A designer writes UI copy in a Markdown file, edits it, then struggles to translate the text into visual style, relying on external inspiration tools and manual adjustments of paddings and buttons. The intermediate representation (the marked‑up copy) does not fully determine the final visual layout, so the producer must adjust paddings, buttons, and spacing by hand after consulting external sources. This pattern appears whenever a low‑cost proxy is created to guide the production of a more expensive artifact, but the proxy omits or distorts details that are essential to the final result, forcing the maker to intervene after the fact to bring the output into alignment.
In the case of the UI, the proxy is the textual copy marked up in Markdown. The designer treats the copy as a specification for the visual product, yet the Markdown file contains no information about typographic hierarchy, spacing, colour, or interactive behaviour. To obtain a satisfactory appearance the designer turns to an external inspiration service such as katagami.ai, extracts a visual prompt (the “Sumi prompt”), and applies it to the component. Even after this step the raw output usually requires manual tweaking of paddings, button sizes, and visual separation because the prompt only suggests a style direction; it does not encode the exact dimensions or the interaction states that the final interface must satisfy. The designer therefore spends effort on two distinct activities: first, shaping the proxy (editing the copy, selecting a prompt), and second, correcting the artifact (hand‑tuning CSS properties). The proxy is attractive because it is quick to produce and edit, but it is insufficient as a complete description of the target, so the work shifts to a corrective phase that cannot be avoided by improving the proxy alone.
The same structure recurs in other fields where practitioners rely on an intermediate representation that is cheap to generate but incomplete as a guide to the final product. In eighteenth‑century London furniture workshops, Thomas Chippendale’s *Director* provided engraved designs that cabinetmakers could copy onto paper or directly onto wood. The drawings gave the overall silhouette and ornamental motifs, but they did not specify the exact grain direction, the thickness of local reinforcements, or the precise fit of mortise‑and‑tenon joints required for a particular piece of timber. Consequently, after tracing the design the craftsman had to adjust the cut, plane excess material, and sometimes redesign joints to accommodate local variations in wood quality and humidity. The proxy (the engraved plate) saved time in laying out the basic shape, yet the final product demanded hand‑tuning of the physical details.
A comparable pattern appears in nineteenth‑century American house building. Asher Benjamin’s *The Country Builder’s Assistant* (1797) circulated measured drawings for modest dwellings. The plates showed floor‑plan layouts, window placements, and basic cornices, but they left open the exact height of studs, the angle of roof rafters, and the spacing of lath needed for plaster. Builders arriving at a site with uneven ground or non‑standard lumber had to modify the dimensions, cut additional studs, and sometimes redesign the roof pitch to satisfy local building practices and material availability. The proxy drawing reduced the effort of devising a novel plan from scratch, yet the realization still required on‑site adjustments that could not be predicted from the printed page.
In the preparation of medicines, the United States Pharmacopeia first issued in 1820 offered monographs that described the composition, purity, and testing procedures for drugs such as calomel or quinine. The monographs gave a recipe in terms of weight ratios and prescribed chemical tests, but they did not specify the exact particle size of the raw minerals, the temperature at which a precipitate should be filtered, or the humidity level that would affect crystal formation. Apothecaries therefore followed the written formula, then performed a series of tactile and visual checks — feeling the texture of a powder, observing the clarity of a solution — and adjusted grinding times, filtration speed, or drying conditions until the product satisfied the implicit quality criteria that the monograph could not capture fully. The written standard acted as a proxy that streamlined the initial weighing and mixing, yet the final potency depended on hand‑tuned sensory feedback.
Medieval guilds provide an earlier illustration. Goldsmiths in fourteenth‑century Florence were required to stamp their work with a guild mark that certified a minimum fineness of gold. The mark itself was a simple symbol punched into the metal; it conveyed no information about the distribution of alloying elements, the presence of microscopic voids, or the hardness achieved after annealing. To achieve a mark that would pass inspection, the smith had to melt the metal, add precise amounts of silver or copper, hammer the ingot to refine the grain structure, and then anneal and cool it under controlled conditions. The proxy mark reduced the certification step to a visible stamp, but attaining the necessary metallurgical properties demanded a series of hands‑on adjustments that were guided by experience rather than by the mark itself.
