How to Build a Full Website Using AI and Deploy It for Free (Step-by-Step Guide)
A complete, no-fluff workflow to design a prompt, generate a full working website with Claude AI, handle free-tier limits, and deploy it for free on Vercel or Cloudflare Pages.

Building a complete website — frontend, backend, database, and admin dashboard — used to take weeks. With AI coding tools, you can generate a fully working project from a single, well-written prompt, then deploy it for free. This guide walks through the exact process, from idea to a live website with a custom domain.
Step 1: Decide the Website’s Idea and Logic First
Before writing any prompt, think through the website itself:
- What is the website for? (e.g., an e-commerce store, a portfolio, a SaaS tool, a booking system)
- What are the core features it must have?
- What does the user-facing side do, and what does the admin side need to control?
- What database and framework do you want it built on?
Skipping this step is the #1 reason AI-generated projects come out incomplete — the AI can only build what you clearly describe.
Step 2: Ask ChatGPT to Write the Prompt For You
Don’t write the full engineering prompt yourself — you don’t need to. Go to ChatGPT (or any AI chat tool) and describe your website in plain, everyday language, then ask it to turn that into a proper prompt. Type something like this:
“Write a prompt for: I want to build an E-commerce platform. My requirements are — users can browse products by category, add items to a cart, and check out; there’s a login/signup system; there’s an admin dashboard where I can add/edit/delete products and see all orders; use Next.js for the frontend and backend, and Supabase as the database. Also make sure it’s secure and has all the necessary features a real e-commerce site needs. Write this as a complete, detailed prompt I can use to generate the actual project.”
Just list out whatever you want in your own words — features, framework, database, anything specific you already know you need. ChatGPT’s job at this stage is to convert your rough requirements into a properly structured, detailed prompt, not to build the site yet.
Step 3: Review the Prompt and Ask for Changes
ChatGPT will hand you back a full prompt. Before using it anywhere:
- Read through it and check if the logic matches what you actually want.
- If something is missing or you want to import/add specific logic (a particular feature, library, or flow), don’t rewrite the prompt yourself — just tell ChatGPT in plain words, e.g., “Update the prompt: also add a wishlist feature and make the checkout support guest users.”
- ChatGPT will give you the updated prompt. Read it again.
- Repeat this back-and-forth until every feature you want is listed and the logic makes sense to you.
- Once you’re satisfied, this is your final prompt — copy it.
Example of a Complete, Production-Ready Prompt
Here is the kind of detailed prompt ChatGPT should hand back to you after this back-and-forth (using an e-commerce site as the example):
Build a fully working, production-ready e-commerce website using Next.js
(App Router) for the frontend/backend and Supabase as the database and
authentication provider.
Core logic and features:
- Product catalog with categories, search, filters, and pagination
- Product detail pages with images, price, stock status, and variants
- Cart and checkout flow (guest checkout + logged-in checkout)
- User authentication (signup/login/password reset) via Supabase Auth
- Order history and order status tracking for each user
- Payment integration placeholder (Stripe-ready structure)
- Wishlist / save-for-later feature
- Product reviews and ratings
- Email notifications for order confirmation (structure ready for an
email provider)
Admin dashboard (separate protected route, admin-only access):
- Secure admin login, separate role from normal users (role-based access
control enforced at the database level with Supabase Row Level Security,
not just on the frontend)
- Manage products (add/edit/delete, stock, images, categories)
- Manage orders (view, update status, refund flag)
- Manage users (view, disable account, assign admin role)
- Basic sales analytics (orders per day, revenue, top products)
- Activity log for admin actions
Security requirements:
- Supabase Row Level Security enabled on every table
- Server-side validation on all forms and API routes, not just client-side
- Passwords and sessions handled only through Supabase Auth (no custom
password storage)
- Rate limiting on login and checkout API routes
- Environment variables used for all keys — none hardcoded
Structure and delivery:
- Clean folder structure, reusable components, and clear comments in
complex logic sections
- Include a .env.example file listing every required environment variable
- Include a README with setup steps to run the project locally
- After the core build, list what future features could be added
(e.g., discount codes, multi-currency, subscription products) so the
project can be extended later
A prompt this detailed leaves far less room for the AI to guess — which is exactly why Step 3 (refining before generating) matters.
