Firebase + Google AI Is INSANE!

Google AI Plus Firebase is insane. Google AI Studio just changed everything. You can now build a full web app with user login, file uploads, and a real database in like 20 minutes. No coding, no stress, just prompts. I'm going to show you exactly how to do it step by step. And we're using it to build something actually useful for the AI profit boardroom. Let's go. All right. So, here's the thing. Most people think Google AI Studio is just for chatting with AI or building basic websites. wrong. You can build actual web applications. We're talking user accounts, login systems, file storage, databases, the whole thing. And you don't need to write a single line of code. You just prompt it. So today, I'm walking you through the exact process I used to build a real web app for the AI profit boardroom. This is a member dashboard where people can upload files, save notes, track their AI automation progress, all tied to their own account. Everything persists, everything is secure, and it took me about 20 minutes to build. First, let me explain what makes this different from a regular website. A website is just pages. A web app has users. It has data that saves. It has state that persists over time. So, when someone logs out and comes back tomorrow, all their stuff is still there. That's the difference. And to do

this, we need three things. Authentication, so we know who the user is, a database to store their data, and file storage for uploads like PDFs or images. We're using Firebase for all of this. Firebase handles authentication. It has a database called fire store and it has cloud storage for files and Google AI studio builds the entire front end and connects everything with prompts. No coding required. Let me show

you how. Step one is setting up Firebase. Go to the Firebase console and click get started. Enter your project name. I'm calling mine AI profit boardroom dashboard. Disable analytics if you don't need it. Click finish. Now you have a Firebase project. Next. Add a web app to Firebase. Click add app. Choose web. Enter your app name. Disable hosting for now and register the app. Firebase will give you a configuration code. Copy this. You'll need it later. This is what connects your app to Firebase. Now enable authentication. Go to build then authentication. Then get started. Enable email and password signin. Also enable Google signin. For Google you need to set a public facing project name and select a support email. Save it. Now users can sign up with email or Google. Here's a bonus tip. Go to authentication templates and customize your emails. Change the sender name to your app name. This way when users get verification emails or password reset emails, it looks professional and branded. All right, Firebase is ready. Now, let's connect it to Google AI Studio. Open

Google AI Studio and start a new project. At this point, it's just a static website. No login, no backend. Now, paste the Firebase configuration code you copied earlier into a prompt. Tell Google AI Studio to initialize Firebase and connect authentication. Run the prompt. Done. Your app is now connected to Firebase. Let's test it. Click get started on your app. Sign up with an email and password. You should get redirected to a dashboard. Now go back to Firebase. Check the authentication tab and you'll see your user listed there. Boom. Your site is now a real web app with user accounts. But we're not done yet. Let's add email verification. And this is important because you want to make sure users actually own the email they signed up with. Prompt Google AI Studio to send a verification email on sign up and block login until the email is verified. Test it. Sign up with a new email. Check your inbox. Verify the email. Log in again. It works. And by the way, if you want to learn how to save time and automate your business with AI tools like Google AI Studio and Firebase, join the AI profit boardroom. We teach you exactly how to build tools like this, automate your workflows, and scale your business with AI. No fluff, just real systems that work. Link in the description. Now, here's something cool. If you want Google Signin to work in production, you need a live domain. Deploy your app to get a real URL. Then go to Firebase authentication settings and add your domain under authorized domains. Now, Google Signin works on your live site.

All right, step two. Let's add a database so users can actually save data. Go to Firebase. Click build, then fire store database. Create a new database. Choose standard edition. Select your region. Choose production mode. This sets up secure rules by default. Click create. Now, here's the key part. You need to set up security rules so users can only access their own data. Go to fire store rules and replace the default with rules that say users must be authenticated and can only read and write documents that match their user ID. This gives you full data isolation. No user can see another user's data. Now decide what data you want to store for the AI profit boardroom dashboard. I'm storing notes, uploaded file, metadata, team members, and progress tracking. Prompt Google AI studio to add these sections to the dashboard and save everything to fire store under the loggedin users ID. Test it. Add a note. Add a team member. Upload some metadata. Now refresh the page. Log out. Log back in. Everything is still there. Check Firebase. Go to Fire Store. Find your user ID document. And you'll see all the data saved there. This is persistence. This is what makes it a real app. Now, let's add file

uploads. This is where Firebase storage comes in. Fire store stores data and metadata. Storage stores actual files like images, PDFs, audio files, whatever. Go to Firebase. Click build, then storage. You'll need to upgrade to the Blaze plan. Don't worry, it's pay as you go. Set a small budget like $5. Choose a no cost location. Choose production mode. Click create. Now, set up security rules for storage. Replace the default rules so each user has their own folder named with their user ID. Users can only read and write files inside their own folder. Publish the rules. This keeps everything secure and isolated. Prompt Google AI Studio to add file upload functionality. Tell it to let users select files from their device. Upload them to Firebase storage and associate the files with the loggedin user. Test it. Upload an image. Upload a PDF. Check Firebase storage. The files appear under your user ID folder. Delete a file. It gets removed from both the UI and Firebase storage. Perfect. At this point, you have authentication, a database, and file storage all working together. Now, make sure the UI reflects the backend state. The dashboard should show the user's name, display how many files they've uploaded, show their notes, all dynamically pulled from Firebase. If it's not doing this yet, prompt Google AI Studio to connect the backend state to the UI. Here's a cool feature you can add. Let's say you want to limit free users to five file uploads. Prompt Google AI Studio to track the file count per user in Fire Store. When they hit five files, disable the upload button and show a message saying upgrade to upload more. You're not adding payments yet, but you're setting up the structure for a premium model. So, what do you have now? You have user authentication with email and Google signin. You have email verification. You have a secure database with fire store. You have file uploads with Firebase storage. You have full user isolation, so no one can access another user's data. And you have a UI that reacts to backend state in real time. This is a real web app. This is the foundation

for any SAS you want to build. And here's the best part. This isn't just for one idea. You can reuse this exact structure for anything. A client portal, a course platform, a project management tool, a content library, whatever. Change the idea, keep the system, the architecture stays the same. Let me give you a real example for the AI profit boardroom. We're using this to build a member resource hub. Members log in, upload their AI automation templates, save notes from our training, track their progress, and collaborate with team members. All of it is tied to their account. All of it persists. And it took 20 minutes to build with prompts. You could do the same thing for your business. Build a client dashboard where clients log in and see their project files. Build a mini CRM where you track leads and save notes. Build a content hub where your team uploads and organizes resources. The possibilities are endless. And if you want the full process, SOPs, and over 100 AI use cases like this one, join the AI Success Lab. It's our free AI community. Links in the comments and description. You'll get all the video notes from there, plus access to our community of 40,000 members who are crushing it with AI. Look, the barrier to building web apps is gone. You don't need to hire developers. learn to code. You just need Google AI Studio and Firebase. You prompt it, you test it, you deploy it. That's it. So, go build something. Use this system. Apply it to your niche. And if you have questions, drop them in the comments. Julian Goldie reads every single one. Thanks for watching. to see you in the next one.