When Making Becomes Designing

In contemporary design practice, making increasingly begins long before material is touched.

We model geometry, simulate behavior, generate toolpaths, test assemblies, and define tolerances digitally. By the time a CNC machine begins cutting, a robotic arm starts moving, or a 3D printer deposits its first layer, much of the design has already been determined. The fabrication machine receives a set of instructions, and our expectation is usually straightforward: the physical object should reproduce those instructions as accurately as possible.

In this process, fabrication becomes an act of execution.

The machine is valuable precisely because it can minimize deviation between intention and outcome.

As someone whose work frequently engages computational design and digital fabrication, I am deeply interested in this precision. Machines allow us to construct geometries that would be extremely difficult to produce manually, repeat complex operations consistently, and translate abstract systems into physical form with remarkable accuracy.

Yet while working on Loving Vincent, a hand-built illuminated ceramic piece, I became increasingly aware of a very different relationship between design and fabrication.

When working by hand, I was not simply executing something that had already been designed.

I was continuing to design through the act of making.

That distinction changed the way I understood craft.

Before the Machine Starts, the Design Is Already There

Digital fabrication usually requires a relatively clear separation between two stages: design and production.

Before sending a model to a fabrication machine, we make decisions about dimensions, geometry, density, thickness, pattern, orientation, and sometimes even the precise trajectory of the machine itself.

There can still be experimentation, of course. A failed print may lead to a revised model. A material test may change a parameter. Fabrication can feed information back into design.

But during each individual fabrication attempt, our instinct is generally to reduce uncertainty.

Once the machine starts, we tend to hope that nothing unexpected happens.

A print that warps away from the digital model is often treated as a failure. A CNC tool that removes more material than expected becomes an error. A robotic process that deviates from its intended path requires calibration.

The logic is understandable.

The digital model represents an intention, and fabrication is expected to preserve it.

In many machine-based workflows, the closer the physical result is to the predetermined digital geometry, the more successful the process appears to be.

Handcraft introduced me to almost the opposite condition.

When working directly with clay, I found that uncertainty was not necessarily something to eliminate. It could become part of the design process itself.

The material was continuously giving me information, and that information constantly changed what I wanted to do next.

A Design That Could Not Be Fully Designed in Advance

Loving Vincent began with a relatively clear intention.

I wanted to explore the physical character of Vincent van Gogh’s brushwork—not simply as a painted image, but as a three-dimensional material condition.

Van Gogh’s paintings are visually powerful partly because the brushstrokes do not disappear into the image. The paint itself remains present. Direction, pressure, thickness, accumulation, and movement can all be perceived in the surface.

A brushstroke carries color, but it also records an action.

I wanted to reinterpret this quality through clay.

Rather than reproducing a painting as a flat ceramic image, I began constructing a surface from individually formed pieces of clay. These elements gradually accumulated into a dense field of ridges, folds, overlaps, and directional textures. Light placed inside the ceramic body would eventually interact with those variations, turning thickness and relief into differences of illumination and shadow.

At the beginning, I had an image in mind.

But I did not have a complete design.

More importantly, I gradually realized that having a complete design beforehand might actually have prevented the work from developing in the way it eventually did.

Because every time I touched the clay, the material suggested something new.

Material Knowledge That Cannot Be Seen

One of the most important things I learned while making the piece was also one of the simplest: the same clay behaves very differently at different moments.

When clay contains more moisture, it is highly plastic.

It can be stretched, compressed, folded, pressed, twisted, or blended into neighboring pieces with relative ease. This softness makes certain kinds of expressive deformation possible.

But the same moisture that gives clay its plasticity also reduces its ability to support itself.

If the clay is too wet, a form that initially looks beautiful may slowly collapse under its own weight. Thin projections bend. Textures lose definition. Layers that appeared stable begin to deform.

As the clay dries, the relationship changes.

It becomes more structurally reliable. Elements that could not previously support themselves become stable enough to carry additional material. Edges remain sharper. Certain assemblies become easier to construct.

At the same time, the material becomes less forgiving.

Push too far and it may crack. Bend too aggressively and it may break. Connections become more difficult. The range of possible transformations narrows.

The interesting part is that this information is not fully visible.

Looking at the clay tells me something, but touching it tells me much more.

The fingers can feel resistance that the eyes cannot measure.

A slight change in pressure reveals whether an area can still be reshaped. The way an edge bends indicates how much moisture remains. The resistance of the surface suggests whether another piece can be attached immediately or whether the object should be left alone for a while.

This type of understanding is difficult to acquire through images, specifications, or even verbal explanations.

Someone could tell me that wetter clay is more plastic and drier clay is more structurally stable. Intellectually, I would understand the sentence immediately.

But understanding the sentence is not the same as understanding the material.

The latter only emerged through repeated physical encounters.

Touching.

Pressing.

Waiting.

Breaking.

Repairing.

Trying again.

Over time, the hand begins to recognize conditions before the mind has fully translated them into language.

That knowledge becomes embodied.

