AI Accelerated the Build. It Didn't Replace the Judgment.

miloshhhhhh — Mon, 25 May 2026 09:07:00 +0000

By Milos - Big Data Engineer, Big Tech. Founder of OriginRound | @originround and The Liquid SaaS Framework
Why the SaaS opportunity didn't disappear - it just moved up the complexity curve

Everyone is screaming that SaaS is dead. That AI killed it. That there's no point building software products anymore because ChatGPT or Claude or the next thing will just generate whatever your users need on demand.

They're wrong. But they're wrong in an interesting way - and understanding why they're wrong is probably the most important strategic insight available to builders right now.

SaaS isn't dying. It's being stratified. And the floor just got a lot more crowded.

The Vibe Coding Wave Is Real - And It Only Solves Part of the Problem

Let's be honest about what AI can actually do today. It can build a landing page that converts. It can scaffold a CRUD application in an afternoon. It can wire up Stripe, set up authentication, generate a dashboard with charts, and deploy it - all before lunch.

This is genuinely incredible. A year ago that would have taken a junior developer two weeks.

But here's what nobody is saying clearly: all of that lives in the bottom third of the complexity curve. The 0-to-3 zone. The stuff that was already commoditized, already template-driven, already the kind of work that senior engineers didn't want to do anyway.

AI didn't kill the SaaS market. It automated the easy parts of it. And in doing so, it didn't destroy opportunity - it relocated it.

The Complexity Stack Nobody Is Talking About

Think of software complexity on a scale from 0 to 10. Not in terms of lines of code, but in terms of judgment required to get it right.

Level 0-3: The Vibe Zone

This is where vibe-coding lives. Simple automations(Example: Reddit Post Monitoring). Basic SaaS dashboards. Internal tools. Landing pages. Apps that display data, take input, and store it somewhere.

AI handles this almost entirely on its own. You can prompt your way through it. The barrier to entry is essentially zero, which means the market value is trending toward zero too. A thousand builders are shipping the same todo app with a slightly different color scheme and calling it a product.

If you're competing here, you're not building a business. You're participating in a race to the bottom.

Level 4-6: The Execution Gap

This is where things get interesting. Multi-tenant SaaS architecture. Complex permission systems. Billing logic that handles edge cases. Integrations that need to stay in sync across systems. Real-time features that fail in subtle ways under load.

AI can assist heavily here - but it can't drive. You need someone with engineering judgment to orchestrate what the AI produces, spot the mistakes it makes with confidence, and understand why a solution that looks right is actually a liability waiting to happen.

This is where most serious indie builders are competing right now. It's crowded but not commoditized. There's still real differentiation available.

Level 7-9: The Logic Ceiling

This is the zone that most people don't talk about because most people haven't built there.

Domain-specific rule engines. Compliance and regulatory logic. Real-time systems with complex state. Algorithms that have to be correct not just most of the time, but always - because the cost of being wrong is measured in money, legal exposure, or someone's livelihood.

This is where vibe-coding fully breaks.

Not because the AI generates bad code - it often generates code that looks perfectly reasonable. It breaks because the gap between "it runs" and "it's correct" is invisible until it fails expensively. The AI doesn't know what it doesn't know. It doesn't understand the edge case your domain has that isn't documented anywhere online. It doesn't know that the regulation changed in Q3. It doesn't know that your users will find the one sequence of actions that produces an inconsistent state.

That knowledge isn't in any training dataset. It lives in your head, in your industry, in years of watching a specific problem fail in specific ways.

Level 10: The Own Game

Proprietary algorithms. Network-effect infrastructure. Data moats built over years of accumulation. This tier defines categories, not just products. AI is a tool here, not a builder. You don't vibe-code your way into a market-defining platform.

The Strategic Insight

Here's the thesis stated plainly:

The builders who understand where the complexity ceiling is will move up while everyone else fights for scraps at the bottom.

The 0-3 market is not a market anymore. It's a feature of every AI coding assistant. Bolt, v0, Cursor - these tools are absorbing that entire tier. You don't win by building there any more than you win by manually typing HTML tables.

