Do I need to know how to code?

Basic JavaScript helps. The lessons walk through Next.js, Supabase and the Claude API step by step and show how to use Claude Code and Cursor, but you still need to read, run and debug code.

Which stack does it use?

Next.js and Tailwind on Vercel; Supabase for the database, auth, storage and edge functions; the Claude API for AI features; MCP servers; and Stripe for billing. Provider features and prices change, so check current terms.

What will it cost to build?

Supabase, Vercel and Stripe have free or low-cost starting tiers, but commercial use of Vercel needs a paid plan and AI API calls are billed by usage. The course covers cost controls such as prompt caching.

Does it guarantee revenue?

No. It teaches how to validate, build, launch and price a product; results depend on the problem you pick, your execution and the market.

Should I buy this or All-Access?

Choose the $197 standalone course if you only need AI SaaS Builder. Choose All-Access if you want all four premium courses plus Futures Trading, weekly live coaching, the private community, and the resource vault with templates.

What's the refund policy?

30-day money-back guarantee. Reply to the welcome email with the word "refund" to request it.

/ai-saas · Claude, Next.js, Supabase and Stripe

Build an AI SaaS product.
From idea to paying users.

A 10-module, 52-lesson curriculum: validate an idea, build on Supabase and Next.js, add AI features with the Claude API, speed up with Claude Code and MCP, deploy on Vercel, launch, and charge with Stripe.

01 — The current state

Where it hurts right now.

◌

Ideas without demand

You have a list of AI app ideas but no way to tell which one people would pay for.

⌘

Too many tools

Models, vector databases, agents, MCP, hosting: every tutorial uses a different stack and none connect end to end.

△

Prototypes that never ship

The demo works on your laptop, but auth, data security, billing and deployment stall the real launch.

↘

Launch silence

You shipped, posted once and got no users, so you cannot tell whether the product or the launch failed.

02 — Why other paths fail

The graveyard of attempts.

Compare these approaches with the structured curriculum and decide what fits your goals.

build-first

“Code for months, then look for customers.”

Without validation you can spend the whole build on a problem nobody pays to solve.

thin wrapper

“Put a prompt behind a login and call it a product.”

If the only value is a single model call, users can get the same result from the model provider's own app.

skip the boring parts

“Security and billing can wait.”

Exposed API keys, missing Row Level Security and no rate limits turn early users into a liability.

launch and wait

“Post it once and let it grow.”

First users come from direct outreach, a planned launch and content; retention work keeps them.

03 — What's different here

The line between tactic and system.

Disconnected tool tutorials.

One current stack end to end: Supabase, Next.js, the Claude API, Vercel and Stripe.

One stack

Demo-grade code.

Row Level Security, secrets handling, rate limits, fallbacks and cost controls.

Production basics

Writing every line by hand.

Claude Code, Cursor and MCP servers built into the development workflow.

AI-assisted build

Stopping at deploy.

Launch, pricing, Stripe billing, churn and the metrics that matter.

Business side

04 — Named mechanism

The AI SaaS Build Loop

A four-part loop from idea to revenue.

Validate a specific problem before writing code, build the smallest useful product on a proven stack, launch to real users, then price, measure and improve. The curriculum does not promise a revenue figure; outcomes depend on the problem, execution and market.

Validate

Pick a narrow problem, test demand with real people, and choose a stack you can ship on.

Build

Supabase data and auth with Row Level Security, a Next.js front end, and one core AI feature on the Claude API.

Launch

A landing page, a Product Hunt plan, content and direct outreach to win your first users.

Monetize

Pricing models, Stripe billing, retention work and the metrics that tell you what to fix.

05 — Catalog outline

10 listed modules. 52 listed lessons.

Lessons are added and updated over time.

Generate ideas from problems you can reach, validate demand before you build, and choose a stack you can ship on.

Lessons

Building an AI SaaS in 2026
Idea Generation Framework
Validate Before You Build
Choose Your Stack (Claude + Next.js + Supabase)

06 — The implementation map

A roadmap, not a promise.