Making as a Feedback Loop

This experience changed the structure of the design process.

Instead of:

Design → Fabricate

the work began to operate more like:

Design → Make → Observe → Learn → Adjust → Make Again

The difference may appear small, but it fundamentally changes the role of fabrication.

Making is no longer the final stage of design.

Making becomes one of the ways design happens.

While constructing Loving Vincent, I would often attach a group of ceramic elements and then stop to look at the emerging composition.

Sometimes an area felt too regular.

Sometimes the texture became too dense.

Sometimes the direction of the pieces began creating a movement that I had not anticipated.

I would respond to what was already there.

A new element might become longer because the previous section felt compressed. Another might become thinner to create contrast. A curve might continue an accidental movement that had emerged several pieces earlier.

The design was therefore not generated from a complete image and then divided into parts.

It accumulated through a sequence of local decisions.

Each decision changed the context for the next one.

What I made five minutes earlier affected what I wanted to make five minutes later.

This continuous feedback is one of the qualities I find most compelling about craft.

The Difference Between Variation and Response

It would be easy to describe this as a celebration of imperfection.

But I do not think imperfection is the real distinction between machine making and handcraft.

Machines are perfectly capable of producing irregularity.

A computational system can introduce randomness into geometry. A script can vary the rotation, length, curvature, thickness, or spacing of thousands of elements. A 3D-printed object can contain far more formal variation than a person could realistically produce by hand.

Digital fabrication does not have to look repetitive or mechanical.

So the value of craft cannot simply be that every handmade element is slightly different.

The more meaningful distinction, for me, is between variation and response.

A computer can generate variation according to rules defined in advance.

But during manual making, variation can emerge because the maker is continuously responding to the current condition of the object and the material.

One piece is changed because the previous piece feels too heavy.

Another is rotated because the composition has started pulling too strongly in one direction.

A crack may lead to a new connection.

A deformation may reveal a texture that becomes useful elsewhere.

These differences are not merely random.

They carry a history of observation and decision.

Every deviation can become evidence of a conversation between intention and material.

When Material Begins to Influence the Design

Digital workflows often encourage us to think about material as something that receives geometry.

We define a form first and then ask how that form can be fabricated using a particular material.

Handcraft can reverse this relationship.

Instead of only asking:

How can I make this material follow my design?

I began asking:

What kind of design becomes possible because the material behaves this way?

That shift is subtle but important.

If the clay is extremely soft, perhaps I should not force it to preserve a rigid geometry. Perhaps its tendency to sag can become part of the texture.

If an area has already dried enough to become structurally stable, perhaps it can support a new layer that would have been impossible several hours earlier.

If repeated pressure produces an unexpected edge, perhaps that edge can become part of the visual language rather than something to correct.

The material is not literally designing the object.

But it continuously changes the space of available decisions.

The designer is no longer operating alone.

Material behavior becomes an active constraint, and sometimes an active source of ideas.

This relationship is difficult to reproduce when material contact is postponed until the final stage of production.

Craft Is Not the Absence of Design

There is also a misconception that handmade work is somehow less designed because it is more intuitive.

My experience was almost the opposite.

Manual fabrication demanded an enormous number of design decisions.

They were simply made at a different scale and at different moments.

The general form might be decided beforehand, but thousands of smaller decisions emerged during construction.

How thick should this piece be?

How far should it project?

Should it continue the direction of the previous ridge or interrupt it?

Is this area visually too heavy?

Can the material support another layer yet?

Should this deformation be corrected or preserved?

Would additional pressure improve the texture or destroy it?

None of these decisions were individually dramatic.

But collectively, they became the work.

This made me think differently about authorship.

A digital model often presents design as a relatively complete object before fabrication begins.

Craft reveals design as a sequence of judgments distributed through time.

The finished artifact is not only the result of an idea.

It is also the record of those judgments.

The Hand as a Design Instrument

In architecture and computational design, we often think of instruments as devices that extend measurement.

Sensors measure temperature.

Software calculates solar exposure.

Simulation predicts environmental performance.

Fabrication machines translate geometry into material.

The hand is rarely described in the same language, but perhaps it should be.

The hand is also an instrument.

It measures conditions that are difficult to quantify quickly.

It detects softness, friction, resistance, weight, temperature, moisture, roughness, and structural instability.

But unlike a conventional measuring device, the hand can sense and act almost simultaneously.

I press the clay and immediately adjust the amount of pressure.

I feel resistance and change direction.

I support a piece before I have consciously articulated that it is about to collapse.

Sensing and designing become part of the same gesture.

This is perhaps one reason craft can feel so immediate.

There is very little distance between perception, judgment, and action.

The loop is extremely short.

And because that loop repeats hundreds or thousands of times, the final object contains a density of decisions that would be difficult to fully describe beforehand.

What Machines Do Better

None of this is an argument against machine fabrication.

That distinction matters to me because computational design and digital fabrication are also central to my practice.

Machines can produce extraordinary precision.

They can repeat complex operations without fatigue.

