AI Agents vs. Multi-Agent Systems` discuss the differences between two approaches to artificial intelligence: single autonomous entities (AI agents) and systems composed of multiple interacting agents (Multi-Agent Systems, MAS). The article highlights key aspects such as decision-making autonomy, scalability, coordination, communication, adaptability, fault tolerance, response time, and real-world applications. It provides a structured approach to understanding the strengths and weaknesses of each approach, enabling developers to choose between AI agents and MAS based on specific task requirements.