Executive Blueprint
AI models like Gemini 2.0 Pro in Google AI Studio, Stitch, and v0 can now generate complete, visually stunning web experiences in seconds. However, turning that raw code into a live, production-ready website with a custom domain, HTTPS, and analytics is where 90% of creators get stuck. Here is the exact blueprint to deploy your exports in under 3 minutes without touching a terminal.
The Missing Step in AI Prototyping
When you prompt Google AI Studio or Stitch to generate a high-converting landing page, you receive clean, valid markup—often combining Tailwind CSS, modern vanilla JavaScript, and SVG graphics. You can preview it inside the iframe sandbox, and it looks phenomenal.
Then comes the cliff: you hit Export and download a .zip file.
Suddenly, your AI journey stops and legacy dev-ops begins. Google AI Studio gives you the code, but it doesn't give you an edge CDN, a DNS nameserver, an automated SSL certificate, or a lead management database. For marketers and non-technical founders, this creates an immediate bottleneck.
The Hidden Traps of GitHub + CI/CD
The default developer advice is usually: “Just create a GitHub repo, commit your code, connect to Vercel or Netlify, and push to main.”
In practice, this path is littered with unexpected tripwires:
AI exports often contain static assets without a `package.json` build command. CI/CD pipelines fail with mysterious exit code 1 errors.
Archives often wrap code in `dist/` or `project-name/`. The server displays a 404 “Cannot find index.html” error on root visits.
Serverless hosts impose strict monthly build limits and bandwidth surcharges once your campaigns start driving serious traffic.
Even when deployed, forms submit to empty endpoints (`action=“#”`). No leads are collected or sent to your phone.
The 3-Minute MANZA Blueprint
MANZA provides a purpose-built deployment engine specifically engineered for AI code exports. Instead of requiring Git commands or build scripts, it uses a high-performance ZIP pipeline straight into Cloudflare R2 edge storage.
Step 1: Export Your ZIP from AI Studio / v0
Export your project as a standard archive (.zip). Don't worry about whether `index.html` is in the root or inside a subfolder like `dist/` or `output/`.
Step 2: Drop into MANZA “Deploy AI Site”
Log in to MANZA and click Deploy AI Site ↗. Drag your ZIP file into the dropzone. The engine scans the file tree, flattens any nested directories, ensures `index.html` sits at the root, and streams assets to global edge storage.
Step 3: Map Your Domain & Free SSL
Add a CNAME record to point your domain to MANZA. SSL is automatically provisioned and renewed at zero extra charge.
Wiring Up Lead Generation & Meta Tracking
A static page is only as good as the revenue it drives. Most AI code generators leave forms disconnected.
With MANZA's integrated tracking panel:
- Google Tag Manager (GTM): Paste your Container ID (`GTM-XXXXXX`) to auto-inject the head container and body noscript iframe across your entire AI site.
- Meta Pixel & Server-Side CAPI: Input your Pixel ID and Graph API Access Token. MANZA handles both browser PageView events and verified server-side conversion delivery to bypass iOS tracking blocks.
- Instant WhatsApp Lead Routing: Turn basic static form submissions into instant WhatsApp notifications dispatched directly to your sales team's devices.
Ready to Launch Your AI Code in Production?
Skip the terminal configuration, Docker containers, and CI/CD pipelines. Start deploying your Google AI Studio, v0, and Bolt websites today with MANZA.