How to Deploy Google AI Studio Websites Correctly - Step by Step

Why It Matters

This streamlined deployment pipeline lets AI developers launch production‑grade sites quickly, reducing overhead and ensuring AI features remain functional after launch.

Key Takeaways

• Hostinger recommended for seamless AI Studio site deployment and hosting
• Connect AI Studio to GitHub, then link repository to Hostinger
• Add Gemini, Google, and Vite API keys as environment variables
• Use Node.js web app preset on Hostinger to publish AI Studio site
• Changes in AI Studio sync automatically to live site via GitHub

Summary

The video walks viewers through a step‑by‑step process for taking a web app built in Google AI Studio and making it publicly accessible. It emphasizes that while building the site is straightforward, publishing it requires a hosting partner, and the presenter recommends Hostinger for beginners.

The tutorial covers creating a Hostinger Business plan that supports five Node.js web apps, linking the AI Studio project to a private GitHub repository, and configuring the Node.js preset on Hostinger. It also details adding three common environment‑variable names—GEMINI_API_KEY, GOOGLE_API_KEY, and VITE_GEMINI_API_KEY—to preserve any Gemini or Google AI functionality after deployment.

The presenter highlights practical tips such as using a promotional link for a 10 % discount and a free domain for the first year, and demonstrates how to resolve the frequent “white page” error by running a specific command in AI Studio. A live demo shows the site loading correctly once Hostinger finishes the build.

By automating the sync between AI Studio, GitHub, and Hostinger, developers can push updates without manual redeployment, accelerating time‑to‑market for AI‑enhanced web experiences. The workflow lowers technical barriers, making AI‑driven sites more accessible to small businesses and solo creators.

Original Description

Learn how to deploy Google AI Studio websites the right way, from saving your project to GitHub, adding your API key, fixing common issues, connecting a real domain, and getting it fully live step by step.

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Building a website in Google AI Studio is the easy part. Getting it actually live on the internet is where most people get stuck. In this tutorial, I walk you through the full deployment process step by step. You'll learn how to save your AI Studio project to GitHub, connect it to hosting for automatic deployment, add your Gemini API key so your AI features keep working, fix the blank white page issue that catches almost everyone, and connect a real custom domain to your site. I also show you how auto-sync works so that any changes you make in AI Studio automatically show up on your live site without you having to touch a thing. Whether this is your first time deploying a website or you just need a clear walkthrough for AI Studio specifically, this video has you covered.

What You'll Learn:

✔️ How to save your AI Studio project to GitHub

✔️ Deploying your website using a Node.js web app setup

✔️ Adding your Gemini API key so AI features work after deployment

✔️ Fixing the blank white page issue

✔️ Connecting a real custom domain to your site

✔️ How auto-sync works between AI Studio, GitHub, and hosting

➡️ Blank Page Fix Prompt: “Update the vite.config.ts file so that the base is set to '/' for production deployment. Do not change anything else about the website or its design.”

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⏱️ Timestamps

0:00 Intro

0:46 What Is Hosting?

1:32 Hosting Setup

3:40 Save AI Studio Project to GitHub

6:05 Connect Domain

7:32 Add API Key

9:27 Deploy AI Studio Project

9:52 Blank Page Fix

10:37 Updating Your Website (Auto-Sync)

11:58 Hostinger Dashboard

12:51 Next Steps

📄 Disclosure

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