What is Agentic AI?
AI systems that can autonomously plan and execute multi-step tasks using tools.
Definition
Agentic AI refers to AI systems that go beyond single-response interactions to autonomously plan, execute, and iterate on complex multi-step workflows. Agentic systems can use tools (APIs, databases, web browsers), make decisions, handle errors, and adapt their approach based on intermediate results — behaving more like an autonomous worker than a question-answering system.
💡 Example
Claude Code is an agentic AI — you describe a feature, and it autonomously reads the codebase, plans the implementation, writes code across files, runs tests, fixes errors, and iterates until done. No step-by-step human guidance needed.
Related concepts
A type of AI trained on massive text datasets to understand and generate human language.
An AI system that can autonomously plan, execute tasks, and use tools to achieve goals.
A prompting technique that asks AI to show its reasoning step by step.
What is Agentic AI?
Agentic AI refers to AI systems that go beyond single-response interactions to autonomously plan, execute, and iterate on complex multi-step workflows. Agentic systems can use tools (APIs, databases, web browsers), make decisions, handle errors, and adapt their approach based on intermediate results — behaving more like an autonomous worker than a question-answering system.
How does Agentic AI work in practice?
Claude Code is an agentic AI — you describe a feature, and it autonomously reads the codebase, plans the implementation, writes code across files, runs tests, fixes errors, and iterates until done. No step-by-step human guidance needed.