Suggested milestones for planning your implementation. Timing and results vary.

01Weeks 1–2

Pick and Validate

Problem chosen · Demand tested with real people · Stack chosen

02Weeks 3–4

Data and Auth

Schema designed · Row Level Security on · Auth working

03Weeks 5–6

Core AI Feature

Claude feature built · Costs measured · Errors handled

04Weeks 7–8

Ship It

Deployed on Vercel · Domain and analytics live

05Weeks 9–10

Launch

Landing page live · Launch plan run · First users onboarded

06Weeks 11–12

Charge and Measure

Pricing chosen · Stripe billing live · Metrics tracked

07 — What you need

Prerequisites, honestly.

The actual stack and the actual time. No "you'll need nothing" lies.

◷

A weekly build block

Plan regular time to build and test; how long it takes depends on your experience and the product.

⌘

Developer accounts

GitHub, Supabase, Vercel, an Anthropic API key and later Stripe. Free tiers cover learning; commercial hosting and API calls cost money.

△

Basic JavaScript

optional

Helpful but not required: the lessons explain the code, and you will still read, run and debug it.

◯

A problem worth solving

A specific user and problem you can reach and talk to before and after you build.

08 — Honest framing

What it will do. What it won't.

It will

Provide a structured curriculum for validating, building, launching and charging for an AI SaaS product on a current stack, with code walkthroughs and checklists for each stage.

It won't

Won't guarantee revenue.

Results depend on the problem you pick, execution, pricing and the market.

Won't replace legal, security or tax advice.

Privacy law, AI disclosure rules, payments and taxes depend on where you and your users are.

Won't let AI ship unattended.

Claude Code and Cursor speed you up, but you still review, test and own the code.

Won't pick your idea for you.

The course gives you a validation method; the problem and the users are yours to choose.

09 — What's actually in the box

What the $197 standalone course includes.

10 core modules (52 lessons)
Included
Resource vault: 10 templates, checklists and spreadsheets
Included
Module 4 — Claude Code & MCP Servers
Included
Supabase masterclass (8 lessons)
Included
Claude API deep dive
Included
Vercel deployment and scaling
Included
Launch and pricing playbooks
Included
Stripe billing walkthrough
Included
Listed components8

10 — Common questions

What you'd ask before wiring funds.

If your question is not listed, email anyro@iimagined.ai.

Course outline above · one-time purchase

Start the work.

One-time purchase. 30-day money-back guarantee.

Enroll for $197→Or All-Access $99/mo →

11 — Next move

What pairs with AI SaaS Builder.

See all 4 programs →

Continue the stack

Digital Products

Productize the AI itself — recurring beats one-time.

$189 · 8 listed modules→

Free library

AI Automation library

Every essay, playbook, and breakdown in the ai saas builder category — free access.

/topics/ai-automation→

Bundle

All-Access — every program

All 4 premium courses · weekly coaching · private community · resource vault.

$99/mo→

Also exploreInstagram Ignited$147 AI Influencers$169

Build an AI SaaS product.From idea to paying users.

Where it hurts right now.

The graveyard of attempts.

The line between tactic and system.

A four-part loop from idea to revenue.

10 listed modules. 52 listed lessons.

A roadmap, not a promise.

Prerequisites, honestly.

What it will do. What it won't.

What the $197 standalone course includes.

What you'd ask before wiring funds.

Start the work.

What pairs with AI SaaS Builder.

Digital Products

AI Automation library

All-Access — every program

Build an AI SaaS product.From idea to paying users.

Where it hurts right now.

The graveyard of attempts.

The line between tactic and system.

A four-part loop from idea to revenue.

10 listed modules. 52 listed lessons.

A roadmap, not a promise.

Prerequisites, honestly.

What it will do. What it won't.

What the $197 standalone course includes.

What you'd ask before wiring funds.

Start the work.

What pairs with AI SaaS Builder.

Digital Products

AI Automation library

All-Access — every program

Build an AI SaaS product.
From idea to paying users.

Build an AI SaaS product.
From idea to paying users.