Chapter 3
Meeting Agentic AI Core Technologies
IN THIS CHAPTER
Focusing on coordination and planning
Developing contextual awareness and situational reasoning
Processing self-directed improvements
Adapting for multiple inputs and systems
Considering common protocols
Choosing options in agent construction
The rise of Agentic AI marks a major turning point in the evolution of artificial intelligence (AI). This level of development represents a dramatic jump for machines, from being simply reactive tools to active participants in decision-making and goal execution. (Chapter 2 offers a big-picture look at this evolution.) But what powers this leap from prompt to pursuit? What technologies make true agency in AI systems possible?
This chapter unpacks the core technologies that enable Agentic AI to function with purpose and persistence. From world models and memory systems to real-time ...
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