They can manufacture geometries that would be nearly impossible to construct manually.

They allow a designer to work with large systems, complex patterns, high-resolution variation, and controlled tolerances.

Digital fabrication is especially powerful when the goal is to translate a carefully developed system into material while maintaining consistency.

I do not think craft should compete with machines on those terms.

The hand does not need to become as precise as a robot.

The more interesting question is what kinds of knowledge and design processes become possible precisely because manual making is less predetermined.

Machines are exceptionally good at producing what has already been defined.

Craft is powerful because making can continue to redefine what the object should become.

Two Different Relationships with Uncertainty

Perhaps the deepest difference lies in how the two processes treat uncertainty.

In machine fabrication, uncertainty is often something we work hard to remove.

We calibrate machines.

We adjust tolerances.

We test material behavior.

We optimize settings.

We try to make the outcome predictable.

The more accurately we can anticipate the result, the more control we have over the process.

Craft does not necessarily reject control, but it can maintain a more productive relationship with uncertainty.

The maker does not need to know every detail of the final object before beginning.

Some decisions can remain unresolved until the material itself provides more information.

The design can remain open.

That openness allows discoveries to happen during fabrication rather than only before it.

For me, this was one of the most important lessons from making Loving Vincent.

I began the work with an intention, but I did not know exactly what the final surface would become.

And that incompleteness was not a weakness in the process.

It was what allowed the process to teach me something.

From Fabricating a Design to Discovering One

The phrase “digital fabrication” often implies that fabrication follows design.

But craft reminded me that fabrication can also generate design.

Sometimes you begin by making what you have imagined.

Then the material gives you something you did not imagine.

You respond.

The object changes.

Your intention changes with it.

A new idea appears that could not have existed before the physical process began.

This is the part of craft that I now find most difficult to replace.

It is not simply the uniqueness of the final artifact.

It is the uniqueness of the thinking process that produced it.

The object could perhaps be scanned.

Its geometry could potentially be reconstructed digitally.

A machine might eventually reproduce something visually very similar.

But reproducing the final geometry would not reproduce the sequence of learning that created it.

The replica would capture the outcome.

It would not recreate the conversation.

Craft as a Form of Material Research

This experience also made me think of craft as a form of research.

Not research in the sense of producing universal scientific knowledge, but as a way of generating situated understanding through repeated interaction.

Each act of making becomes a small experiment.

What happens if the clay is this wet?

How thin can this element become before it loses stability?

How long can it project from the surface?

When is the right moment to attach another layer?

How much pressure creates texture without destroying the underlying form?

The answers are not simply stored in notes.

They gradually become part of the maker’s intuition.

After enough repetition, you stop consciously asking some of these questions.

Your hands already know part of the answer.

That kind of knowledge is difficult to communicate because it is not entirely linguistic.

It exists partly in muscle memory, timing, and sensitivity.

But it strongly influences design.

A person who has worked with a material for years does not only know more about fabrication.

They often imagine differently because they understand, almost instinctively, what that material is capable of becoming.

What Craft Can Offer Digital Practice

The most valuable outcome of this project, for me, was therefore not a rejection of digital fabrication.

It was a reconsideration of how digital practice might learn from craft.

What if computational design systems were not only tools for defining form before fabrication?

What if they could become more responsive to information emerging during fabrication?

What if machines could incorporate feedback from changing material conditions rather than only following predetermined toolpaths?

What if design models remained intentionally incomplete, leaving certain decisions to be resolved through physical interaction?

These questions suggest that craft and digital fabrication do not have to exist as opposites.

The future may not lie in choosing between the hand and the machine.

It may lie in understanding what each mode of making teaches us about design.

Machines teach us how to control complexity.

Craft teaches us how to respond to it.

Machines allow us to materialize ideas with extraordinary accuracy.

Craft reminds us that materialization itself can produce ideas.

When Making Becomes Designing

After making Loving Vincent, I no longer think of craft simply as a way of producing objects without machines.

For me, its value lies somewhere deeper.

When working by hand, I am not simply executing a design.

I am learning what the material allows the design to become.

The difference is not that handmade work is inherently better, more authentic, or more artistic than machine-made work.

The difference is that the relationship between intention and outcome is structured differently.

In digital fabrication, we often attempt to preserve an idea through the process of making.

In craft, making can transform the idea itself.

And perhaps that is the quality that remains most difficult to replace.

A machine can reproduce geometry.

It can reproduce texture.

It can reproduce variation.

It may even reproduce the visible irregularities that we associate with handmade objects.

But the essential value of craft is not located only in those visible traces.

It exists in the continuous exchange between maker and material—the moment when resistance becomes information, when failure becomes a design decision, when touch produces understanding, and when an object begins to suggest possibilities that did not exist before it was physically made.

The finished work is therefore more than the realization of a predetermined design.

It is evidence of a process in which thinking and making were never completely separate.

And perhaps this is the most enduring lesson of craft:

sometimes we do not fully understand what we are designing until we begin to make it.