This is the shape of engagement the studio offers as fractional CTO work — architecture through to a launched app — done here on its own product.