Best for
Non-technical founders who want a polished chat UI scaffold to drop an AI backend into
Stack
A ready-made AI Chat Interface UI you can fork, run, and customize with the prompt pack below.
What's actually inside
The honest engineer's breakdown — what the AI Chat Interfacetemplate does, how it's wired, and where it's opinionated.
The AI Chat Interface template is the cleanest chat UI scaffold in the V0 community for founders who want to test an AI idea without wiring a chatbot from scratch. The ChatShell establishes the full-height page structure with a collapsible sidebar on the left and the main chat area on the right. MessageList renders the conversation using a shadcn/ui ScrollArea, and each MessageItem displays an avatar, message bubble with timestamp, and adjusts alignment for user vs assistant messages.
Two UX details separate this template from minimal chat demos: SuggestionChips appear in the empty state and inject starter prompts into the InputBar with a single click — dramatically reducing the intimidating blank screen when users first open the chat. The TypingIndicator shows an animated three-dot loader in the assistant's message position while the AI processes, setting the right expectation during the wait.
The honest caveats: MessageList does not auto-scroll to the latest message by default when AI responses are appended — this is the most common gotcha and the first fix in the gotchas section below. Also, SuggestionChips use local state to track whether the conversation has started; if the page remounts (e.g., on route change), the chips reappear even mid-conversation. The sessionStorage fix below resolves this. The template also ships without a real AI backend wired — the AI SDK v6 useChat hook is in place, but the /api/chat route handler is a placeholder stub that needs to be wired to your actual AI model.
Key UI components
ChatShellFull-height layout with sidebar and main area — provides the overall page structure
MessageListVirtualized list of chat messages — renders conversation without performance degradation
MessageItemIndividual bubble with avatar, content, and timestamp — the visual unit of each message
InputBarFixed-bottom input with attachment placeholder and send button — message composition
SuggestionChipsStarter prompt suggestions shown before first message — reduces blank-screen friction
TypingIndicatorAnimated three-dot loader during AI response — communicates processing state
Libraries it leans on
AI SDK v6useChat hook drives MessageList streaming and wires InputBar submit to the AI route handler
shadcn/uiAvatar in MessageItem, ScrollArea in MessageList, Button in InputBar and SuggestionChips
clsxApplies conditional classes in MessageItem for user vs assistant bubble alignment and colors
Fork it and get it running
This is the easiest template in the AI & Chat category to fork — the entire customization flow lives in V0's Design Mode and chat without writing code.
Open the template and fork it
Go to https://v0.dev/chat/community/6VLiqkGu5vw. The live preview shows the full chat interface with SuggestionChips in the empty state. Click the Fork button in the top-right of the preview panel to create your own copy in a new V0 chat session.
Tip: The preview is interactive — try clicking a SuggestionChip to see how it populates the InputBar before you start customizing.
You should see: A new V0 chat session opens with the AI Chat Interface codebase and the live chat UI in the preview.
Add your OpenAI API key
Click the Vars panel icon in the left sidebar. Add a variable named OPENAI_API_KEY with your secret key from platform.openai.com — no NEXT_PUBLIC_ prefix, as this must stay server-side. The useChat hook in MessageList sends messages through a /api/chat route handler that reads this key on the server.
Tip: If you plan to swap in a different AI provider later, the route handler in app/api/chat/route.ts is the only file you need to touch.
You should see: OPENAI_API_KEY is set in Vars and the preview can make live AI calls when a message is submitted.
Test the chat in preview
Type a message in the InputBar and press Enter. The TypingIndicator (three-dot animation) should appear while the AI processes, then a new MessageItem with an assistant avatar and streamed response should populate in MessageList. Try clicking a SuggestionChip first to see the pre-fill behavior.
Tip: If the TypingIndicator never disappears, the API call may be failing — check that OPENAI_API_KEY is correct in Vars.
You should see: TypingIndicator appears, then a streamed AI response populates as a new MessageItem in MessageList.
Customize SuggestionChips and bot name with Design Mode
Press Option+D (Mac) or Alt+D (Windows) to enter Design Mode. Click any SuggestionChip label to edit the text directly — replace placeholder chips with your product-specific starter prompts. Also click the bot name above the first MessageItem to change it from the default to your AI's name. Design Mode edits are free and do not consume V0 credits.