Step 4: Create a New Project and Paste the Prompt
- Go to your AI tool (e.g., Claude.ai) and start a new project, named after your website.
- Paste your final, reviewed prompt into the chat.
- If you already have brand assets — a logo, specific images, or a color palette — upload them in the same message so the AI uses them instead of placeholders.
- Send the prompt. The AI may ask a few clarifying questions (e.g., “which payment gateway?” or “any specific color theme?”) — answer them directly so the build matches what you actually want.
Step 5: Handle Free-Plan Usage Limits Correctly
Free plans on AI tools cap how much you can generate before a cooldown kicks in. For a large project like a full e-commerce site, you will likely hit this limit more than once. When that happens:
- Do not click “restart” or type “start” again — this can cause the AI to begin the project from scratch.
- Simply wait for the limit to reset, then reply with “continue”.
- The AI will resume the build exactly where it stopped.
- For a large project, expect to repeat this “continue” step several times until the full build is finished.
Step 6: Download and Set Up the Project Locally
Once the AI finishes, it will give you the project as a downloadable zip file (or file-by-file, depending on the tool).
- Download the zip and extract it to a folder on your PC.
- Open the folder in your code editor (e.g., VS Code).
- Install dependencies:
npm install - Create your
.envfile using the.env.examplefile as a reference, and fill in your real Supabase URL/keys. - Run the project locally:
npm run dev - Test every feature yourself: signup/login, browsing products, cart, checkout flow, and the admin dashboard. Confirm the admin route is actually protected and a normal user can’t access it.
- If something isn’t working, go back to the AI chat, describe the exact bug, and ask it to fix that specific part — you don’t need to regenerate the whole project.
Step 7: Go Back to ChatGPT for a Bug-Fix and Security-Check Prompt
Even after local testing looks fine, don’t skip this — it catches things a quick manual test usually misses, especially around authentication and payments. Go back to the same ChatGPT chat you used earlier and ask it to write a follow-up prompt, the same way as before:
“Write a prompt for: fix all errors and problems, and find all vulnerabilities in authentication, payment gateway, and other sensitive areas of my website.”
ChatGPT will hand you back a ready-to-use prompt built specifically for a full bug and security audit of what’s already been built.
Step 8: Paste the Fix Prompt Into the Same Claude.ai Project
- Go back into the same Claude.ai project you used to build the site — not a new one, so it has the full context of your existing code.
- Paste the prompt from Step 7 and send it.
- Claude will re-check the entire project: authentication flow, payment gateway integration, admin routes, forms, and API endpoints — and fix any bugs, missing validation, or security holes it finds.
- If it hits the free-plan usage limit again, follow the same rule from Step 5 — wait, then reply “continue”.
- Once it’s done, download the updated project again and repeat Step 6 (local setup and testing) to confirm everything still works and nothing broke.
- If you find anything else — a bug or a feature not behaving right — go back to ChatGPT for another fix-prompt, paste it into Claude.ai, and repeat this loop until you’re fully satisfied. Only move to the next step once local testing passes clean.
A Few Extra Security Tips Worth Checking Yourself
An AI fix-pass helps a lot, but double-check these yourself before going live:
- Confirm admin routes are protected on the server side (middleware/RLS), not just hidden by frontend UI — a hidden link is not real security.
- Never store real payment card details yourself; use a proper payment gateway (Stripe, Razorpay, etc.) so sensitive card data never touches your own database.
- Make sure every API route validates and sanitizes input on the server, even if the frontend already validates it.
- Use HTTPS everywhere (Vercel/Cloudflare provide this free by default).
- Keep all secrets in environment variables, and use different Supabase keys/projects for development and production if possible.
- Enable rate limiting on login and checkout endpoints to slow down brute-force attempts.
- Turn on two-factor authentication on your own GitHub, Vercel/Cloudflare, and Supabase accounts — the platforms can be secure, but a compromised account bypasses all of it.
Step 9: Push the Code to GitHub
- Before your first commit, add a
.gitignorefile (most AI-generated Next.js projects include one) and make sure.envis listed inside it — never push real API keys or database secrets. - Initialize and push:
git init git add . git commit -m "Initial commit - AI generated e-commerce site" git branch -M main git remote add origin https://github.com/your-username/your-repo.git git push -u origin main - Double-check on GitHub that no
.envfile or secret key was uploaded.
