AI Development
Agentic AI
AI systems that can pursue complex goals over an extended period with limited direct supervision, taking actions rather than only answering questions.
In depth
AI systems that can pursue complex goals over an extended period with limited direct supervision, taking actions rather than only answering questions. OpenAI's governance paper treats agenticness as a spectrum rather than a yes or no label, measured along goal complexity, environmental complexity, adaptability, and independent execution. In practice the term covers coding agents, research agents, and multi-step workflows built on models with tool use.
Primary source: cdn.openai.com
Example
In practice, developers reach for Agentic AI when they need the capability described above as part of an AI feature or workflow.
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FAQ
Common questions
What is Agentic AI?
AI systems that can pursue complex goals over an extended period with limited direct supervision, taking actions rather than only answering questions.
Why does Agentic AI matter for AI developers?
Agentic AI sits in the AI Development part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Where can I learn more about Agentic AI?
Developers Digest publishes tutorials and videos that cover AI Development topics including Agentic AI. Check the blog and YouTube channel for hands-on walkthroughs.
Related
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