How to Build a SaaS Product With AI
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How to Build a SaaS Product With AI

One determined person can now build, launch, and run a real subscription product. The fundamentals of SaaS have not gotten any less demanding.

Ashley KaysAshley Kays
4 min read
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SaaS used to require a founding team: someone to build, someone to design, someone to sell. AI has genuinely compressed that — one determined person can now build, launch, and run a real subscription product. It hasn't made the fundamentals of SaaS any less demanding. It's just changed who's able to attempt it.

What's actually different about building SaaS versus a simple app

A SaaS product isn't just software — it's software with ongoing commitments baked in: accounts, billing, data that has to stay correct and secure over time, and a relationship with customers that continues long after launch day. This is where a lot of "I built an app in an afternoon" energy runs into a wall, because a subscription product has to work reliably for a stranger who's trusting you with their money and their data, not just impress you in a demo.

Building the core with Claude Code

For the actual product — the logic, the database, the parts that need to hold up under real usage — Claude Code is a genuinely strong partner. It handles the kind of multi-file, real-architecture work SaaS requires, not just a single polished screen. We rely on it heavily ourselves; the honest tradeoffs are laid out in why we still built Waymaker despite loving Claude Code — the short version is that code is a large piece of SaaS, but not the whole business.

The parts of SaaS that live outside the codebase

Billing that actually works when a card expires. Onboarding that gets a new user to their first real value instead of confusion. A pricing structure that reflects what people are actually paying for. Retention — the unglamorous, compounding work of making sure people stick around past month one. None of this is code, exactly, and all of it determines whether a technically excellent product turns into a real business.

This is the gap we built Waymaker to close — not instead of Claude Code, but around it. Cameron holds context on your pricing decisions, your customer conversations, and your growth plan across every stage, so the product decisions you make while building connect to the go-to-market decisions you'll need six weeks later.

A realistic SaaS build sequence

Validate the core problem before writing code — our validation framework applies just as much to SaaS as anything simpler. Build the smallest version that delivers the core value, not the full feature set. Get five real users paying or committing to pay before you invest in polish. Use that early feedback to shape what you build next, instead of guessing. And once you have paying users, the work shifts from building to keeping them — which is a different, ongoing skill worth planning for from day one, not bolting on later.

What good SaaS actually needs, in order

A problem worth paying to solve, repeatedly. A build that's reliable enough to trust with real accounts and real money. A price that reflects real value. And a system for staying connected to your customers after the sale — the part most solo builders underinvest in, because it's less visible than shipping a new feature.


Building a SaaS product on your own? Waymaker covers the full arc — validation, build, launch, growth, and monetization — with Cameron holding the context the whole way. Start for free.

Ready to put this into action? Waymaker helps you go from idea to your first paying customer, with AI doing the heavy lifting alongside you.

See how it works →
Ashley Kays

Ashley Kays

Founder

Founder of Waymaker. BigCo veteran (NCR, Walt Disney World, Wyndham Worldwide) turned solo operator. Building the operating layer above AI building tools.

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