Ship AI products in days, not months
A production-ready Next.js 16 foundation for AI applications — auth, payments, streaming, and token billing wired from day one.
Core stack
Next.js (App Router)TypeScriptPrisma ORMTailwind CSSWhat's included
You had the idea. You know the market. You've got the feature list written in a Notion doc somewhere. Then you sat down to build it, and the first two weeks evaporated setting up auth, wrestling with Stripe webhooks, trying to get streaming responses to not break the UI, and figuring out how to stop one free user from burning through $40 of OpenAI credits before you even launched.
This is the part nobody writes blog posts about. The foundational grind. And it's where most AI product ideas quietly die.
The Advanced AI SaaS Boilerplate exists because we've been through that grind ourselves. We cut the setup time from 6–8 weeks down to a weekend. Here's exactly what you get.
Calling OpenAI's API for a demo is easy. Building a production streaming interface is a different problem entirely. You need to handle partial responses, provider timeouts, rate limit errors (without crashing the UI), and reconnection logic when a stream drops mid-sentence.
This boilerplate ships with pre-configured server-side routes for OpenAI GPT-4o, Anthropic Claude 3.5 Sonnet, and Google Gemini 1.5 Pro — all using Server-Sent Events (SSE) for true token-by-token streaming. The client-side hook handles reconnection and partial state automatically. Switch between providers with a single environment variable.
You're not getting a thin API wrapper. You're getting production-tested error handling that covers the failures you haven't thought to test for yet.
One of the fastest ways to lose money on an AI product is to let usage run unchecked. A user finds a loophole, runs a batch job overnight, and you wake up to a $200 OpenAI invoice from a $29/month customer.
We've built a database-backed token metering system into the schema from the start. Every request logs input tokens, output tokens, the model used, and the cost in fractions of a cent. You can set hard limits per user, per subscription tier, or per billing period. When a user hits their limit, they get a clean error and a prompt to upgrade — not a timeout or a cryptic failure.
Billing models supported out of the box:
All three are in the codebase. You pick the one that fits your pricing model and delete the others.
Rolling your own auth in 2026 is a liability. The boilerplate ships with a choice between Clerk (fully managed, excellent UI components) and Auth.js v5 (fully open-source, self-hosted, zero vendor dependency). Both are pre-configured with:
Whichever you choose, the user object flows cleanly through to the token metering layer so usage is always tied to a verified, paying account.
Stripe webhook handling is notorious for being tricky to get right. Events arrive out of order. The same event can fire twice. A payment can succeed on Stripe's end but fail to update your database if the webhook handler throws an error.
This boilerplate uses an idempotency-key pattern on all webhook handlers. Every event is logged before processing, and the handler is wrapped in a database transaction so either both the Stripe record and your user record update, or neither does. Subscriptions, upgrades, downgrades, cancellations, and failed payment retries are all handled.
The Stripe Customer Portal is wired up so users can manage their own billing without you needing to build any of that UI.
The codebase is clean, well-commented, and structured in a way that makes it easy to delete what you don't need rather than forcing you to build around a rigid architecture.
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