Project
Build a Company Website with AI
The full path to a business website that holds together — plan the content, structure the site, design the components, write the page copy, then ship it as one coherent whole.
AI UI & Component Design Workflow
Structure a UI so it stays consistent as it grows — inventory the screens, break them into reusable components, specify the component system and its rules, then review the structure for drift.
The problem
A UI built screen by screen without a structure underneath becomes a pile of one-off components: three slightly different buttons, four card layouts, the same form rebuilt five ways. The inconsistency isn't a visual problem you can restyle away — it's structural, baked into how the interface was composed, and it makes every new screen slower and the whole product feel unreliable. Designing UI structure means the opposite discipline: inventory the screens, find the components they share, define a system with rules for reuse and consistency, before the duplication sets in. This is interface architecture, not visual design — the skeleton, not the paint.
Recommended workflow
Each step uses an existing NewPrompt tool, pre-filled by a matching resource. Open the resource to read it, or jump straight into the tool with the inputs ready.
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Inventory the screens and surfaces
Anchor the model in a front-end engineering perspective and list every screen and interface surface the product needs. You can't design a component system until you can see everything it has to cover.
Outcome The screens and interface surfaces inventoried. -
Break screens into reusable components
Decompose the screens into the components they share — the buttons, forms, cards, layouts that recur — so the same element is defined once and reused, not rebuilt slightly differently each time it appears.
Outcome Screens decomposed into a set of reusable components. -
Specify the component system and rules
Define the component system: each component's variants and states, how they compose into layouts, and the consistency rules that keep the interface coherent. This is the spec the build implements against.
Outcome A component system spec with composition and consistency rules. -
Review the structure for drift
Turn a review lens on the structure: duplicate components doing the same job, inconsistent patterns, screens that broke the system. Catch the drift in the plan, before it's a thousand lines of divergent UI code.
Outcome The UI structure reviewed for duplication and inconsistency.
Expected outcome
A UI with a structure under it — screens inventoried, reusable components identified, a component system specified with consistency rules, and the structure reviewed for drift — so the interface stays coherent as it grows instead of fragmenting into one-off screens nobody can keep consistent.
Best for
- Designing a reusable component system before building screens
- Bringing structure and consistency to a growing UI
- Breaking screens into components for implementation
Not for
- Visual design, branding, or graphic styling — this owns structure, not look
- Organizing a site's pages and navigation — use the AI Website Structure Workflow
- Designing software/system architecture — use the AI Project Architecture Workflow
FAQ
Is this visual or graphic design?
No. This owns UI structure — screen composition, the component system, reuse, and interface consistency. It decides how the interface is organized, not how it looks: colors, typography, and brand are a separate, later concern. It's interface architecture, the skeleton beneath the visuals.
AI UI component design vs website structure workflow — which do I use?
Use website structure for site-level information architecture — pages, sitemap, and navigation. Use this workflow for what's inside the pages: inventorying screens, breaking them into reusable components, and specifying the component system. One organizes the site; this organizes the interface within it. Run them side by side.
AI UI component design vs project architecture — interface or system?
Project architecture designs the system — services, data flow, and boundaries. This designs the interface: screen inventory, reusable components, and a component system spec. Same architect mindset, opposite end of the stack — the system's internals versus the front-end's reusable building blocks. Structure the interface here, the system there.
What does the AI UI component design workflow output?
A component system spec you take into the build: an inventory of every screen and surface, those screens decomposed into reusable components, and each component's variants, states, composition, and consistency rules — plus a drift review of the structure. NewPrompt supplies the prompts and step order; you run them and own the spec.
How to run the AI UI component design workflow
Work the four steps in order in your own AI tool: anchor it in a front-end perspective and inventory the screens, decompose them into shared components, specify the system's variants, states, and consistency rules, then review for drift. NewPrompt links the prompt, tool, and resource per step; you run each one.
How do I review the UI component structure for drift?
Step 4 turns a review lens on the plan before it becomes code: prompt the AI to flag duplicate components doing the same job, inconsistent patterns, and screens that broke the system. It surfaces the drift; you judge each finding and decide what to consolidate — the review structures the check, it doesn't approve the design.
Part of these projects
Complete build journeys that include this workflow as a stage.
Project
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Project
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Project
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The full path to a two-sided platform — define the buyer-and-seller requirements, model the data, design the API, build roles and permissions, wire integrations, design the UI, then test, secure, and ship it.
Project
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The full path to a CRM that fits your sales process — define the contacts, deals, and pipeline, model the data that ties them together, then build the roles, integrations, and pipeline UI, and ship.
Project
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The full path to a store you own end to end — model the catalog and orders, design the storefront and checkout, add customer accounts and payments, then secure it, test it, and ship.
Recommended next workflow
Workflow
AI Code Review Workflow
A complete AI-assisted review pass — not one prompt — that ends with ranked findings, tests guarding behavior, and a refactor plan when one is warranted.
Related workflows
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AI Website Structure Workflow
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