AI Glossary

What is Agentic AI?

Agentic AI refers to AI systems that can autonomously plan, reason, and take actions to accomplish goals with minimal human intervention. Unlike simple chatbots that respond to individual prompts, AI agents can break down complex tasks, use tools (web browsing, code execution, API calls), maintain state across steps, and adapt their approach based on results. Examples include coding agents (Claude Code, Devin, Cursor), research agents, and workflow automation agents. Key capabilities include tool use, multi-step planning, error recovery, and memory. The agentic paradigm represents a shift from AI as a text generator to AI as an autonomous worker.
Related Terms
Tool Use (Function Calling)MCP (Model Context Protocol)Chain-of-Thought (CoT)LLM (Large Language Model)
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Frequently Asked Questions

What is agentic AI?

Agentic AI refers to AI systems that can autonomously plan, use tools, and take multi-step actions to accomplish goals, going beyond simple question-answering to independent task completion.

What are examples of AI agents?

Examples include Claude Code (autonomous coding), Devin (software engineering), research agents that browse the web, and workflow agents that automate multi-step business processes.

All Glossary Terms
Large Language ModelRetrieval-Augmented GenerationFine-TuningTransformerPrompt EngineeringHallucinationTokenEmbeddingVector DatabaseInferenceGPTDiffusion ModelReinforcement LearningMultimodal AIContext WindowModel Context ProtocolTool UseChain-of-ThoughtDistillation