Recent advancements have introduced platforms enabling users to create their own AI agents, moving beyond traditional generative AI capabilities. Platforms like OpenClaw and Claude Cowork allow individuals, even without programming skills, to design and deploy 'agent' software capable of performing tasks independently. Unlike previous chatbots that required users to input prompts for specific outputs in a chat window, these AI agents can autonomously read, organize, and respond to emails, translate documents, transcribe voice recordings, and share results across web or messaging environments.

The accessibility and scalability of these platforms represent significant advantages, particularly for non-developers and young users who can now design their own AI agents with ease. This reduction in barriers promotes educational and creative possibilities, potentially allowing for innovative uses in learning and experimentation. The ability for youth to engage in their own AI creations opens up avenues for increased creativity and personalized educational experiences, which could be beneficial in fostering a deeper understanding of AI technology.

However, the independence of AI agents poses considerable risks, specifically concerning data privacy. As these agents operate on user interactions, there is a danger that young users may unknowingly share sensitive personal information, such as their names, schools, and relationships. Some platforms may store and utilize this conversational data for learning or service improvements, potentially leading to severe consequences if security measures are inadequate. Therefore, it is crucial for users, especially youth, to understand the long-term implications of their information sharing and the risks of excessive self-exposure in a digital environment.