What best describes the approach of agentic AI?

The approach of agentic AI is best described by emphasizing autonomy through planning and feedback. This concept involves enabling AI systems to operate independently, where they can make decisions based on their own analysis of the environment and objectives. Agentic AI is designed to assess a situation, generate plans, and adapt its actions based on the outcomes of previous actions or changes in the environment.

This independence allows agentic AI to handle complex tasks dynamically, improving its performance over time as it learns from interactions and feedback. The ability to adjust strategies based on real-time information distinguishes it from systems that merely follow pre-determined instructions or rely heavily on user intervention at every step. Thus, the essence of agentic AI lies in its capability for autonomous operation and continuous improvement through interaction with its surroundings.