Deliberate app architecture (no boilerplate chaos)
Built-in Cursor rules & invariants
Multi-tenant data model + RLS isolation
Secure auth flow with Supabase Auth
Production-ready API pattern
Typed DB layer (Postgres + Drizzle + Zod)
Human + AI-readable docs as source of truth
Coming soon...
Blog module for SEO
PRD AI-generated
Human-crafted core
Hand-crafted architecture. So your AI does not hallucinate the foundation.
AI is great at isolated components, but it breaks down on product architecture surprisingly fast. This starter gives you the developer-written SaaS core, so Cursor can build features without reinventing the foundation every session.
S
The real value here is not token math. It is the setup time and debugging spiral you skip.
43-61h
of this template’s developer’s real time invested
$1.5k–2.5k
saved on architecture built by a real developer
Configured Next.js
AI can generate screens quickly, but it often makes a mess of project structure. Here the routing, folder boundaries, and clean baseline are already thought through by a developer.
AI can write queries, but it regularly gets schema decisions, permissions, and auth/data relationships wrong. Here the data layer starts closer to a real SaaS baseline.
Checkout flows, billing states, and webhooks are exactly where AI tends to fall apart. Here that logic is already wired by hand, without the usual pain in the last 20%.
Save
$350-550
up front
/
Checkout, webhooks, subscription states without chaos
R
Resend Email
You do not have to build the transactional email layer from zero or chase small delivery, template, and trigger issues for core product events.
Save
$120-220
up front
/
Provider setup, templates, triggers for core product events
Multi-tenant Core
Data isolation, tenant boundaries, and ownership logic are some of the hardest things for AI to reason about. Here the foundation is already shaped to survive scaling.
Save
$500-800
up front
/
Tenant boundaries, data isolation, scale-ready design
Auth Module
AI can scaffold login and signup quickly, but redirects, session states, access edges, and permission logic usually break later. Here that baseline is already treated like product infrastructure, not demo code.
A complete Starter Kit with embedded architecture rules that guide AI development.
Organized Project Structure
Every file has its place. Clear separation between pages, components, utilities, and configuration.
AI-SAAS-FOUNDATION
Project Structure
docs
src
app
(marketing)
(app)
api
auth
globals.css
layout.tsx
providers.tsx
components
features
hooks
lib
auth
billing
db
supabase
validation
permissions.ts
types
middleware.ts
supabase
.cursorrules
.env.example
README.md
eslint.config.mjs
next.config.ts
package.json
tsconfig.json
Cursor Rules Built-In
Pre-configured rules that tell Cursor exactly how to work within your project boundaries.
What this covers
Keeps AI focused on your current task, not random rewrites
Protects project structure so files stay organized
Prevents risky changes that can break working features
Helps AI keep context between sessions
Reduces time spent fixing generated code
Before / After
AI feels fast at first, until the codebase starts drifting
This comparison shows the shift from fragile vibe-coded growth to a more structured way of building with AI, where speed does not come at the cost of architecture.
Before
The problem with vibe-coding
Cursor and AI feel magical at first, until your project starts falling apart.
✕You burn tons of tokens and time on a foundation that ends up wrong
Setting up the base and architecture via AI eats a lot of resources and tokens. In the end the foundation often turns out wrong anyway — and that means more time and money spent on rework.
✕Context is lost between sessions
AI forgets why decisions were made. Without a shared source of truth, every new feature risks breaking existing logic.
✕The project becomes hard to scale or hand off
What started as a fast prototype turns into something no developer wants to maintain, extend, or refactor.
✕You spend more time fixing AI output than building
Instead of shipping features, you fight regressions, duplicated logic, and broken flows introduced by the AI.
Before
The problem with vibe-coding
Cursor and AI feel magical at first, until your project starts falling apart.
After
The SaaSbyMonday solution
Start with a solid architecture that AI can accelerate instead of slowly breaking.
Before
The problem with vibe-coding
Cursor and AI feel magical at first, until your project starts falling apart.
After
The SaaSbyMonday solution
Start with a solid architecture that AI can accelerate instead of slowly breaking.
✕You burn tons of tokens and time on a foundation that ends up wrong
Setting up the base and architecture via AI eats a lot of resources and tokens. In the end the foundation often turns out wrong anyway — and that means more time and money spent on rework.
Ready-made foundation — no token burn
You get a built Next.js + Supabase base with auth and multi-tenancy. No spending tokens and months on setup — you save time and money.
✕You burn tons of tokens and time on a foundation that ends up wrong
Setting up the base and architecture via AI eats a lot of resources and tokens. In the end the foundation often turns out wrong anyway — and that means more time and money spent on rework.
