After 7 videos of building GuardAI, our Full Stack AI SaaS is finally LIVE!

In the final video of Phase 6, I take GuardAI from localhost to production and deploy the complete application to Vercel.

But deploying a real SaaS is more than clicking Deploy. After the first deployment, we have to reconfigure the services that were connected to localhost and make everything work with the production URL.

In this video, we configure:
Push the GuardAI project to GitHub
Import the Next.js project into Vercel
Configure production environment variables
Deploy GuardAI to Vercel
Replace localhost URLs with the production URL
Configure Supabase Auth for production
Update Google OAuth configuration
Create the production Stripe webhook
Update Stripe webhook configuration
Update environment variables
Redeploy the application
Test the complete live GuardAI application

GuardAI includes Next.js, Tailwind CSS, shadcn/ui, GSAP, Supabase Auth, PostgreSQL, OpenAI, Stripe, webhooks and more.

And at the end, we open the live application and test the major workflows to verify that the SaaS is actually working in production.

This is Video no. 37 and the Phase 6 finale of AI Engineer 360.

From localhost → GitHub → Vercel → Production → LIVE SaaS.
GuardAI is LIVE.

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