Tip: Update four chips maximum — research shows users rarely read past the third option in suggestion arrays.
You should see: The chat interface shows your brand name and product-specific suggestion chips.
Publish to production
Click Share in the top-right corner, open the Publish tab, and click 'Publish to Production'. Deployment finishes in 30–60 seconds and returns a live Vercel URL. After publishing, open Vercel Dashboard → the project → Settings → Environment Variables and add OPENAI_API_KEY for the Production scope — the Vars panel only covers the Preview environment.
Tip: Re-adding the key in Vercel Dashboard is required for production; do not skip this step.
You should see: A live public URL where the full chat interface works with real AI responses.
Add a custom domain (optional)
In Vercel Dashboard, find the deployed project, go to Settings → Domains → Add, and enter your custom domain. Vercel provides the DNS records to configure at your registrar and provisions SSL automatically within minutes.
You should see: The chat interface is accessible at your branded domain with HTTPS.
The prompt pack
Copy-paste these straight into v0's chat to customize the AI Chat Interfacetemplate. Each one names this template's own components — no generic filler.
Replace SuggestionChips with your use-case prompts
Replaces generic starter prompts with product-specific ones that guide users toward the most valuable conversations for your use case.
Replace the SuggestionChips content with these 4 prompts specific to our product: [paste your 4 starter prompts here]. Update each chip's label (the short displayed text) and the full prompt text that gets injected into InputBar when the chip is clicked. Keep the existing chip styling and the click handler that populates InputBar — just swap the data.
Add avatar and bot name to assistant MessageItems
Gives the chat interface a polished branded identity by adding a named AI persona and user avatar to every MessageItem.
In MessageItem, for all assistant messages show a bot avatar using a circular placeholder SVG icon (a simple robot or chat bubble icon) and display the name 'Aria' above the bubble in small muted text. For user messages, show the user's initials (default to 'U') in a colored circle in the avatar slot. Match the existing MessageList styling and ensure both variants align consistently in the ChatShell main area.
Wire a real AI backend via route handler
Wires the chat UI to a real AI backend — replacing the stub route handler so MessageList actually receives streamed responses from OpenAI.
Create the file app/api/chat/route.ts that imports streamText from @ai-sdk/openai and reads the OPENAI_API_KEY server-side env var. The route handler should accept a POST request with a messages array from the useChat hook, call streamText with model 'gpt-4o-mini' and a system prompt 'You are a helpful assistant', and return the stream using toDataStreamResponse(). In the MessageList component, ensure the useChat hook has api: '/api/chat' set.
Add message search to the ChatShell sidebar
Lets users find specific information from long conversations by searching across all MessageItems in the current session.
Add a search icon button to the ChatShell sidebar. On click, expand a search input field above the sidebar list. As the user types, filter MessageList to show only MessageItems whose content contains the search term (case-insensitive). Highlight the matching text within each matching MessageItem using a yellow background span. Add an X button to clear the filter and return to the full MessageList. Implement this with client-side state — no page reload or route change.
Add Supabase message persistence with session loading
Gives the chat interface persistent memory within a session — users can close and reopen the tab and find their conversation still in MessageList.
Create a Supabase table named 'messages' with columns: id (uuid, primary key, default gen_random_uuid()), session_id (text), role (text), content (text), created_at (timestamptz, default now()). In the useChat onFinish callback, call a server action that inserts the completed message into Supabase using SUPABASE_SERVICE_ROLE_KEY. On page load, generate or retrieve a session_id from sessionStorage. Fetch the last 50 messages for that session_id from Supabase via a server action and pass them as initialMessages to useChat so MessageList pre-populates with the previous conversation. Add SUPABASE_URL and SUPABASE_SERVICE_ROLE_KEY to the Vars panel.
Gotchas when you extend it
The failures people actually hit when they push this template past its defaults — and the exact fix for each.
MessageList doesn't auto-scroll to the latest message after AI response — scroll position stays at the topWhy: The shadcn/ui ScrollArea in MessageList does not automatically scroll when new MessageItems are appended. The scroll container's position stays wherever it was before the new message arrived.
Fix: Add a useEffect that fires when the messages array changes and calls scrollRef.current?.scrollIntoView({ behavior: 'smooth' }) on the last MessageItem.
