What is agentic AI?
Learn how agentic AI systems plan, use tools, and respond to feedback, and where emotional context may fit.
Agentic AI describes systems designed to pursue goals through multiple steps. Depending on their capabilities, agents may plan, use tools, review outcomes and adjust subsequent actions.
Typical components
An agent may combine a language model, task instructions, tools, memory and checks that constrain actions. The appropriate design depends on the stakes and user expectations.
Emotion-aware interactions
Emotional-context analysis can influence how an agent communicates, such as choosing a calmer tone when a user’s wording suggests frustration. It does not make the system capable of knowing a person’s inner emotional state.
Safety and evaluation
Evaluate task success, factual accuracy, user control, privacy and possible misinterpretation. Learn about emotion-aware AI and try the demo.