Next.js

Build a Contact Form with Next.js

A contact form with validation, captcha, and confirmation. Using Next.js's Next.js 14+ with App Router, SSR, and shadcn/ui, LoomCode AI generates a production-ready contact form with clean code structure, proper state management, and a polished user interface — all from a single text description in seconds. No prior coding experience required.

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How to Build a Contact Form with Next.js

1

Select Next.js

Open LoomCode AI and choose the Next.js template from the template picker.

2

Describe your app

Type a description of your contact form and click submit.

3

Preview & deploy

Watch the AI generate code and preview your working app live. Deploy with one click.

Why Build a Contact Form with Next.js

A contact form requires pixel-perfect design and smooth interactions — strengths of Next.js. shadcn/ui makes it easy to create responsive, polished layouts.

What the AI Generates for This Contact Form

  • Responsive contact form layout that adapts to desktop, tablet, and mobile
  • Component-based architecture with reusable UI elements
  • Client-side state management for instant user interactions
  • Styled with Tailwind CSS utility classes for a polished look
  • Responsive hero section with CTA buttons and social proof elements
  • Conversion-focused layout with above-the-fold value proposition for contact form

Example Prompt

Copy this prompt and paste it into LoomCode AI:

Build a contact form with name, email, subject dropdown, message textarea, file attachment, validation, and success message
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What You Get

LoomCode AI generates a contact form with a hero section, feature highlights, and call-to-action elements. The layout is responsive, the typography is polished, and interactive elements like form submissions are functional. The output is properly structured Next.js code using Next.js 14, TypeScript, Tailwind CSS, shadcn/ui with typed components, responsive styling, and clean state management. The app runs immediately in a live sandbox — interact with it, test every feature, then iterate with follow-up prompts or deploy to a shareable URL.

Tips for Better Results

  • Describe the page sections in order: "hero with headline and CTA, features grid with icons, testimonials, pricing table, footer with signup form"
  • Specify your color scheme or style preference — "clean and modern with blue accents" or "dark theme with gradient backgrounds"
  • Ask for responsive design explicitly — marketing pages must look polished on both desktop and mobile
  • Consider asking for responsive design explicitly if mobile support matters for your contact form

Tech Stack

Next.js 14(Stack)
TypeScript(Stack)
Tailwind CSS(Stack)
shadcn/ui(Stack)
Tailwind CSS(Styling)
E2B sandbox(Environment)

FAQ

Can AI build a Contact Form with Next.js?

Yes. LoomCode AI generates a complete contact form with Next.js 14, TypeScript, Tailwind CSS, shadcn/ui from a text description. The AI understands conversion-focused layouts, responsive design, and CTAs and produces working code that runs immediately in a live sandbox. Next.js's component architecture handles conversion-focused layouts, responsive design, and CTAs with reusable UI pieces and efficient state management. You can iterate with follow-up prompts to refine features or deploy with one click.

How long does it take to build a Contact Form with AI?

A working contact form typically generates in 30-60 seconds. The initial version includes conversion-focused layouts, responsive design, and CTAs with a polished UI. From there, you can add features incrementally — each follow-up prompt takes another 15-30 seconds. Most users go from idea to a deployable contact form in under 10 minutes, compared to hours or days of manual development.

Can I customize the generated Contact Form?

Yes, in two ways. First, use natural language follow-up prompts: "add dark mode", "change the layout to tabs", or "add a search filter" — the AI modifies the existing code. Second, copy the full source code and edit it directly. The output is standard Next.js code using Next.js 14 and TypeScript that works in any React/Vue/Next.js project.

Which AI model works best for a Contact Form?

For a contact form, GPT-4o offers the best speed-to-quality balance for quick iterations. Claude 3.5 Sonnet produces more polished code for complex features. DeepSeek V3 is a cost-effective alternative for simpler versions. You can switch models anytime.

Is the generated contact form production-ready?

For prototypes and MVPs, the generated contact form is typically ready to use immediately. The code includes proper TypeScript types, component structure, and responsive design. For production deployment at scale, you may want to add automated tests, error boundaries, and monitoring.

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