AI SaaS Website FULL BUILD [Pro Ver]

The problem

Building a production-ready AI SaaS requires manually stitching together auth, streaming LLM interfaces, Stripe subscriptions, and secure deployments. Skipping security audits or rate limiting often leads to broken builds or high-cost API leaks.

What it does

• Scaffolds a complete Next.js 16 environment with Firebase Auth, Firestore, and TailwindCSS v4.
• Deploys a multi-model streaming LLM playground with tiered access (Free/Pro/Dev).
• Integrates Stripe Checkout and webhooks for automated subscription management.
• Sets up observability with PostHog analytics, Sentry error tracking, and automated email notifications via Nodemailer.
• Executes a 40-point QA and security audit including CSP headers, rate limiting, and Firestore rules.

Frameworks & tools

Next.js 16, TypeScript, Firebase (Auth/Firestore/App Hosting), Stripe, TailwindCSS v4, shadcn/ui, PostHog, Sentry, and Framer Motion.

Why this beats prompting it yourself

Generic prompts result in stubbed-out files and missing integrations. This skill follows a strict 25-step build order that automates secrets provisioning, infrastructure setup, and a full security audit that most manual prompts overlook.

Use cases

• Launch a white-label AI wrapper with multi-model support and per-user quotas.
• Build a secure internal AI playground for teams with centralized admin controls.
• Ship a production-grade MVP with automated deployment and analytics in one run.

Known limitations

Does not support 3-D runtimes like Three.js or Spline. Requires Firebase and GitHub CLI tools for full automation.