In recent years, artificial intelligence has moved beyond simple rule-based systems and has reached the level of creating agentic artificial intelligence systems capable of acting independently, making decisions, and pursuing defined goals. Within the framework of this project, students of the RI-223 group of the Department of Digital Economy and Information Technologies of the Faculty of Economics studied how such agentic artificial intelligence systems can be designed and implemented in practice. The students did not limit themselves to theoretical knowledge only, but focused on creating and testing agents capable of planning actions, adapting to changing conditions, and operating independently to a certain extent.

The main purpose of this report is to present the experience gained during the collective development of agentic artificial intelligence systems. It analyzes how students approached the assigned tasks, how responsibilities were distributed, and how challenges that arose during the development process were addressed. In addition, the report highlights the educational outcomes achieved through the project, particularly a deeper understanding of agentic artificial intelligence concepts, as well as the development of practical, analytical, and collaborative skills.

Each student developed a unique idea and agent. Although some agents had similar themes, all created agentic artificial intelligence systems have practical value for both users and developers. Working on individual agentic artificial intelligence projects became an important and effective experience for RI-223 students both technically and personally. Students independently designed autonomous agents, defined clear goals, made decisions, and addressed issues related to adaptability and system efficiency. This practical experience helped them gain a deeper understanding of how agentic artificial intelligence differs from traditional AI models and to recognize the potential applications of such systems in real-world domains.

In recent years, artificial intelligence has moved beyond simple rule-based systems and has reached the level of creating agentic artificial intelligence systems capable of acting independently, making decisions, and pursuing defined goals. Within the framework of this project, students of the RI-223 group of the Department of Digital Economy and Information Technologies of the Faculty of Economics studied how such agentic artificial intelligence systems can be designed and implemented in practice. The students did not limit themselves to theoretical knowledge only, but focused on creating and testing agents capable of planning actions, adapting to changing conditions, and operating independently to a certain extent.

The main purpose of this report is to present the experience gained during the collective development of agentic artificial intelligence systems. It analyzes how students approached the assigned tasks, how responsibilities were distributed, and how challenges that arose during the development process were addressed. In addition, the report highlights the educational outcomes achieved through the project, particularly a deeper understanding of agentic artificial intelligence concepts, as well as the development of practical, analytical, and collaborative skills.

Each student developed a unique idea and agent. Although some agents had similar themes, all created agentic artificial intelligence systems have practical value for both users and developers. Working on individual agentic artificial intelligence projects became an important and effective experience for RI-223 students both technically and personally. Students independently designed autonomous agents, defined clear goals, made decisions, and addressed issues related to adaptability and system efficiency. This practical experience helped them gain a deeper understanding of how agentic artificial intelligence differs from traditional AI models and to recognize the potential applications of such systems in real-world domains.