Back to Catalog

Build a Text-Based RPG by CrewAI Multi-Agent System & Gradio

AdvancedGuided Project

Learn to build a festive text-based RPG using an AI Multi-Agent System (MAS) through CrewAI workflow, Large Language Models (LLMs) and Gradio. Immerse yourself in dynamic dialogues and evolving narratives with Christmas-themed characters brought to life by advanced AI. This project is perfect for developers eager to explore AI's potential in interactive storytelling, without the technical hurdles. By the end, you'll have a captivating holiday game that showcases the future of AI in gaming.

4.5 (27 Reviews)

Language

  • English

Topic

  • Artificial Intelligence

Enrollment Count

  • 246

Skills You Will Learn

  • Multi-Agent System, AI Agent, CrewAI, LLM, Generative AI, Artificial Intelligence

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 60 minutes

Platform

  • SkillsNetwork

Last Update

  • December 14, 2025
About this Guided Project

Unlock the Power of CrewAI for Game Development

What if creating interactive, AI-driven games was as dynamic and collaborative as the gameplay itself? With AI Multi-Agent Systems (MAS) powered by CrewAI, you can focus on creativity while delegating complex tasks—coding, reviewing, and testing—to intelligent agents. CrewAI streamlines workflows, enabling you to build innovative applications and solve real-world problems through the power of AI and automation

In this tutorial, you’ll use CrewAI to create a text-based RPG game. This isn’t just about developing a game, it’s about exploring how AI-powered storytelling and collaborative tools like CrewAI can revolutionize project workflows in game development and beyond. Whether you're simulating real-world decision-making scenarios, training interactive bots, or crafting dynamic narratives, this hands-on project introduces you to the core concepts of building AI-integrated experiences.

Tools & Skills You'll Learn:

  • CrewAI Multi-Agent System (MAS): Understand how to set up and manage intelligent agents to handle tasks like coding, reviewing, and testing in game development.
  • Large Language Models (LLMs): Leverage advanced AI models to create engaging dialogues and dynamic narratives.
  • AI-Powered Storytelling: Learn techniques to build immersive, character-driven stories powered by AI.
  • Gradio Framework: Use Gradio to create user-friendly interfaces, enabling seamless interaction with AI components.
  • Collaborative Development with AI: Explore how AI agents can streamline workflows and enhance productivity.
  • Project-Based Learning: Gain hands-on experience by building a real-world AI-integrated text-based RPG game. AI GameBuilderCrew

Who should complete this project?

This project is designed to appeal to a wide range of individuals with different interests and goals. If any of the following describes you, this tutorial is for you:
  • Intermediate Developers Looking to Explore AI in Gaming:
    If you’re already familiar with Python programming and want to learn how to incorporate AI-driven tools like CrewAI and LLMs into creative projects, this hands-on tutorial is a perfect starting point.

  • Aspiring Game Developers:
    Are you curious about how branching storylines and player choices shape RPG games? This project walks you through the process of creating a text-based game, providing valuable insight into narrative game design and the integration of AI-driven elements.

  • AI Enthusiasts and Data Scientists:
    If you’re interested in exploring how large language models (LLMs) can enhance storytelling, character interactions, and decision-making in applications, this project gives you a fun, practical way to experiment.

  • Software Engineers Interested in Workflow Automation:
    Want to learn how AI tools like CrewAI can streamline workflows? This project demonstrates how you can automate coding, reviewing, and testing tasks, which can be applied to a variety of software development scenarios.

  • Creative Developers and Writers:
    If you have a passion for storytelling but lack technical experience in building interactive applications, this project introduces you to beginner-friendly tools like Gradio that make your ideas come to life with minimal barriers.

  • Professionals Exploring Real-World Applications of AI:
    Whether you’re building games, designing simulations, or experimenting with AI in a business context, this project shows how AI-driven workflows and narrative tools can create engaging, impactful user experiences. A sneak peek at the final game


What you'll learn 

By the end of this tutorial, you will:
  • Understand how to use CrewAI to automate and streamline tasks, from coding to evaluation with multiagent workflows.
  • Gain experience working with large language models (LLMs) to generate dynamic dialogue and branching storylines.
  • Develop a text-based RPG with a Gradio-powered interface, making your game interactive and user-friendly.
  • Explore strategies for integrating AI tools to enhance storytelling and user engagement in game development.

What you'll need 

Before diving into this project, make sure you have the following:
  • A solid understanding of Python programming and Generative AI.
  • Familiarity with Python packages like Gradio and working with APIs.
  • Most importantly: Enthusiasm and willingness to learn!

Ready to bring your ideas to life? Dive into this hands-on project to discover how CrewAI and LLMs can transform the way you build games, create dynamic narratives, and solve real-world problems. Whether you're a developer, a storyteller, or simply curious about AI-driven tools, this tutorial will empower you to craft engaging experiences with ease.

Don’t wait—unlock the power of AI-assisted development today and take the first step toward creating something truly innovative. Click Enroll Now and let’s build your next big idea! 🚀

Instructors

Hailey Quach

Data Scientist

Hi, I'm Hailey. I enjoy teaching others to build creative and impactful AI projects. By day, I’m a Data Scientist at IBM; by night, an Honors BSc student at Concordia University in Montreal, always exploring new ways to combine learning with innovation.

Read more

Contributors

Karan Goswami

Data Scientist at IBM

I am a dedicated Data Scientist and an AI enthusiast, currently working at IBM's Skills Builder Network. Learning how some simple mathematical operations could be used to make predictions and discover patterns sparked my curiosity, leading me to explore the exciting world of AI. Over the years, I’ve gained hands-on experience in building scalable AI solutions, fine-tuning models, and extracting meaningful insights from complex datasets. I'm driven by a desire to apply these skills to solve real-world problems and make a meaningful impact through AI.

Read more

Boyun Leung

UX Designer

Creating and designing delightful experiences.

Read more

Ricky Shi

Data Scientist at IBM

Ricky Shi is a Data Scientist at IBM, specializing in deep learning, computer vision, and Large Language Models. He applies advanced machine learning and generative AI techniques to solve complex challenges across various sectors. As an enthusiastic mentor, Ricky is committed to helping colleagues and peers master technical intricacies and drive innovation.

Read more