In the textile trade of the nineteenth century, Manchester merchants relied on sample books that displayed swatches of cotton, wool, and silk dyed in standard colours. The swippets gave a visual reference for hue and approximate texture, but they did not convey the exact thread count, the weight per yard, or the shrinkage that would occur after washing. When a retailer placed an order based on a swatch, the received bolt often differed in width or thickness, prompting the merchant to cut, re‑dye, or blend the fabric to match the sample’s appearance. The sample book served as a cheap proxy for communicating colour preferences, yet the final product required manual alteration to align with the buyer’s expectations.
A contemporary analogue appears in software engineering. Developers frequently import a pre‑built user‑interface component from a library such as Material‑UI or Ant Design. The component provides a functional baseline — buttons that respond to clicks, menus that open and close — but its visual design is governed by a set of default tokens for padding, border radius, and colour contrast. To achieve a brand‑specific look, the programmer writes overrides in a stylesheet, adjusting margin values, changing font weights, or adding media queries. The library component acts as an intermediate representation that handles interaction logic and layout scaffolding, yet the precise visual expression must be hand‑tuned through CSS modifications. The effort saved by reusing the component is offset by the time spent inspecting the rendered output and correcting deviations from the desired specification.
Across these examples the mechanism follows a repeatable sequence. First, an actor creates or adopts a representation that is inexpensive to produce, store, or transmit. This representation captures a subset of the attributes that define the target artifact — often the most salient or easily communicated ones — while omitting or simplifying others that are context‑dependent, material‑specific, or sensorially subtle. Second, the actor uses the representation as a guide for the initial stages of production, relying on it to reduce uncertainty and to coordinate effort. Third, because the representation does not fully determine the final state, the actor must engage in a corrective phase in which sensory feedback, trial‑and‑error, or expert judgment is employed to bring the artifact into conformity with an implicit or explicit standard. The corrective phase is unavoidable as long as the proxy remains incomplete; improving the proxy can reduce the amount of correction needed but cannot eliminate it unless the proxy becomes a complete description, which typically defeats the purpose of using a proxy in the first place.
The persistence of this pattern across centuries and domains indicates that it is not an artifact of any particular technology or fashion, but rather a consequence of the economics of information production. Producing a full specification of a complex artifact often requires gathering detailed, situational data that is costly to obtain, difficult to encode, or subject to rapid change. Actors therefore settle for a partial specification that can be generated quickly and shared easily, accepting the need for later adjustment as a trade‑off. The adjustment itself becomes a source of variability and potential error, because it depends on the skill and judgment of the individual performing the hand‑tuning, and it may introduce inconsistencies when multiple actors apply different corrective rules.
When the proxy is a textual or visual sketch, the hand‑tuning frequently takes the form of manual editing of low‑level parameters — paddings, margins, font sizes, material thicknesses, chemical concentrations — that are not directly expressed in the proxy. When the proxy is a procedural rule or a checklist, the correction often involves deviating from the rule to accommodate local constraints, a practice known as “work‑around” or “craftsmanship.” In either case, the gap between proxy and artifact creates a feedback loop where the actor’s effort is split between shaping the proxy and refining the output, and the quality of the final product becomes contingent on the actor’s ability to interpret and compensate for the proxy’s shortcomings.
Understanding this mechanism clarifies why attempts to eliminate “slop” in UI design by merely improving the copy‑writing workflow or by adopting richer design‑token systems often fall short: the root issue is not the quality of the proxy itself but the structural necessity of a hand‑tuning stage whenever the proxy is intentionally incomplete. Reducing slop therefore requires either enriching the proxy to cover more of the relevant decision space — at the cost of increased production effort — or accepting the hand‑tuning phase as an inevitable component of the design process and investing in tools that make the correction faster, more repeatable, and less dependent on individual expertise. The same reasoning applies to furniture making, house building, drug compounding, hallmark compliance, textile ordering, and software theming: the tension between a lean proxy and the need for manual adjustment is a structural feature of any workflow that separates specification from realization.