Agentic AI Explained: How It Works, Top Use Cases & Future Potential | HackerNoon
Briefly

Agentic AI refers to artificial intelligence systems that function autonomously by thinking, deciding, and acting on their own to reach specific objectives. These systems utilize advanced AI models like GPT-4 or Claude, allowing them to reason, plan, and manage complex tasks. Key characteristics include autonomy, proactiveness, and goal orientation. This distinguishes agentic AI from traditional AI, which requires human prompts and responses. Instead, agentic AI takes initiative, coordinating various AI agents to address larger, goal-oriented outcomes.
Agentic AI refers to artificial intelligence systems that can think, decide, and act independently to achieve specific goals without constant human input.
These systems often build on powerful AI models like GPT-4 or Claude, enabling them to reason, plan, and execute complex tasks.
The term agentic comes from 'agency,' meaning the ability to act autonomously and make decisions.
Unlike traditional AI, which follows pre-set rules, agentic AI is designed to take action, setting plans, coordinating AI agents, and completing goals autonomously.
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