AI agents tackle problems requiring autonomous goal execution and interaction with external systems, capabilities that extend far beyond a chatbot's scope. While chatbots excel at conversational query resolution and information delivery, they typically cannot plan multi-step actions or utilize diverse tools to achieve complex objectives. For instance, an AI agent can proactively book a flight, send an email, or generate code by integrating various APIs, whereas a chatbot is limited to providing information about how to do so. They possess the ability to break down complex problems into manageable sub-tasks and execute them sequentially, adapting to real-time feedback and environmental changes. This enables agents to solve real-world problems demanding not just information, but tangible action and strategic decision-making in dynamic environments. Therefore, agents address challenges requiring a higher degree of autonomy, proactivity, and practical task completion that chatbots simply cannot perform. More details: https://steampen.co.kr/shop/bannerhit.php?bn_id=45&url=https://infoguide.com.ua/