The difference between AI chatbots and AI agents primarily lies in their capabilities, functionality, and complexity. AI chatbots typically follow scripted workflows and use predefined rules to handle simple, repetitive interactions, making them suitable for basic information retrieval and customer support[2][4]. They can be rule-based or powered by machine learning, but their learning capabilities are limited[3][4][5].
In contrast, AI agents utilize generative AI, large language models (LLMs), and natural language processing (NLP) to understand and respond to user queries more naturally and contextually. AI agents can engage in more complex decision-making, learn from interactions, and provide personalized responses, resulting in a more human-like conversational experience[2][3][4][5][6].
Additionally, AI agents operate with a higher level of autonomy, often needing minimal human intervention, whereas chatbots usually require some level of human oversight[5][6]. Overall, while both technologies aim to enhance customer interactions, AI agents are significantly more advanced and adaptable than traditional AI chatbots[1][4].
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