Day Zero of Making an AI Platform for Creating Games. The Origin.
The title of this blog already indicates that it is about building an AI platform for game development. We break it down into a few pieces:
- Is it possible to develop games from text through AI?
- Why do we need easy game creation via AI?
- Conceptualizing the AI platform for game creation
1. Is it possible to develop games from text through AI?
Over the past 3 years, AI has evolved significantly.
Generative AI models have become better at handling large amounts of context, reasoning across it, and remaining coherent over long stretches of work. Furthermore, agentic systems are improving at breaking vague intent into concrete tasks and executing them step by step.
Coding, which used to be a hard gate, is becoming less so. Models are writing cleaner code, understanding intent better, and correcting themselves faster. We’re seeing products like Lovable, Bolt, and others doing a reasonably good job at creating websites and applications end-to-end. Tools like Codex and Claude Code are also pushing deeper into backend workflows.
Putting all of this together with a mindset focused more on creativity and fun than on pure financial output, we see that anyone can start creating games. Quickly.
The answer to whether text-to-game AI is possible is yes.
2. Why do we need easy game creation via AI?
Traditionally, game creation has been one of the most multidisciplinary creative acts. You need to code. You need to design. You need to consider levels, pacing, audio, feedback, difficulty curves, and player psychology. Very few individuals are proficient in all of this, creating a high barrier to entry.
This barrier stops millions of possible creators. We, as humans, have been playing make-believe games ever since we began to speak. We like to make our own games. Whether it’s jumping on steps, the rock-paper-scissors, or even the game of keeping the ball in the air for the most number of catches. We develop rules, mechanics, and difficulty levels for games. This ability should not be stripped away solely because our interactions are digital. We should be able to play games that we invent with the people we like on the spur of the moment in the digital world.
3. Conceptualizing the AI platform for game creation
We can make game creation easy with Generative AI. We make exploration easy and minimize the cost of failure. You can try. You can be bad. You can iterate. If you do it quickly and consistently with the intent to improve, you can be effective.
There should exist a game creation and distribution platform where making a game feels as natural as typing out an idea. Where you can vibe-code a game, not worry too much about whether you’re “doing it right,” and instantly share it with your friends. They don’t need to download SDKs or read docs. They just play.
At the same time, some people don’t want to create. They want to explore. They want to experience others’ creativity. Play games made by their friends. Discover games aligned with their interests. Hang out in a space where games are not just products but expressions.
Creation on one side. Consumption, on the other hand. And a tight loop between the two. This is what an AI platform for game creation should be.
Today is Day 0 for us.
We’re just starting. There’s a website. There’s a very rough, very rudimentary prototype that barely hints at where this could go.
As we build, we want to keep this conversation open. Share what we’re learning. Share what we’re getting wrong. And slowly, together, figure out what it means to live in a world where making games is no longer a privilege of the few, but a playground for many.
