Direct answer: Make Sculptor output fit your design system by prompting with your spacing scale, component names, and brand constraints, then running every result through a review checklist before it reaches engineering — the tool won’t enforce your system for you.

Why do AI mockups drift from a design system?

Because the model generates plausible defaults, not your defaults. It’ll pick 16px padding and a blue that isn’t your blue. Left unchecked across twenty screens, that drift becomes a real cleanup project. The fix is front-loading constraints in the prompt and catching the rest in review.

What should I put in the prompt?

• Your spacing scale: “use an 8px grid.”
• Component names you already ship: “use our primary Button and Card components.”
• Brand tone: “notion-like density, minimal color, one accent.”
• Real constraints: “must fit in a 320px mobile column.”

It won’t obey everything, but constraints in the prompt shift the defaults closer to your system and cut review time.

How do I run a review pass?

Treat generated screens like a junior designer’s first draft — check hierarchy, spacing consistency, contrast, and whether interactive states are even implied. A five-minute checklist catches what the model hid: a disabled-state button, a text field with no label, a tap target under 44px.

How do I turn a mockup into components?

Don’t port the whole screen. Identify the few novel patterns, build those as real components, then reassemble the screen from your system plus those additions. This keeps the design system the source of truth and stops AI output from quietly forking it. Over time, the novel patterns shrink because the model has more of your vocabulary to reference.

Where’s the handoff to code?

Sculptor earns its keep at the first stage and again as a collaboration aid — a screenshot is easier to react to than a paragraph. Skipping the Figma step only works for very simple screens.

What’s the honest cost-benefit?

Used casually, it saves idea-communication time and nothing else. Used with system constraints plus a review gate, it compresses the draft-to-spec phase meaningfully. If your team has one designer and ten stakeholders asking for mockups, that compression is the whole value.

Key Takeaways

• Prompt with your spacing scale, component names, and brand tone to reduce drift.
• Run a five-minute checklist on every generated screen before handoff.
• Build only the novel patterns as components; reassemble from your system.
• Sculptor fits at the idea and spec stages — Figma still matters for precision.
• Value appears when system constraints and a review gate are in place.

Direct answer: Sculptor generates and edits UI mockups from natural-language prompts, producing component-based designs you can refine by chatting with the tool rather than dragging rectangles; it’s aimed at fast iteration before or instead of a full design file.

What makes it different from an image generator?

It outputs real UI components — buttons, inputs, cards — not a flat picture. That means the mockup respects spacing, hierarchy, and interaction patterns instead of hallucinating a pretty but unusable screen. You can ask it to “make the primary button bigger” and it changes that element, not the whole image.

How do I generate my first mockup?

1. Describe the screen and its purpose in a sentence or two.
2. List the key elements: a search bar, a result list, a filter panel.
3. Generate and review the layout.
4. Refine by chat: “Move the filter to a left sidebar, tighten the header.”

The first pass is rarely right, and that’s fine — iteration is the point. Two or three prompts usually gets a usable layout.

How do I get better results?

Describe the user’s job, not just the screen. “A dashboard for a support lead who needs to spot overdue tickets in under five seconds” gives the model a priority to design around. Naming a real product style — “like Linear’s issue list” — anchors density and tone faster than adjectives.

Can I hand the result to engineering?

That’s the promise, and it’s partly delivered. Component-based mockups communicate intent more clearly than a static image, so a developer has less to guess. But expect a translation step: a working implementation still needs real state, data, and accessibility work that a mockup doesn’t contain. Treat the output as a spec, not shippable code.

Where does it fall short?

Generated designs can feel generic — good enough to sketch, not distinctive enough to ship without a designer’s eye. Complex, data-dense screens (a full analytics dashboard) tend to come out shallow on the first try. And if your brand has a strict design system, you’ll spend real time pulling results toward it.

Who is Sculptor for?

Founders and PMs who need to communicate an interface idea without a designer on hand, and designers who want a fast first draft to react to. Not a replacement for design work on customer-facing polish.

Key Takeaways

• Sculptor generates component-based UI mockups from text prompts.
• Edit by chat — changes affect specific elements, not the whole image.
• Describe the user’s job and a reference product for tighter results.
• Treat output as a spec for developers, not production code.
• Expect generic first passes; complex dashboards need manual work.