Lemuny vs. Building It Yourself

You built something real. Let’s find out what it’s missing.

Lemuny builds with AI too. The difference isn’t the tools. It’s the second reviewer and the QA and security gate a solo build doesn’t have.

You got surprisingly far on your own. That’s genuinely worth something, and it’s not nothing that most people don’t get that far at all.

Side By Side

Building it yourself with AI tools Lemuny
Who builds You, working with an AI coding tool. Lemuny, an AI engineering team, working the build end to end.
Who checks the work before launch Usually no one else; you are both the builder and the judge of “done.” A separate QA and security gate before anything ships.
Finding out what’s wrong Often discovered after launch, when something breaks or a user hits it. A written audit report before launch: what’s solid, what’s broken, what’s insecure, ranked by how much it blocks you.
Cost to find out where you stand Free to keep guessing; costly if something breaks in production. $1,500 for the audit alone. Credited toward the $4,500 rescue if you go ahead.
Fixing what’s found On you, and on whatever time you have left. The rescue fixes the top 5 launch-blocking issues, then retests every one so you’re not taking anyone’s word for it.

What you built is real

If you got an app working with AI tools, you did something that takes real judgment: picking the right prompts, catching obvious mistakes, pushing through the parts that didn’t work the first time. That effort doesn’t disappear because a professional eye might find gaps in it. This page isn’t here to tell you that you did it wrong. It’s here to tell you what a second pair of eyes tends to find, and what it costs to know for certain.

The honest gap

Lemuny’s own process runs on AI too, so the difference here isn’t “AI versus no AI.” It’s what happens after the AI writes the code. When you build solo, you are the only reviewer: the same judgment that wrote the code is the judgment deciding it’s ready. Lemuny’s builds go through a separate QA and security gate before they reach a client, run by roles whose whole job is to find what the builder missed.

That gap doesn’t always matter. Plenty of AI-assisted builds work fine and stay fine. But some patterns show up often enough to be worth knowing about, illustrated below, not as a prediction of what your build has, but as examples of what an unreviewed build can miss.

Illustrative examples. Not a finding about your specific app, and not a claim that every AI-built app has these issues.

  • An API key left sitting in frontend code, readable by anyone who looks, instead of kept server-side.
  • A booking or ordering flow that works fine solo in testing but breaks the first time two people use it at the same moment.

These are common shapes of problems that show up in unreviewed builds. They may not apply to yours. The only way to know for certain is to have someone else look.

The $1,500 way to find out

You don’t have to commit to a full rescue to get a straight answer. The audit alone is $1,500, paid upfront, and it gets you a written report within 5 business days of getting access to the code: what’s solid, what’s broken, what’s insecure, ranked by how badly it blocks your launch. If you decide to go ahead with the full rescue afterward, that $1,500 is credited against the $4,500 price. If you decide not to, you still have the report, and you still get to make your own call with real information instead of a guess.

Get a straight answer on where you stand.

If you built something with AI tools and want to know what a second reviewer would find before real users do, reply and tell us about it. We’ll tell you plainly what we see, and if there’s nothing worth worrying about, we’ll say that too.

Get in touch at summerfieldtech.com

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