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ItsMadeByDani
ItsMadeByDani

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I Abused AI to Build Products. Here’s What It Cost Me.

Don’t Abuse AI

When I opened my business, I had a question I couldn’t ignore:

Is it really possible to build a full product using only AI?

Not “AI-assisted.”

Not “AI helped here and there.”

I mean everything — code, UI, logo — all AI.

The only human parts would be the idea and testing.

So I decided to test it the hard way.


The Experiment

I started with an old mobile game idea I had called Flagora — a simple flag-guessing game.

I forced myself into strict rules:

  • All development was done using AI only (I used Augment with its $50/month subscription)
  • No manual coding. No “I’ll just fix this myself.”
  • The logo was AI-generated (ChatGPT Plus)
  • The only thing I did manually was testing and providing the idea

I did this on purpose. I wanted to know the real limits.

What did I get?

  • A working flag game
  • Built nicely
  • Looked like success

But that feeling didn’t last long.


The First Real Cost: Credits

Building even a simple app consumes a shocking amount of credits.

  • Tiny UI change? Credits.
  • Want to refactor logic? Credits.
  • Fixing something you didn’t ask to be changed? Credits.

And credits are not cheap.

I realized very quickly that:

AI feels fast — but it’s expensive fast.

You’re paying for every mistake.

Including mistakes the AI makes on its own.


The Bigger Problem: Dependency

This was the part that actually scared me.

When AI writes thousands of lines of code, and your only involvement is:

“Yep, looks good.”

You don’t really understand your own codebase.

So when a small logic bug appeared, I thought:

“No problem. I’m a developer. I’ll fix it myself.”

I opened the code.

And I was completely lost.

The AI had:

  • Over-engineered simple logic
  • Abstracted things unnecessarily
  • Split responsibilities in ways I would never choose

Finding where to fix the bug was harder than fixing the bug itself.

And worse — I was out of credits.

That’s when it hit me:

I had built something I couldn’t maintain without AI.

Yes, I felt productive.

Yes, the app was built quickly.

But the price of dependency wasn’t worth it.


It Wasn’t Just One Tool

This isn’t about Augment specifically.

I tried the same approach with:

  • Web apps
  • Other AI tools (including Cursor)

Same pattern every time:

  • Fast initial progress
  • Hidden complexity
  • Painful maintenance
  • Expensive iteration

AI doesn’t just write code.

It writes its way of code.

If you don’t control that early, you inherit chaos later.


The Lesson: Where AI Actually Helps

Here’s what I learned the hard way.

AI is amazing for:

  • UI
  • CSS
  • Layout
  • Design systems
  • Boilerplate
  • Scaffolding

AI is dangerous for:

  • Core logic
  • Architecture decisions
  • Backend integrations
  • Business rules
  • Anything you’ll need to debug at 2 AM

If you let AI own your logic, you lose ownership of your product.


The Rule System I Built Afterward

After this experience, I changed how I work completely.

Every new idea now goes through a planning document before execution.

One of the most important sections is AI usage rules.

For Augment specifically, my rules are simple and strict:

  • ❌ Augment is NOT allowed to change existing logic
  • ❌ Augment is NOT allowed to write backend code
  • ❌ Augment is NOT allowed to refactor without permission
  • ✅ Augment MAY work on UI
  • ✅ Augment MAY scaffold backend functions (without implementation)
  • ✅ Augment MUST ask before every change

Why?

Because I wasted too many credits fixing things I never asked to be changed.


My Current Workflow (That Actually Works)

  1. Generate the product structure using tools like Base44

    • In my preferred language (TypeScript)
    • With most UI and structure ready
  2. Export the project into Augment

  3. Use Augment only to:

    • Understand the UI
    • Suggest backend functions
    • Describe what needs to be implemented
  4. I write all the logic myself

    • Backend
    • Integrations
    • Business rules

This way:

  • AI supports my weak spots
  • I control the core
  • I can debug without burning credits
  • I actually understand my own product

Final Takeaway

You should definitely use AI — but don’t abuse it.

It’s incredibly easy to fall into the trap of thinking you’re being more efficient with AI.

And before you realize it:

  • You don’t understand your code
  • You can’t fix bugs without credits
  • You’re dependent on a tool instead of empowered by it

If you’re a developer, protect your skills.

Make sure every project includes parts only you write.

Because the scariest part isn’t that AI can write code faster than you —

it’s how quickly you stop being able to.

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