Agentic AI
Agentic AI is AI that takes initiative: it plans steps, uses tools, and can loop until a goal is met instead of answering once and stopping.
In Simple Terms
Think of it as a junior teammate who can look things up, try steps, and report back until the job is done.
Detailed Explanation
Agentic AI refers to systems that act as autonomous agents: they set subgoals, call tools (APIs, code, search), and iterate until a task is done. That makes them well-suited for multi-step workflows, research, and coding. When to use agentic AI: when a single prompt-response is not enough and you need planning, tool use, or self-correction. Common mistakes: assuming one prompt will complete the job, or giving agents broad goals without clear success criteria.
Related Terms
Context Engineering
Context engineering is the practice of structuring and managing context—including system prompts, RAG (Retrieval-Augmented Generation), memory, and few-shot examples—so AI systems have the right information to answer accurately.
Read moreNatural Language Processing
Technology that helps computers understand, interpret, and manipulate human language.
Read moreRAG
Retrieval-Augmented Generation combines AI models with external knowledge retrieval for accurate responses.
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