Frequently Asked Questions
Agentic AI refers to AI systems capable of acting autonomously to achieve defined goals. Unlike traditional AI that requires constant input, agentic systems can plan, make decisions, and adapt to changing environments without human supervision.
Traditional AI executes specific tasks based on user prompts, while Agentic AI can operate independently, manage multi-step tasks, and continuously learn from real-time feedback to improve outcomes.
Core traits include autonomy, goal-directed behavior, adaptability, reasoning, and the ability to plan and execute tasks proactively with minimal human input.
Key components include a perception module (data intake), reasoning engine, planning module, action executor, and feedback loop for learning and adaptation.
Examples include GitHub Copilot Workspace agents for software development, enterprise automation agents for business workflows, collaborative multi-agent systems, and next-generation digital personal assistants like Siri or Alexa.
