Generative AI produces content such as text, code or images from a prompt, while agentic AI plans steps and uses tools to reach a goal. One creates output; the other acts on it.
An AI agent is software that wraps a language model in a loop with tools and memory so it can work toward a goal. It chooses an action, reads the result and continues until the task is done.
An agentic framework is a software library for building AI agents, handling the loop of model calls, tool use, memory and control flow. It lets teams focus on the agent's task and usually adds tracing and evaluation hooks.
Generative AI refers to models that create new content, such as text, images, code, audio or video, from patterns learned in large amounts of training data.
Guardrails are checks placed around a language model that inspect what goes in and what comes out, blocking or correcting responses that break rules. They enforce policy in code rather than trusting the prompt.
Agentic AI is a way of designing systems in which AI pursues a goal with some autonomy. It plans steps, calls tools and acts on results, often through several coordinated agents working inside limits people set.
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