AMPECO. 5× the output, still on brand.

In my design role at AMPECO, I created the company's new design system and built an AI design engine on top of it. An agent checks its output before a person does. The whole team now makes the on-brand work that used to wait for one designer.

Output on design-inclusive tasks: 5×

On-brand work, from one designer's queue to the whole team: 1 → team

One queue, made self-serve.

Before

On-brand assets made by one designer, one request at a time
The brand's rules were in Figma and in people's heads, where no AI tool could read them

What I built

The company's new design system, built in Figma
The same system written as docs a machine can read, one file per component
An AI engine on top, not tied to any one AI tool
A dashboard of self-serve makers, among them a social maker and a diagram maker that exports SVG and PNG, plus an asset library
An auditor agent that checks every output against the system

Inside the engine.

One file per component
Every component, style and rule has its own machine-readable file: what it is, where it's used, what not to do. The AI reads the same rules a designer works from.
A base, not an app
The engine is a layer under the AI tools. When a better model or tool arrives, the company's design rules move with it.
Its own reviewer
An auditor agent reviews each output against the system and flags what drifts, so the designers see work that already passed.