Section of the AI Chat App Coding Template

New Chat Flow Section

New chat entry screen shown when the user clicks New chat. Large centered heading, prominent composer, and a grid of 6 categorised prompt suggestions.

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Or build this section with a prompt

Paste the prompt into your AI coding tool. Each version is scoped to just this section, part of the AI Chat App Coding Template.

Build the New Chat Flow section for a Next.js 14+ AI chat app in Cursor. Design system: white background (#FFFFFF), black text on white, muted grey (#6B7280) for secondary text, brand blue (#2B65F6) reserved for primary CTAs only, Switzer font, font-medium max (never bold), 12-14px body copy, 16-20px headings, minimal line icons only. Layout: a centered vertical stack in the main chat area: a large heading "What would you like to work on?" (24-28px, font-medium), a prominent composer below (rounded xl border, growing textarea, brand-blue send button), a small "Suggestions" label, then a 2-column grid of 6 suggestion cards (each with a label and a small category tag underneath). Clicking a suggestion pre-fills the composer. Ship as a single .tsx file using only Tailwind classes and native React state. No motion library required. This section belongs to the AI chat app template family; reference the shared layout (left sidebar nav + top bar) but do not duplicate it here.

How to use this New Chat Flow Section as a prompt

  1. Paste the prompt into Claude Code, Cursor, or Lovable to build the new-chat entry view as the /chat/new or /chat root of a Next.js AI chat app.
  2. Best as the landing state when a user clicks New chat, or the app root before any conversation exists.
  3. Ask Codex or Lovable to wire the suggestion grid to a categorised prompt library, or personalise by user role (developer, marketer, writer).

How to use this New Chat Flow Section as code

  1. Drop the React + Tailwind file into `components/NewChatEntry.tsx` and pass an onSubmit handler that starts a new conversation.
  2. Suggestions are a plain array with label + category. Extend to fetch from your prompt library.
  3. Compatible with Vercel AI SDK v6 useChat (pass the pre-filled prompt via `setInput`, then call `handleSubmit`).

Other sections in the AI Chat App Coding Template

More sections you can compose alongside the New Chat Flow Section. Each ships with matching prompts for Claude Code, Cursor, Codex, Lovable, Replit, and Google Stitch.

FAQ

How do I build a new-chat entry screen with prompt suggestions?+

Copy the prompt on this page into Claude Code, Cursor, Lovable, Codex, Replit, or Google Stitch. The generated `NewChatEntry` component ships a centered heading ("What would you like to work on?"), a large composer, and a 2-column grid of 6 categorised prompt suggestions (Writing, Learn, Code, Ideation, Research). Clicking a suggestion pre-fills the composer.

Should the new-chat screen personalise suggestions per user role?+

Yes if you have role data. A developer sees "Debug this code" and "Explain this concept"; a marketer sees "Draft an email" and "Rewrite this landing page hero". Store role in Supabase user metadata and filter the `PROMPT_SUGGESTIONS` array on render.

Can I use these templates and sections copyright-free in my website or app?+

Yes. Every template, section, code file, and included image is free to use in your website, app, client project, SaaS product, or open-source build with no attribution required. There is no license fee, no royalty, and no copyright restriction. The code is yours to keep, modify, and ship commercially the moment you copy it.

What do I get on each template page?+

A visual preview of the template, the full multi-file source code as a single copy-paste string with `// === filename ===` headers so Cursor and Claude Code can split it into the correct files automatically, and the prompt that regenerates the template in Claude Code, Cursor, Codex, Lovable, Replit, or Google Stitch. Every template ships with the shared design system used across the AI Library: white background, black on grey typography, brand blue reserved for primary CTAs, small type, minimal icons.

What is the difference between a template and a component?+

A component is a single UI unit (a chat interface, a bento grid, a scroll progress bar). A template is a full app made up of many components: routes, layout, navigation, data flow, and interactions wired together. The AI Library ships both. Templates live under /prompts/ai-library/templates. Components live under /prompts/ai-library/website-sections. Templates use components under the hood, and every template page cross-links to the AI Library components used inside its sections.

Are the templates licensed for commercial use?+

Yes. Every template can be copied, adapted, sold, and shipped in commercial projects with no attribution required. This applies to the full-app parent code and every child section. The AI prompts are also unrestricted. Use them for client work, indie SaaS, agency deliverables, internal tools, and open-source projects.

What technology stack do these templates use?+

Every template is built on Next.js 14+ App Router + Tailwind CSS v3 + Switzer font, and written in TypeScript. Backend choices are yours: templates work with Supabase, Clerk, or Auth.js for authentication, and with Postgres, Convex, PlanetScale, or Neon for data. Templates deploy on Vercel, Cloudflare Pages, or Netlify. No motion library is required. No CSS files are used; all styling is Tailwind utility classes.

How do I use a template with Cursor or Claude Code?+

Open the template page, click Copy full code, and paste it directly into a Cursor or Claude Code chat. Cursor and Claude Code both detect the `// === filename ===` headers and split the paste into the correct files in your project. From there you can ask them to swap the auth provider, change the color palette, wire the data to your API, or generate the missing routes. The prompt tab gives you the exact starting instruction to hand off.

Do the templates work with my auth provider and database?+

Yes. Auth is wrapped behind a `src/lib/auth.ts` helper so you can swap Supabase, Clerk, Auth.js, or your own SSO by changing one file. The same pattern applies to the database client: swap Supabase for Postgres, Convex, PlanetScale, or Neon without changing the UI. Every template ships a Supabase reference implementation by default because it is the most common choice for AI-native SaaS.

Do templates include TypeScript, dark mode, and responsive design?+

Yes to TypeScript across every file (typed props, typed data models, typed helpers). Dark mode is opt-in via Tailwind's `dark:` variant — the base color palette is defined for both light and dark and every section renders correctly in both. Every section is responsive from 375px up to desktop, with sensible breakpoints for tablet (sm: 640px, md: 768px, lg: 1024px).

Can I combine sections from multiple templates?+

Yes. Every child section is a standalone page and standalone code file. Copy the Users Table section from the SaaS Dashboard template into an Admin Panel template and it works with no modification, because they share the same design system, typography, spacing scale, and layout primitives. The prompt tab for each section is scoped to that section so an AI tool can build just what you need.

Why include a prompt if the code is already here?+

Three reasons. First, the prompt regenerates the template in your own codebase matched to your design tokens, brand color, file structure, and preferred auth or database — faster than editing someone else's code. Second, the prompt is a starting instruction you can extend ("build this dashboard but replace analytics with a Kanban board") instead of a fixed snapshot. Third, each prompt is written specifically for the tool it targets: Claude Code, Cursor, Codex, Lovable, Replit, or Google Stitch. The output is consistent because the design constraints are the same across all six versions.

Which AI coding tool is best for these templates?+

All six prompts produce the same visual output. Cursor and Claude Code are best for dropping full multi-file code into an existing repo where you want the AI to manage imports, run type checks, and iterate. Lovable and Replit are best if you want a fresh working preview URL in seconds without setting up a local dev environment. Codex fits agent-driven workflows where you want the AI to work autonomously across multiple files. Google Stitch is best if you want to iterate on the design visually in Google Labs before dropping the generated React code into your project.

Can I customize the design system for my brand?+

Yes. The design system is Tailwind-native: change the brand color in `tailwind.config.ts` and every primary CTA updates. Change the font in `next/font` and every heading and body copy updates. Change the border-radius in the shared component variants and every card, button, and modal updates. Because the templates lean minimal (white background, black text, blue only on CTAs) they adapt easily to any brand system without visual conflict.