Case study — 05
Ship AI SaaS
The most production-ready AI SaaS boilerplate.
Sole Developer & Designershipaisaas.com
The boilerplate the rest of this list stands on — a production-ready foundation for shipping AI-integrated vertical SaaS in days, not months.
- Problem
- Every new AI web app hit the same wall: weeks spent wiring up authentication, payments, email and database connections before writing a single line of the actual product. The friction of re-solving the same solved problems was draining enough to abandon projects over.
- What I built
- Agentic chat with streaming, Better-Auth with team workspaces, Stripe billing, QStash background queues, human-in-the-loop approval — and a CLAUDE.md written so coding agents can navigate the codebase without being re-briefed every session.
- Key decision
- Every AI action routes through one deterministic pipeline — a semantic-router orchestrator, specialised agents, Zod-validated tools — so nothing about agent behaviour is spaghetti or hallucinated state.
- Also true
- Every AI-generated output is auto-captured to a searchable library via the Asset Interceptor, and human-in-the-loop approval gates pause execution before anything sensitive runs.
Built with
- Next.js
- Better-Auth
- Stripe
- Drizzle
- Upstash
- Resend