Ready-made foundation — no token burn
You get a built Next.js + Supabase base with auth and multi-tenancy. No spending tokens and months on setup — you save time and money.
✕Context is lost between sessions
AI forgets why decisions were made. Without a shared source of truth, every new feature risks breaking existing logic.
Context is preserved between sessions
PRD and project structure are shaped for AI: the model keeps product logic in mind and doesn't rewrite everything from scratch each time.
✕Context is lost between sessions
AI forgets why decisions were made. Without a shared source of truth, every new feature risks breaking existing logic.
Context is preserved between sessions
PRD and project structure are shaped for AI: the model keeps product logic in mind and doesn't rewrite everything from scratch each time.
✕The project becomes hard to scale or hand off
What started as a fast prototype turns into something no developer wants to maintain, extend, or refactor.
Built-in rules and invariants define where things live and how to add features. The project can scale and be handed off without chaos.
✕You spend more time fixing AI output than building
Instead of shipping features, you fight regressions, duplicated logic, and broken flows introduced by the AI.
AI accelerates instead of breaking
AI works within clear boundaries: fewer regressions and random edits, more time on actual development instead of cleanup.
✕You spend more time fixing AI output than building
Instead of shipping features, you fight regressions, duplicated logic, and broken flows introduced by the AI.
AI accelerates instead of breaking
AI works within clear boundaries: fewer regressions and random edits, more time on actual development instead of cleanup.
Why This Is Different
AI writes code. We make sure it stays yours.
Other starters give you files. We give you a system with clear rules so AI accelerates you instead of rewriting you.
VS
Typical AI tools & boilerplates
Ship fast, then spend weeks untangling what changed and why
No single source of truth, so every prompt can reshape the codebase
AI edits anywhere; you inherit merge conflicts and surprise rewrites
New devs or future you can't onboard without reverse-engineering
Scaling feels like duct tape, and handoff becomes a risk instead of a plan
Great for a demo; painful when you need to scale or hand off
This Starter Kit
One place defines how the app is built, and both AI and humans follow it
Cursor rules and invariants guard structure; AI suggests, you stay in control
The product spec is shaped for the model, so features land in the right place
Architecture is baked in from day one instead of bolted on later
You move fast without constant "who changed this?" moments and unplanned refactors
Built to scale and hand off without rewriting from scratch
Who This Is For
For builders who ship with AI and still want a maintainable product
You get a real SaaS foundation in hours, with rules so AI doesn't turn your codebase into a one-off prototype.
Real SaaS
multi-tenant, auth, RLS
Cursor-first
rules & invariants built in
Hours, not weeks
to first deploy
Handoff-ready
structure you can scale
Perfect Match
This is for you if
You're building a real product, not a throwaway prototype
You already use Cursor or Copilot and want AI to respect your architecture
You care about structure so you can scale or hire later
You're okay writing and reviewing code, but you don't want to start from zero
You'd rather spend time on product than fixing what the AI broke
Finally, AI that doesn't rewrite my app every session. The rules keep Cursor in line and the codebase predictable.
— Builder shipping with Cursor
Not Recommended
Probably not for you if
–You want AI to build and run the product with zero code involvement
–You need a no-code or drag-and-drop builder
–You're only testing an idea and don't care about long-term structure
–You're not willing to read code or review AI-generated changes
–You need a fully custom stack outside React / Next / Supabase
You'll need to write and review code. We give you the foundation and guardrails, and you build on top with AI. No one-click magic.
Pricing
Simple, transparent pricing
One plan. No subscriptions. Everything you need to build and ship.
47 spots left at this price
Lifetime Access
Pay once. Use forever.
$9580% OFF
$19one-time
Save $76 today
Full source code access
Cursor rules & AI-safe architecture
Multi-tenant Supabase setup (RLS)
Stripe payments & webhooks
Free lifetime updates
Private GitHub repository access
Secure Payment
SSL Encrypted
Instant Access
30-Day Money-Back Guarantee
Not satisfied? Get a full refund, no questions asked. We're confident you'll love it.
FAQ
Frequently asked questions
Everything you need to know before getting started
No. This is a Starter Kit with embedded architecture rules, Cursor rules, and an AI-oriented PRD. It's designed to grow with your product, not be thrown away.
You should be comfortable working with code and using tools like Cursor. This is not a no-code solution, but you don't need deep backend expertise to get started.
After payment, you get instant access to a private GitHub repository with the full source code, setup instructions, and future updates.
Yes. You can use the foundation to build and sell your own SaaS products without restrictions.
Yes. The foundation is built around principles that guide AI safely. Cursor is supported today, and the structure will remain compatible with future AI coding tools.
AI-safe starter
Ready to build without breaking things?
Start with a Starter Kit with embedded architecture rules and let AI work within safe boundaries.