Step 10: Deploy for Free
You have two solid free options:
- Vercel — the simplest option for Next.js projects (built by the same team). Import your GitHub repo directly, add your environment variables (from your
.env) in the Vercel project settings, and deploy. - Cloudflare Pages — a strong free alternative with a fast global CDN. Connect your GitHub repo, set the build command and output directory, add the same environment variables, and deploy.
Either way, the flow is: connect GitHub repo → add environment variables → deploy. Your site goes live on a free subdomain (e.g., yourproject.vercel.app).
Step 11: Connect a Custom Domain (Optional)
If you bought a domain from GoDaddy (or any registrar):
- In your Vercel/Cloudflare Pages project, go to Domains and add your custom domain.
- The platform will show you the exact DNS records to add (usually a CNAME record, or nameservers to switch).
- Go to your GoDaddy DNS settings and add those exact records.
- Wait for DNS propagation (usually a few minutes to a few hours), and your custom domain will point to your deployed site.
Step 12: Updating the Website Later
When you want to add a new feature or fix something:
- Make the change locally (either by editing the code yourself or asking the AI to update a specific part).
- Test it locally with
npm run dev. - Commit and push the change to GitHub:
git add . git commit -m "Describe your update" git push - Vercel/Cloudflare Pages will automatically redeploy the new version — no manual redeploy step needed once your repo is connected.
Quick Recap
- Decide the website’s purpose and core logic.
- Ask ChatGPT to write the prompt from your raw requirements.
- Review the prompt with ChatGPT and refine it until it’s complete.
- Create a project on Claude.ai, paste the final prompt, attach any assets.
- If you hit the free-plan limit, wait and reply “continue” — never “restart.”
- Download the project and test it locally.
- Ask ChatGPT for a bug-fix and security-audit prompt.
- Paste it into the same Claude.ai project, let it fix everything, then re-test locally.
- Push to GitHub with
.envexcluded. - Deploy free on Vercel or Cloudflare Pages.
- Connect a custom domain if you have one.
- For future updates, edit locally, push to GitHub — deployment updates automatically.
Frequently asked questions
Is it really possible to build a full website using only AI, for free?
Yes. You can design the prompt, generate the full codebase with an AI chat tool's free plan, run it locally, and deploy it for free on platforms like Vercel or Cloudflare Pages. The only cost is a domain name if you want one instead of the free subdomain.
What happens when I hit the free plan's usage limit while the AI is building my site?
The AI stops mid-build and asks you to wait until the limit resets. When it resets, do not say 'start' or 'restart' — that can make it begin the project over. Just reply with 'continue' and it will resume exactly where it left off.
Which AI tool should I use to generate the code?
Any capable AI coding assistant with a project/artifact workspace works, such as Claude.ai. The workflow in this guide (idea → prompt → refine → generate → download → deploy) applies to any of them.
Do I need to know how to code to use this method?
No, but knowing the basics of running a project locally (Node.js, npm, terminal commands) and using Git/GitHub makes the process much smoother and helps you understand what the AI built.
Is it safe to push my project to GitHub after AI builds it?
Yes, as long as you never push your .env file or any API keys/database secrets. Always add .env to .gitignore before your first commit.
Which is better for free hosting: Vercel or Cloudflare Pages?
Both are free and reliable. Vercel has the smoothest experience for Next.js projects since it's built by the same team. Cloudflare Pages is a strong alternative with a generous free tier and fast global CDN. Pick either for a static or Next.js site.
Can I connect a custom domain from GoDaddy to my free-hosted site?
Yes. You buy the domain on GoDaddy, then point its DNS records (usually a CNAME or the nameservers) to your hosting provider (Vercel/Cloudflare). Both platforms give you the exact records to add once you enter your domain in their dashboard.
Why do I need a separate bug-fix and security-check step after local testing already passed?
Manual testing only catches what you think to click on. A dedicated fix-and-audit prompt asks the AI to specifically re-check sensitive areas like authentication and payment gateway logic for bugs and vulnerabilities you might not have tested yourself, before the site goes live.
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Founder & Editor
Writer and editor at Blog, focused on making programming, web development, and AI genuinely understandable.
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