AI Concepts
Agentic AI
Autonomous AI systems capable of planning, reasoning, and executing multi-step tasks with minimal human intervention. Agentic AI can break down complex goals, use tools, and adapt to changing contexts.
Definition
Autonomous AI systems capable of planning, reasoning, and executing multi-step tasks with minimal human intervention. Agentic AI can break down complex goals, use tools, and adapt to changing contexts.
Examples
- An AI agent that autonomously researches topics and generates reports
- A coding assistant that plans, writes, and tests code across multiple files
- A customer service agent that handles inquiries and escalates complex issues
Related terms
Read more in our docs
Frequently asked
- What is Agentic AI?
- Autonomous AI systems capable of planning, reasoning, and executing multi-step tasks with minimal human intervention. Agentic AI can break down complex goals, use tools, and adapt to changing contexts.
- How is Agentic AI used in practice?
- Agentic AI is commonly used in scenarios such as: An AI agent that autonomously researches topics and generates reports; A coding assistant that plans, writes, and tests code across multiple files; A customer service agent that handles inquiries and escalates complex issues.
- How does yno.ai support Agentic AI?
- yno.ai uses Agentic AI to power its AI agents, which combine planning, tool use, and dynamic context to handle multi-step tasks.
- What other concepts are related to Agentic AI?
- Agentic AI relates to Model Context Protocol (MCP), Tool Use. Each links to its own glossary page below.