Creating video games with artificial intelligence is no longer the domain of a few studios; today, you can create a prototype in minutes or prepare educational games ready for the classroom with a clear prompt. The key is to combine clear ideas with the right tools, from ChatGPT or Copilot type assistants to specialized platforms such as Rosebud AI, Wayground or Educaplay.
In this guide you will find a practical overview: what you should keep in mind before starting, two quick methods to generate games with AI assistants (with and without code), a list of services that integrate AI, how to get the most out of Rosebud AI for express projects, Eight AI game generators for different stages of development, and a straightforward introduction to using Unity with ML Agents in educational projects. You'll also learn how to record and share your gameplay with powerful capture solutions.
Before you start: Fundamentals that make a difference
Before thinking about buttons and screens, it's a good idea to clearly define the purpose of the game. Set the learning or experience objective: what skill do you want to work on, whether the focus will be on memorizing content or applying it, and what result do you expect from the person playing.
Context matters: What age group is it aimed at? How long will it be played? On what devices? Determine audience, duration and environment (PC, mobile, classroom with projector, individual or team work), because this affects mechanics and presentation.
Next, choose the type of game. You can go with the classic quizzes, team trivia, challenges like wheel of fortune or pass the word, or invent new dynamics. Think about experience and pace: rounds, turns, time per question, speed bonus and whether there will be retries.
Define the scoring system from the very beginning. For example, if you get it right on the first try, you get 100 points; if you get it right on the second try, you get 50; if you miss, you get zero, and you move on to the next try. The more explicit the rules, the better the AI responds by generating structure and feedback for the player.
Test everything before releasing it in class or presenting it to your team. AI is fast-paced, but it's not infallible: it can invent data or mix up concepts. Review questions, answers, and mechanics with a critical eye. to avoid errors and friction in the session.
Privacy first. Avoid including names and personal information about students or your team when using assistants. Prompts should be anonymous, because the content may be processed and stored on third-party servers.
Generate a complete game by asking your AI for code
A very quick way is to ask your assistant (ChatGPT, Copilot, Gemini, Claude or similar) to write a game for you directly in HTML/JS. HTML is ideal because it minimizes errors and works in any browser., even offline if you save the file locally.
The dynamics are simple: you explain to the AI that you want the code for a trivia game (or whatever genre you prefer), detailing the audience's age, theme, number of questions, options per question, and scores, and in seconds you'll have something playable. Then you copy, paste and test, adjusting details if you need to.
An example prompt (modify it to your liking): The precision of the order is what determines the finish.
"I want the HTML, CSS, and JavaScript code for a two-team trivia game with 20 questions per team on music history for elementary school students. Each question will have four options and only one correct answer. If the team gets the question right on the first answer, they get 100 points; if they get it wrong, they get a second chance to get 50; if they get it wrong again, they pass the game. The game will advance question by question, displaying both teams' scores and a button to continue to the next question."
Note that in the prompt you have described recipients, subject matter, structure, turns, and punctuation. The more complete the mechanics you specify, the less you will have to edit. then the result generated by the AI.
After generation, the chat itself typically offers a button to run the code in a viewer. There you can validate flow, interface bugs, and game pacing. Another option is to ask the game to load your own questions from an array., pasting your list to ensure content quality.
Let AI be the real-time presenter
If you don't want to program anything, you can also use the AI as the "master of ceremonies." You assign it the role of host, define rules and turns, and play within the chat itself. The only requirement is to keep the game in a single thread. to preserve the session state.
A typical prompt for a turn-based guessing game might be this (adapt it to your classroom, ages, and subjects): notice how the flow is explained to avoid ambiguity.
"From now on, act as the host of a two-team game. Think of a word related to a subject (starting with Math) and offer a clue each time you turn. Ask Team A first, and if they get it wrong, Team B. Whoever gets it right wins 50 points, and we move on to another word. Set the difficulty for ages 14 and up. Keep track of points and confirm who answers each time."
This method shines when you want to improvise, calculate, play guessing games, or set up small conversational adventures or escape rooms. The limitation is that everything happens by text, but in return you save code and deployments.
AI-powered platforms to gamify learning
In addition to general chats, there are services with templates and wizards that greatly speed up the creation of educational games. Here you have a varied selection with free plans (some with limited AI in free):
- Wayground: Designed for teachers, it allows you to create lessons, quizzes, and game modes with AI to generate questions and ideas. Includes flow to gamify and collaborate (wayground.com).
