Most game creators don’t struggle to come up with ideas. They struggle to pick the right one
You probably have a list. Maybe it’s three concepts, maybe it’s twenty-three. The question is: which one is actually worth building, and which one will fall apart in six months?
AI won’t make that decision for you. But it can stress-test your idea before you spend weeks on it. You can get answers to questions like these:
- Is this the right time for this idea?
- What would a real player think?
- Where does this game break down?
- What if this idea could be better?
Let’s go through each one.
1. Is this the right time for this idea?
Before you build anything, you need to know if the market has room for what you’re making. The answer isn’t always obvious, especially when you’re deeply in love with your game concept. Tools like the AI game generator from text can give you a cold read.
What kind of prompts can you use? You can start with something like this:
“Act as a game market analyst. My idea: [describe your game in 2-3 sentences]. Tell me how crowded this genre is right now. Is there a real audience actively looking for this type of game?”
Then take a closer look at your potential competitors:
“List the top 5 games similar to [insert your idea here] and summarize the negative reviews or missing features players commonly complain about.”
This helps you understand who you’re competing with, spot weak points in those games, and make better decisions for your own game.
Finally, one more angle worth trying. Before you put your game in front of real players, think like a player with this prompt:
“Act like a hardcore fan of this genre. Tear this idea [insert your idea here] apart. Why would you not play it?”
Which brings us to the next question: what would happen if someone actually played this?
2. What would a real player think?
AI can do more than tell you if your idea is good. It can walk you through what a real player would feel. What will it be: boredom, delight, or maybe frustration? A quick chat with AI chatbot can help you find out.
Some prompts that work well here:
- “Would this game be fun for the first 10 minutes? Walk me through what a player would feel, step by step.”
- “What would confuse a new player about these mechanics?”
- “Where would the gameplay start to feel repetitive or boring?”
Another approach: ask AI to build out player personas. Give it your concept and ask for two or three distinct profiles with different motivations, play styles, and breaking points. A casual mobile player and a hardcore fan will hit completely different walls in your game. It’s better to know where those walls are now.
3. Where does this game break down?
Every game has weak spots. The goal is to find them in an hour, not six months.
You can start with the gameplay loop, where problems often crop up first. Use this prompt:
“What are three potential friction points or boring phases in this gameplay loop: [insert your idea here]?”
Then zoom out to the player with prompts like these:
- “Why might players quit this game early?”
- “What type of player would hate this game, and why?”
Even if that second question sounds odd, it can be useful. Knowing who won’t play your game can tell you a lot about who will.
Finish with revealing balance issues. They rarely show up early, so ask about them directly:
- “At what point does this game get too easy or too hard for experienced players?”
- “What could make this game feel unfair to players, even if it technically isn’t?”
Quick tip: Run this twice. First with your original description, then with a revised version based on AI’s feedback. The second pass can surface different problems.
4. What if this idea could be better?
Once you’ve stress-tested the original concept, you have enough information to start improving it. This is where AI can become a real collaborator. You can ask something like this:
“Give me 3 improved versions of this game idea [describe your game in 2-3 sentences], each taking a different direction.”
Here’s what that might look like in practice. Take a survival game where you manage a small colony on a dying planet: you gather resources, make hard calls, and keep people alive. It’s a solid concept, but the space can be crowded.
Ask AI for three improved versions. From those three angles, you might get:
1. Flip the perspective. The player doesn’t manage the colony from above, but plays as one of the colonists. Every decision the “system” makes affects their character directly.
2. Shrink the scope. There is no colony—just one family surviving in a single bunker. Fewer variables, higher emotional stakes, much easier to build as a first game.
3. Shift the genre. The same resource scarcity, but in a card game. Each turn the player draws from a shrinking deck: when it runs out, so does time.
And if any of these directions sparks something, you can push further with any of the following prompts:
- “What’s the simplest version of this mechanic that would still feel satisfying?”
- “How would this concept work as a mobile game? What would need to change?”
- “What’s the most surprising genre this idea could work in?”
To Sum Up
Using AI to validate your game idea doesn’t guarantee success. But it can save you from spending months on an idea that was never going to work.
87% of game developers are already using AI agents in their workflows. The earlier you bring AI into your process, the more useful it becomes. All in all, your idea deserves a real stress-test before you commit to it. And now you know how to run one.
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