Two weeks sounds ambitious. It is ambitious. But it's not unrealistic โ and the gap between "ambitious but realistic" and "impossible" is almost entirely explained by how you use AI during the build.
I'm not talking about using AI to write a few components here and there. I mean treating AI as a genuine co-engineer who helps you make architectural decisions, write every layer of the stack, debug errors in real time, and ship features you'd normally spend days on. That changes the math of what one person can build in a fortnight.
This guide is the exact playbook. No theory, no fluff. Week one builds the foundation. Week two ships the product. Let's go.
Before You Write a Single Line of Code
The biggest reason MVPs fail isn't bad code. It's building the wrong thing. Before you open your editor or type a single prompt, you need clear answers to four questions. AI can help you work through all of them โ but you have to do this step.
Prompt Claude or ChatGPT: "I want to build [your idea]. Play devil's advocate โ what are the 5 reasons this might fail, and what would I need to validate before building it?" This 10-minute exercise has saved more MVPs than any framework.
The MVP Tech Stack (Tested and Proven)
Don't reinvent this. Every tool below was chosen because it minimises configuration time and maximises how much AI can help you build with it. There are faster stacks for specific use cases, but this one gets you from zero to deployed the fastest.
Week One โ Build the Foundation
Project Setup + Architecture
Scaffold Next.js 15, configure TypeScript strict mode, set up Clerk auth, connect Supabase. Use AI to design your database schema before writing a single table โ this is the most important session of the whole build.
Core Feature โ The One Thing
Build the single feature that makes your product worth paying for. Nothing else. Use the 6-layer prompt framework for every component. This is where AI co-engineering pays off the most.
Dashboard + User Flow
Build the dashboard users see after login. Onboarding flow, empty states, loading skeletons. This is where most builders underinvest โ a good first-run experience determines whether users come back.
Week Two โ Ship It
Stripe Payments + Billing
Add Stripe Checkout, webhooks, and subscription management. Prompt AI with your exact Stripe version and Clerk user IDs. This used to take 3 days. With AI and the right prompts it's an afternoon.
Landing Page + SEO
Build your marketing landing page. Hero, features, pricing, FAQ, testimonials. Use AI to write every section of copy too โ give it your ICP details and let it write the first draft you'll refine.
Polish, Test + Deploy
Fix bugs, add loading states everywhere you missed them, test on mobile, deploy to Vercel, set up your custom domain and submit to Product Hunt. You're live.
What It Actually Costs
One of the biggest surprises for first-time SaaS builders is how little the modern stack costs to start. Here's the honest breakdown for an MVP with under 100 users:
| Service | What You Get | Monthly Cost |
|---|---|---|
| Vercel | Hosting + deploys | Free |
| Supabase | Database + storage | Free (500MB) |
| Clerk | Auth up to 10K MAU | Free |
| Stripe | Payments (2.9% + 30ยข) | Free (% of revenue) |
| Claude/ChatGPT | AI co-engineer | $20/mo |
| Cursor IDE | AI editor | $20/mo |
| Domain | .com domain name | ~$12/yr |
"I launched my first SaaS for $40/month total. The AI tools were $40 of that. Everything else was free until I had paying customers."
โ Sara M., Indie Founder, Berlinโก Key Takeaways
- Validate before building โ use AI to stress-test your idea before writing code
- Stick to the proven stack: Next.js 15, TypeScript, Clerk, Supabase, Stripe, Vercel
- Week one is foundation โ resist adding features until core works perfectly
- Week two is ship โ payments, landing page, deploy, launch
- Total cost to start: $40/month, free until you have paying customers
- The limiting factor isn't skill or tools โ it's focus. One feature, done properly.