- educaplay: Huge catalog of multiple-choice activities, word search, memory, matching, and more, with AI assistant “Ray” to speed up content (limited use on free accounts). Very easy to get started (es.educaplay.com).
- Kahoot!: A social platform for live and pre-recorded quizzes. It offers AI in paid plans, even with a free account for creating quizzes. Ideal for competing in class (kahoot.com).
- awesomelyFrom presentations to escape rooms and interactive games. Integrate AI to accelerate material creation. Versatile and visual (genially.com).
- Tinytap: aimed at the little ones, it prioritizes visual questions and on-screen touches with AI to generate activities. Perfect for tablets (tinytap.com).
- Wordwall: : templates for quizzes, roulette, matching, etc. Free plan, but AI support in paid plan (approx. €5/month). Huge catalog of formats (wordwall.net).
- Quizalize: Create quizzes with classroom game modes, AI support, and a free plan. Guide learning with data (quizalize.com).
If you're interested in getting started right away, there are two very simple flows that will save you time. First, with Educaplay and his assistant to write questions.
Create a game with Educaplay step by step
Go in and click "Create." You'll see the activity catalog and an "AI" icon for those that support assisted generation. Describe the subject, course, and any requirements (number of questions, level, style) and let the assistant propose the initial content.
Once the database is generated, review and edit the questions and answers. Human validation is essential to correct inaccuracies and adapt the tone to the group.
Generate questions with Wayground in minutes
Sign up with your teacher profile and open the "Wayground AI" option. You can create an activity from a YouTube video, a document, a worksheet, a web page, or from the platform's databases. Choose the source and paste the URL or upload the file for the AI to propose the questions.
Set the subject, grade, and number of questions, and click "Generate Exam." In seconds, you'll have a set ready to use or adapt. It's a great way to turn existing resources into playable activities. without starting from scratch.
Express gaming with Rosebud AI
Rosebud AI allows you to type a prompt and receive a basic, functional video game in seconds. The free version imposes weekly prompt limits and does not enable code downloads., while the paid plan unlocks advanced tools and full access to the project.
To get decent results, the secret lies in a well-defined prompt. If you want a retro 8- or 16-bit-style platformer, specify the protagonists, enemies, world, mechanics, and aesthetics. The AI synthesizes that information into scenarios, skills, objectives, and progression., generating something playable that you can then iterate on.
The platform allows you to detail power-ups, enemy types, special mechanics (projectiles, moving platforms), bosses with unique abilities, and scoring systems. You can even request basic physics or a pixel art look. to capture a classic style.
A nice example: request a retro hero wearing VR headsets and a cyan-blue suit who runs, jumps, and throws "code balls"; specify WASD and Z controls for actions. The clearer the command, the more natural the prototype feels. when trying it.
Beyond its usefulness, Rosebud AI illustrates an industry debate. A clip of a medieval game generated entirely by AI recently went viral; it wasn't a real game, but it sparked the public's imagination and generated suspicion among parts of the development community. While some saw it as unfair competition, others rode the wave. to teach the value of human craftsmanship and promote their projects.
The incontestable thing was the visual impact: a mix of pixel art and 3D with a great sense of scale, monumental castles and routes that invite you to explore. With limited resources, achieving that atmosphere is not always easy., and AI opens up avenues for unique styles without large artistic teams.
A reality also emerges: pixel art, once a technical showcase, is often used today due to costs and the availability of reusable resources. AI introduces a way to generate distinctive art here. without the need for generic templates, accelerating visual customization.
Eight AI tools you should know about
If you already work with engines like Unity or Godot, or if you come from a technical art background and lack the time to program, these solutions can fit into different points in the pipeline. We summarize them with their strengths for ideation, art, characters, assets and prototyping..
Ludo.ai
Ludo combines AI-assisted research and creativity to accelerate ideation and design. Generates concepts, visual elements and supports with market analysis to identify trends and positioning.
- Ideation with AI: game concepts, mechanics, references, and visual aids.
- Market data dashboards to monitor trends and potential performance.
- AI assistant for productivity and collaboration, with PDF sharing options.
Leonardo.ai
High-quality artistic asset generation platform with pre-trained models and LoRA. Excellent for producing consistent art from prompts or trained styles.