The 7-9 tier is structurally underserved. It's too hard for vibe-coders. It's too niche for the large players who need big TAMs to justify engineering investment. It requires domain knowledge that can't be prompted into existence.

And that's exactly where the opportunity is.

Domain Expertise Is the New Unfair Advantage

This is the part that most people get backwards.

The narrative is that coding ability is being commoditized, so you need to become a better coder to compete. Wrong direction. What's actually happening is that generic coding knowledge is being commoditized. The ability to write a for-loop, structure a database schema, build an API endpoint - AI can do all of that well enough.

What AI cannot do is tell you what logic to encode in the first place.

If you've spent eight years in logistics, you know things about how warehouses actually work that aren't in any documentation. You know the edge cases. You know why the system everyone uses is frustrating in a specific way that the vendors have never bothered to fix. You know what "correct" actually looks like for that problem.

That knowledge - combined with the ability to use AI to build faster than ever before - is a genuinely unfair advantage. You're not competing on coding speed. You're competing on knowing what to build and why it has to work a specific way that a generalist would never figure out on their own.

What This Means for Builders Right Now

Stop building in the vibe zone. If someone can prompt their way to your product, your product doesn't have a moat. Move up the stack.

Find the judgment-heavy problems in industries you actually understand. The best SaaS companies of the next decade will be built by people who had deep domain knowledge first and coding ability second - not the other way around.

Use AI to accelerate, not to substitute for thinking. The builders winning right now aren't the ones who can prompt the hardest. They're the ones who know when the AI's output is wrong, why it's wrong, and what correct actually looks like. That discrimination requires judgment. Judgment requires experience.

The logic ceiling is your friend. Every place where vibe-coding breaks is a place where your expertise creates a defensible position. Those aren't obstacles - they're moats in disguise.

The Bottom Line

AI didn't kill SaaS. It filtered it.

The bottom of the complexity curve is now a commodity. The top of the curve is more valuable than it has ever been - because the distance between where AI can take you and where the product actually needs to go is now entirely a function of human judgment.

The opportunity didn't disappear. It just moved somewhere that requires you to have actually done the work.

Build there.

If this resonated, I'm writing more about where real leverage exists in the AI-accelerated era of software. Follow along.
I write about where real leverage exists in the AI-accelerated era of software - from someone who builds at the complexity ceiling daily.
I'm building OriginRound on exactly these principles. Follow the journey on X: @originround
and The Liquid SaaS Framework*

Why Your SaaS Pricing Page Needs an Upgrade (And How to Keep 100% of Your Revenue)

miloshhhhhh — Mon, 20 Apr 2026 15:19:33 +0000

If your business has a pricing page, you already know the hardest part of building a product isn't writing the code-it's keeping the money you actually earn. Between app store taxes taking 30% and launch platforms demanding huge cuts for toxic lifetime deals, the system is stacked against builders.

We decided it was time to rethink the model from the ground up.

If you want to completely control your monetization and grow your user base without giving away your margins, here is how OriginRound changes the game for your SaaS:

0% Platform Fees: You connect your own Stripe keys and process direct sales. We never touch your money, so you keep exactly what you earn.

A Built-in Secondary Market: Say hello to organic sales. We allow buyers to resell unused passes or transfer active subscriptions to new owners. This incentivizes a massive network of resellers to promote your product for you, bringing in net-new users.

Create Flexible Deals: Stop relying on the LTD graveyard. Set up automated intro discounts and programmable deals to build healthy, sustainable MRR on your terms.

Gain Early Users & Visibility: Our built-in discovery engine is designed to get your product seen, helping you appear in AI search as an organic recommendation to highly targeted buyers.

Bulletproof Promo Codes: We solved the industrial problem of promo code abuse and tracking by utilizing public reference IDs to seamlessly validate deals.

It is time to build infrastructure that founders actually control.

[Set up your zero-fee checkout infrastructure with OriginRound today.]

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