FYI: What is agentic #AI

Agentic artificial intelligence refers to AI systems that operate as agents — entities that can perceive their environment, make decisions, and take actions to achieve goals autonomously. The term “agentic” comes from the word agency, meaning the capacity to act independently and make choices.

Here’s a breakdown of what makes an AI system agentic:

1. Goal-oriented: It has objectives or tasks it’s trying to achieve.

2. Autonomous: It can make decisions and act without constant human input.

3. Interactive: It can sense or receive input from the environment (e.g., through data, sensors, or user prompts).

4. Adaptive: It can learn from experiences or feedback to improve performance over time.

5. Planning and reasoning: It can plan multiple steps ahead or reason about consequences to reach a goal.

Examples:

• A self-driving car navigating traffic to reach a destination.

• A virtual assistant that proactively schedules meetings or sends reminders based on your habits.

• An AI researcher bot that autonomously generates, tests, and refines scientific hypotheses.

Agentic AI is often discussed in contrast to tool-like AI, which only performs specific tasks when commanded and lacks autonomy or initiative.