I Built Neon Tower with AI. The Game Worked Before the Business Did.

 

Short version: I wanted to see whether AI could help me turn a game idea into a real mobile product. Neon Tower was one of the first serious attempts. The tower went up. My expenses went up faster.

The idea was simple

Stack pieces, keep the tower alive, and beat your best score. Simple games are not simple to finish. The player sees a few buttons. The developer sees a small pile of bugs wearing a trench coat.

What I actually had to build

• The game screen and score system
• Best-score storage so progress survives a restart
• Game-over and restart flows
• Mobile packaging for Android and iOS
• Ad and purchase paths that do not break the game
• A separate build path for Apps in Toss

The last two items are where the “quick AI app” fantasy usually meets reality. A game can run perfectly in a browser and still fail when it enters a store shell, a native ad SDK, or a different mobile lifecycle.

The problems that slowed me down

1. One game, several environments

Neon Tower had to behave differently on the web, inside a mobile wrapper, and in Apps in Toss. I ended up separating the environment checks from the game loop. The game should keep playing even when an ad service is unavailable. That rule saved more time than another clever animation ever would.

2. Ads are not a magic money button

I added banner and rewarded-ad paths, but ads must load, show, close, and reward the player in the correct order. If the reward is granted when the ad merely opens, the economy becomes a tiny digital bank robbery. The safe rule is: give the reward only after the completion callback.

3. Purchases need a boring failure path

Purchase screens need cancellation, loading, restore, and error states. “Payment successful” cannot mean “the button was tapped.” Real store billing and test billing also behave differently, so release checks matter.

The money question

Before earning anything, money already left the room: store registration fees, coding tools, AI subscriptions, testing time, and ad experiments. The uncomfortable question was not “Can AI make an app?” It was “Can this app earn back the cost of making it?”

That is why I am documenting the process. A download is nice. A returning player is better. A player who chooses a rewarded ad or buys a useful upgrade is the part that turns a project into a business.

What I improved

1. Kept the core game playable without ads.
2. Made rewarded ads optional instead of blocking progress.
3. Added safe fallbacks when ad APIs are unavailable.
4. Separated store and platform checks from the game logic.
5. Tested release behavior instead of trusting a browser preview.

What I learned

AI can remove a lot of typing. It does not remove product decisions, store rules, testing, or the awkward moment when the budget spreadsheet looks more successful than the app.

Neon Tower was not a guaranteed-income machine. It was the first real experiment in building a repeatable path from idea → game → store → monetization. The next experiments became more ambitious, and the mistakes became more expensive—but at least they became useful.

Next: Neon Bricks, where “just make a brick breaker” turned into a lesson about physics, difficulty, and why one extra feature is never just one extra feature.

Disclosure: This post describes my own development work. It is not financial advice and does not promise app income.

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