- Pre-trained models that you can adapt to your reference (10–20 images).
- AI canvas with editing, erasing, and fine-tuning details.
- Elements with LoRA to expand styles and creative possibilities.
Inworld AI
Specialized in NPCs with natural personality, thought, and dialogue supported by LLM. Integrates character brain with emotions and behaviors for credible interactions.
- “Fourth wall” for realistic and contextual responses.
- Contextual mesh: knowledge and narrative control by character.
- Expressions, voice and animations with a broad emotional palette.
Charisma.ai
Creating conversational characters and interactive narratives. Add human voices and emotions, and write without complex syntax using natural commands.
- Interactive narratives and script tools to give coherence to scenes.
- Human voices integrated to bring the story to life.
- AI-powered scripting tools for dialogue and scenes.
- Managing emotions and reactions to player actions.
Meshy AI
Generation of 2D/3D assets from text or images in very short times. Ideal for prototypes that need quick characters, props or scenarios.
- Turn references into models in less than 15 minutes.
- Integrated resource library to speed up compositions.
- Automatic enhancement and texturing in approximately 3 minutes.
gptgame
Allows you to create a game from a prompt and play it instantly, without writing code.. Uses GPT technology for quick customizations and low-budget prototypes.
- Simple interface, suitable for people with little technical experience.
- Pre-installed games and on-the-fly generation from natural language.
- The AI takes care of the code, and you take care of the rules and aesthetics.
Rosebud AI
In addition to prompt game generation, it offers deep character customization, pre-generated assets, and background editing. It serves both for prototyping and for exploring styles..
- Modify outfits, traits, and actions of protagonists and NPCs.
- Adjust expressions and behaviors to improve participation.
- Visual novel feature to turn stories into playable scenes.
Screenwriting
Generate characters, scenes, and assets with custom AI trainers and API integration. Perfect for pipelines that require visual consistency and granular control.
- Train a model with your references and generate from text or images.
- Wide range of styles: Anime, realism, avatars and more.
- Advanced controls: facial expressions, clothing, seasons, and setting.
Record your games and demos with the help of AI
Whether you're teaching your games or evaluating activities, a good recorder makes all the difference. Wondershare DemoCreator lets you capture screen, audio, and webcam images, adding chroma key effects, zoom, and transitions. Includes AI facial recognition for live broadcasts and works with most USB webcams and microphones.
It also offers AI-controlled virtual avatars for those who don't want to be on camera, recording up to 4K at 120 fps, AI noise reduction and voice changer. Its library with more than 10.000 video packages speed up editing and publishing your gameplay.
AI in the Classroom with Unity and ML Agents: A Practical Guide
Creating games with AI is a fantastic learning activity for developing design, programming, and problem-solving skills. With ML Agents in Unity, you can train agents that learn from the environment and adjust their behavior. This way, students see live how the AI adapts the challenge to the player. and make decisions like an advanced NPC would.
Among the benefits: interactivity that scales with skill, autonomy in NPCs that react to player actions, basic machine learning to explore advanced concepts, and accessibility, because Unity and Godot allow you to start simple and scale up. as the group advances.
Recommended first steps: select your platform (Unity with ML-Agents or Godot), define your genre (action, adventure, puzzle), and your project goals. Decide what role AI will play: enemies that scale in difficulty, allies that guide, or systems that adapt to the level.
Quick tutorial: Install Unity and ML-Agents, set up a test scenario with obstacles, add agents with sensors and rewards (e.g., reaching the goal or avoiding collisions), and start training. Iterate parameters and observe learning and performance curves until a convincing behavior is achieved.
Classroom tips: Start with very simple projects, encourage experimentation with different hyperparameters, and, once the group is loose, introduce more complex neural networks and environments. The goal is for them to understand the reason for each adjustment. and how it impacts the game.
For those coming from technical art and using Unity without time to program everything, combining ML-Agents with assistants like ChatGPT or Copilot is a blessing: you can ask for C# snippets, configure behaviors and Create prototypes faster with well-thought-out prompts which you then adjust by hand.
Putting all of the above together, today it's possible to create everything from a gamified quiz for elementary school to a retro platformer with AI-assisted final bosses. If you define objectives, take care of privacy and review the generated content, you'll be taking advantage of the best of these tools without sacrificing quality or creative control.
