Case study AIA
A prototype that had to become a product people could launch on
The client had built a working sample in an AI app builder: describe a website, an app, a game, or an agent, and get it back. The idea was proven. What it needed next was engineering. and they came to us specifically for the quality of code, because a demo and a launchable product are not the same artefact.
Services Product engineering & production hardening
Category AI build platform
Client AIA
Stack Next.js
The problem
Prototype-grade code does not survive real users.
Generated scaffolding gets you to a convincing demo. It does not get you to something you can put a marketing budget behind.
✓Prototype architecture never designed for real traffic ✓No confidence in the code quality underneath ✓Generation flows that worked in the happy path only ✓Nothing structured well enough for a team to extend ✓A launch date the existing build could not carry
What it was costing
✓Launch risk on the most visible moment the product gets ✓Every future feature harder because of the foundation ✓No engineering answer when something broke in front of users ✓A proven idea stuck at the demo stage
Our approach
Re-engineer the foundation, keep the idea
We kept what the prototype proved and rebuilt the parts that would have failed in public. structure, boundaries, and code a team can keep working in.
✓Rebuilt the application on a production Next.js foundation ✓Structured the generation flows so failure states are handled ✓Tightened the code quality the client came to us for ✓Prepared the build for launch traffic rather than demo traffic ✓Left an architecture their own team can extend
Core capabilities
What it does now
One prompt to a website, an app, a Web3 product, a game, or an agent. live.
✓Prompt-to-product generation across multiple output types ✓Production-grade application foundation ✓Handled failure paths instead of happy-path-only flows ✓Code structured for a team to build on ✓Launched and publicly available