AI SaaS Website Build Skill [Basic Ver]

Building a production-ready AI SaaS requires stitching together complex patterns like SSE streaming, Stripe webhooks, and secure Firebase session management. Qn: How much time have you spent reinventing boilerplate for tier gating, rate limiting, and security headers instead of building their core AI features. What it does: Scaffolds a framework-agnostic architecture for AI platforms including auth, payments, and LLM workspaces. Implements a robust SSE (Server-Sent Events) streaming engine compatible with OpenAI, Gemini, and local Ollama models. Provides a secure Firebase session cookie implementation to replace standard client-side auth tokens. Establishes a complete subscription system with Stripe Checkout, multi-tier gating, and automated webhook handling. Includes an exhaustive 23-point QA and security audit checklist to ensure production readiness. Frameworks & tools: Next.js 16, TypeScript, TailwindCSS v4, Firebase Auth & Firestore, Stripe, Framer Motion, and Lucide React. Why this beats prompting it yourself: Generic prompts often miss critical production details like raw body verification for webhooks, CSP nonce injection, or proper Admin SDK singleton patterns. This skill provides a battle-tested blueprint that handles these edge cases by default, saving you from common security pitfalls and architectural debt. Use cases: Deploying a multi-model AI playground with side-by-side comparison features. Building a gated SaaS where specific LLM models are locked behind Stripe Pro tiers. Setting up a secure admin dashboard to monitor user API usage and quotas. Launching a production-grade landing page with validated SEO and security headers.Known limitations NOTE: Code examples use Next.js 16 as a reference. Requires manual setup of Firebase projects and Stripe accounts before deployment. Framework agnostic, I built my site on it, and I decided to share it as a starting point for dreamers, builders and people who just want to try something out without the hard-work.