Add a useEffect in MessageList: useEffect(() => { scrollRef.current?.scrollIntoView({ behavior: 'smooth' }) }, [messages]) where scrollRef is attached to the last MessageItemSuggestionChips reappear after first message when the page re-renders or the user navigates away and backWhy: Chip visibility is tracked in local React state (useState). When the ChatShell component unmounts and remounts — which happens on route changes or page refreshes — the state resets to its initial value, causing chips to reappear mid-conversation.
Fix: Track the hasStartedChat flag in sessionStorage instead of useState so it persists across component unmounts within the same browser tab.
Store the hasStartedChat flag in sessionStorage so SuggestionChips stay hidden after the first message even if the page re-renders
warn: incorrect peer dependency 'react@19.0.0' in build logs — AI SDK v6 peer dep mismatchWhy: Some AI SDK v6 packages declare peer dependencies against React 19 while the project is running React 18. This is a warning, not an error, but it can confuse debugging.
Fix: This warning does not break the build. Suppress it by adding a resolutions override in package.json to pin React 18 explicitly.
Add resolutions: { 'react': '18.3.1' } to package.json to pin React 18 and suppress the peer dependency warningTemplate vs. custom — the honest call
A forked template gets you far, fast. Here's where it holds up, and where you'll outgrow it.
The template is enough when
- You need a clean chat UI shell working in a day without wiring it from scratch
- The default shadcn/ui aesthetic fits your brand with minor color tweaks in Design Mode
- You are building an MVP to test user engagement with an AI feature before committing to a full build
- You plan to use V0's Design Mode to style the interface before writing any backend logic
Go custom when
- You need real-time multi-user chat with presence indicators showing who else is typing
- You require audio or video message support, file attachments, or image inline rendering
- The single-column ChatShell layout does not match a multi-panel product design with side-by-side content
- You need enterprise RBAC, per-conversation access control, or full conversation audit logging
RapidDev can wire this clean UI to any AI backend, add Supabase message history, and deploy with production auth in days, not weeks.
Frequently asked questions
Is this V0 community template free to use?
Yes. V0 community templates are free to fork for any V0 account. You will need an OpenAI API key for AI responses (charged per token by OpenAI) and a Vercel account for deployment (free tier available). No fee is attached to the template itself.
Can I use this template commercially?
Yes. V0 community templates carry no commercial-use restrictions. You own the forked code and can deploy it as a product, charge users for access, or include it in a client deliverable. If you build a subscription product, the Supabase persistence prompt from the pack is a good starting point before adding Stripe billing.
Why does my fork break in V0 preview after I wire the AI backend?
Two common causes: first, if you add a library that esm.sh cannot resolve (common with some AI SDK provider sub-packages), the preview will show a module import error — test those integrations after deploying to Vercel. Second, if OPENAI_API_KEY is missing or set with a NEXT_PUBLIC_ prefix, the server-side route handler cannot read it. Keep it server-only (no NEXT_PUBLIC_ prefix) in the Vars panel.
How do I connect a real AI model to the template?
Use the 'Wire a real AI backend via route handler' prompt from the pack above. It generates the complete app/api/chat/route.ts file with streamText from @ai-sdk/openai, reads OPENAI_API_KEY server-side, and returns a proper streaming response. Paste the prompt into your V0 chat and verify the response stream in the preview.
The chat scrolls to the top after every AI response — how do I fix this?
This is the most common pain point with this template. MessageList's shadcn/ui ScrollArea does not auto-scroll when messages are appended. Add a useEffect that watches the messages array and calls scrollRef.current?.scrollIntoView({ behavior: 'smooth' }) on the last MessageItem. The fix_prompt in the gotchas section above is copy-paste ready.
Can I swap OpenAI for a different AI model?
Yes. The AI SDK v6 interface is provider-agnostic — swap @ai-sdk/openai for @ai-sdk/anthropic, @ai-sdk/google, or any other provider in the route handler. Do this after deploying to Vercel production, not in V0 preview, since the preview sandbox has trouble resolving some provider sub-packages via esm.sh.
Can RapidDev customize this chat interface for my product?
Yes. RapidDev wires V0 chat UI templates to any AI backend, adds Supabase message persistence, and ships production auth with Clerk — typically in a few days. Contact us when you are ready to move from MVP to production.
Outgrowing the template?
RapidDev turns v0 prototypes into production apps — real auth, database, and payments — at $13K–$25K.
Book a free consultation30-min call. No commitment.