AI Helped You Build the Wrong MVP

A lot of founders are about to waste another six months because AI made it easier to confuse motion with judgment.

They have a product spec. They have a developer. Some of them even have a working prototype. What they don’t have is a clean answer to a basic question: what is this product supposed to do for the first person who touches it?

That answer is usually buried under generated feature lists, swollen roadmap language, and a pitch that leans a little too hard on “AI-powered.” Once that happens, the build starts drifting. More screens. More roles. More logic. More cost. No one wants to admit the product is getting harder to explain, because that would mean the original decisions were soft.

This is the pattern with a lot of non-technical founders. AI didn’t create the underlying problem. It exposed it and then stepped on the gas.

The product sounds smarter than it thinks

The first tell is language.

A founder says they’re building an AI platform for hiring, or an AI copilot for operations, or an AI-enabled workflow tool for service businesses. It sounds polished, fundable. But, it usually falls apart the second you ask what the user is actually trying to get done.

If the product only makes sense when it’s described at the category level, the thinking underneath it is still loose. “AI recruiting platform” is not a product. “Helps internal recruiters screen inbound candidates without spending four hours a day inside Greenhouse” is getting closer. One tells you what trend you want to ride. The other tells someone what pain you intend to remove.

Founders miss this because AI gives them language before it gives them clarity. That’s the dangerous part. Once the copy reads well enough, people stop pressing. The website gets written, the prototype starts taking shape, and nobody stops to ask whether the core use case is actually small enough to test.

That’s how you end up with an MVP that already behaves like a second-year product.

AI is inflating scope faster than you can see it

Tools like Claude, ChatGPT, Lovable, and their cousins will happily produce what looks like a respectable first draft of a product plan.

• Ask for a feature set and you’ll get one.
• Ask for user stories and you’ll get those too.
• Ask for recommended architecture and suddenly you’re staring at a company that assumes time, capital, and operational maturity you do not have.

That output is seductive because it removes the discomfort of deciding.

A real founder decision sounds more like:

• We are serving one kind of user first.
• We are solving one painful problem.
• We are proving one thing in version one.
• Everything else waits.

That kind of decision feels exposed. It forces you to say no, which is vital in early stage dev builds. Generated product thinking does the opposite. It stretchesm adds what should be “maybe later” ideas into “maybe now.” It lets a founder feel ambitious when they’re mostly avoiding the risk of being specific.

Most overbuilt MVPs follow the same script:

• Too many user types in the first release
• Features that belong in month twelve showing up in month two
• Integrations added before the core workflow works
• AI layered onto a product that still hasn’t earned a basic use case
• Analytics, reporting, permissions, and automation included because they “might matter”

None of that is MVP work.

The real problem still doesn’t have a name

When a product feels bloated, the instinct is to fix the build. But here at Coura, we believe the build is just telling the truth: the problem was never fully defined.

Here’s how that sounds in real conversations.

• A founder can explain what the product does, but not what changes in the user’s life after using it.
• They can describe screens, logic, and flows, but not the moment of pain that makes someone reach for the product in the first place.
• They can say they want to save time, increase efficiency, improve decisions, streamline operations. Those phrases are functionally empty. Every unimpressive SaaS company says some version of the same thing.

Useful product thinking gets concrete fast:

• Who is the first user?
• What are they doing now instead of using your product?
• What frustrates them enough that they will actually change behavior?
• What is the smallest useful outcome you can deliver without pretending to solve the entire category?

Founders who skip that work are easy to spot: their roadmap has more detail than their problem statement.

The quickest way to see if your MVP is off

Take your current product and remove the AI language, as a test.

If the product still feels necessary, specific, and a little uncomfortable without the AI wrapper, there may be something there.

If everything collapses the second you take “AI-powered” out of the sentence, you’re looking at a positioning crutch or a mirage. Occasionally both.

Do the same thing to your feature list.

Go line by line and ask:

• Does this help the first user solve the first painful problem?
• Would the product fail its first real test without this?
• Am I keeping this because it matters now, or because I’m afraid to kill it?

Most founders are surprised by how little survives when they’re honest.

A useful MVP is not the tiniest version of your grand vision. It’s the sharpest version of a single assumption you’re willing to test in public.

What to cut first

If you’re already mid-build and it feels off, don’t start by rewriting the whole roadmap. Start with the usual suspects that steal time and focus.

Things at the top of the chopping block:

• Extra user roles that only exist to make the product feel “enterprise”
• Admin complexity for people who aren’t your first buyer
• Integrations that don’t unlock the core workflow
• Reporting for stakeholders who haven’t even heard of you yet
• Recommendation engines before you have enough real usage to justify them
• AI layers added because investors, advisors, or the market expect to see “AI” somewhere

Founders hesitate here because cutting makes the product look smaller.

Good.

It should get smaller. That’s usually the first sign it’s getting better!

A narrow product is easier to explain, easier to test, easier to sell, and easier to build without resenting everyone involved. Broad products feel impressive in private. In public, they’re harder to believe.

Your developer is probably not the villain

When things stall, founders often blame the developer.

Sometimes that’s accurate, but more often than not, they hired a capable person into a foggy decision environment.

A vague founder with a strong developer still gets a vague product. It just gets delivered faster.

If your spec keeps shifting, if scope keeps expanding, if your developer keeps asking what matters most and you answer with a paragraph, the problem sits upstream. The product is doing its best impression of the decisions feeding it.

Before you swap developers, write down four things:

• The exact user you are serving first
• The exact problem you are solving first
• The single workflow the MVP must support
• The condition that tells you version one worked

That’s what gives a developer something solid to build against. Not just trend fluency.

Where AI actually belongs

AI is useful in product work. At this point, that’s not the debate.

It’s great for compressing research, drafting rough copy, spotting patterns in messy notes, summarizing calls, kicking off first-pass messaging, and exploring “what if we tried it this way” without burning a sprint.

It helps you see more options.

1. It should not decide which one you bet the company on.
2. It shouldn’t choose your user.
3. It shouldn’t define your scope.
4. It shouldn’t decide what counts as MVP.
5. It shouldn’t be in charge of anything involving sensitive user data or long-term architecture.
6. It definitely shouldn’t be the reason the product exists.

Founders getting into trouble right now are giving AI the wrong job.

If the build already feels wrong

If you’re reading this with your current product in mind, don’t close the tab and promise you’ll “think about it later.”

Open the spec. Open the prototype. Whatever form your product currently lives in, bring it into view.

Then make three lists:

1. What has to stay because the first user cannot complete the core action without it.
2. What can wait because it belongs to a future version, a future persona, or a future level of intelligence you haven’t earned yet.
3. What needs to go because it was never pulling its weight.

After that, rewrite the product in one sentence without using the words AI, platform, solution, ecosystem, or seamless.

That sentence will tell you more about the health of your MVP than your current roadmap.

If it comes out vague, you’re still building on fog. If it comes out sharp, you finally have something a team can line up behind.

That’s usually when the product starts making sense for you, for your developer, and eventually for the people you actually want to use it.