Explain the concept of AI agent and Agentic AI to me

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An AI agent is a fundamental concept in artificial intelligence. It's a system that can perceive its environment through sensors or data inputs, make decisions based on that information, and take actions to achieve specific goals. Think of it as an autonomous entity that can interact with its surroundings and work towards objectives without constant human guidance. Agentic AI describes AI systems that exhibit agent-like qualities with enhanced capabilities. These systems demonstrate autonomy by operating independently without constant human supervision. They show proactivity by taking initiative and anticipating needs. They are goal-oriented, working systematically towards specific objectives. Most importantly, they can decompose complex tasks into smaller, manageable steps and execute them sequentially to achieve their goals. The key difference between AI agents and Agentic AI lies in their sophistication and capabilities. Traditional AI agents follow a basic perception-action cycle, responding to inputs with predetermined outputs in single-step operations. Agentic AI, however, represents a more advanced form that can plan multi-step processes, execute complex tasks autonomously, and adapt their approach based on feedback. Think of AI agents as reactive systems, while Agentic AI systems are proactive and strategic. Agentic AI is already being implemented in various real-world applications. Project management AI systems can plan entire projects, break them into tasks, allocate resources, and monitor progress autonomously. Workflow automation systems orchestrate complex business processes, handle exceptions, and continuously optimize for efficiency. Research assistant AIs can gather information from multiple sources, synthesize findings, and generate comprehensive reports. These systems demonstrate the key characteristic of Agentic AI: the ability to work independently towards complex goals through multi-step planning and execution. To summarize, AI agents and Agentic AI represent different levels of artificial intelligence sophistication. AI agents are foundational systems that perceive and react to their environment, while Agentic AI represents the next evolution - systems that can plan, execute complex multi-step tasks, and operate autonomously towards specific goals. The current focus in AI development is building these more sophisticated agentic systems that can handle complex workflows independently. Looking ahead, we can expect even more advanced Agentic AI systems that will work collaboratively with humans, taking on increasingly complex responsibilities while maintaining the core principles of autonomy, proactivity, and goal-oriented behavior.