About Annie

I make things because I can’t stop asking why they don’t already exist.

I’m Annie Vickrey, founder of Aesthetary.

I’m not an art historian or a career academic.

I came to this through making digital things.

I’ve spent my career moving between digital production, operations, UX, strategy and technology — usually somewhere in the middle of several disciplines, trying to understand how all the pieces fit together.

• Research affects strategy.
• Strategy affects words.
• Words affect design.
• Design affects development.
• Development exposes problems in the design.

And eventually somebody has to make the whole thing actually work.

That part has always interested me.

Then I found a problem I couldn’t leave alone.

Ask someone what they want something to look like and you’ll hear:

Modern. Clean. Bold. Luxury. Edgy.

Or they’ll send twelve images and say:

“Something like this.”

Designers can often look at those references and intuit what the person means.

Clients usually know when something feels right, even when they can’t explain why.

AI can now generate something that looks plausibly designed in seconds.

But there is an enormous amount of information trapped between those things.

• What makes something recognizably Swiss?
• Which characteristics are structural and which are decorative?
• Why do two aesthetics that initially look similar feel completely different?
• What can change before an aesthetic stops being itself?
• What happens when two visual languages collide?
• And how do you describe all of that precisely enough that a person and a machine can understand the same thing?

I didn’t set out to build an encyclopedia.

• I wanted a better vocabulary.
• Then the vocabulary needed definitions.
• The definitions needed examples.
• The examples needed evidence.
• The evidence needed provenance.
• The aesthetics needed relationships.
• The relationships needed structure.
• The structure needed a taxonomy.

And eventually I looked up and realized I was building something considerably larger than the thing I originally thought I was building.

I like the spaces between disciplines.

My career has moved through agencies, digital production and operations, UX and increasingly hands-on web production.

For a long time, making something digital meant handing it through a chain of specialists.

Researcher. Strategist. Writer. Designer. Developer. Producer. QA.

Those disciplines still matter. The expertise inside them matters.

But AI has changed how much territory one curious person can cross.

I can research an idea, structure it, write it, design it, build it, test it, hate parts of it, rebuild those parts and test it again without waiting for the idea to travel through six departments first.

That doesn’t make me an expert in everything I touch.

It means I can learn by making much faster than I could before.

And that is probably the most important part.

I don’t need to already know something to become obsessed with understanding it.

Aesthetary has repeatedly taken me into subjects where I am not the authority.

That’s a feature, not something I want to disguise.

When I don’t know, I research.

When sources disagree, the disagreement matters.

When a classification doesn’t hold up, it changes.

When someone who knows more catches something wrong, the system should be capable of getting better.

I’m interested in turning fuzzy things into structured things without pretending the fuzziness never existed.

So Aesthetary needs to distinguish between what is established, what is interpreted, what is contested and what we simply don’t know yet.

What I care about

Aesthetary is not supposed to tell people what looks good.

Taste is personal.

The interesting question is:

Can we describe why something looks the way it does?

• What period or culture is being referenced?
• Which characteristics actually define the visual language?
• Which are optional?
• What typography, composition, materials, colors and image treatments recur?
• What gets confused with it?
• What does not belong?
• Where did those claims come from?

And once that language exists — what can people do with it?

• A student can learn from it.
• A designer can use it to explain a decision.
• A client can finally articulate what they mean.
• A teacher can teach with it.
• A developer can translate visual direction into implementation.
• Someone can discover a visual language they didn’t know had a name.

And AI systems can work with something more precise than “Make it sophisticated but edgy.”

Rigor does not require becoming boring.

This is probably obvious by now.

A serious reference system can still have personality.

A taxonomy can contain jokes.

An educational resource can be beautiful.

A machine-readable dataset can coexist with an inappropriate neon sign.

Expertise does not become more credible because somebody removed all the fuchsia.

I build by making the thing.

My natural response to an idea is usually to make a version.

Then look at it.

Then discover everything wrong with it.

Then make another version.

• Research changes the product.
• The product exposes problems in the research.
• Design exposes problems in the structure.
• Building exposes problems in the design.
• Testing exposes problems I somehow stared directly at for six hours without seeing.

So the work doesn’t move politely from left to right.

Think → make → break → learn → rebuild.

Why “Aesthetary”?

Because taste and aesthetic intelligence are not the same thing.

Taste is personal.

Aesthetic intelligence is the ability to notice, distinguish, describe, understand and intentionally work with visual language.

You don’t have to like Swiss Design to understand it.

You don’t have to decorate your home in Art Nouveau to recognize what makes Art Nouveau coherent.

And you don’t need to share somebody else’s taste to understand why their choices belong together.

What I’m building

I want Aesthetary to become a serious, living reference system for visual language.

• Something designers use.
• Something students learn from.
• Something teachers teach with.
• Something clients use to articulate what they mean.
• Something developers build against.
• Something researchers challenge.
• Something creative tools connect to.
• Something AI systems can query instead of generating another generic interpretation of “editorial.”

Not a finished list declaring that visual culture has been solved.

A system capable of documenting how visual languages form, overlap, evolve, collide and get reinterpreted — and preserving enough evidence that people can challenge the record when it gets something wrong.

A living map, not a finished list.

And eventually, it should contain considerably more knowledge than I could possibly possess myself.

That’s the point.

Annie Vickrey

Founder, Aesthetary

Digital producer, researcher, builder and compulsive categorizer.

Currently interested in the increasingly blurry boundary between human taste, visual culture and machine understanding.

Still asking why this doesn’t already exist.

So I’m building it.