Agentic AI

Agentic AI is an AI system that can has agency, hence the name. They can accomplish a specific goal with limited supervision. It consists of AI agents - ML models that mimic human decision making. Agentic AI exhibits autonomous, goal-driven behaviour. Using this it can make decisions and act.

The following is the 'Agent Loop' [[20260306123345-ai-custom-agents]] can be used to customise this loop, or [[20260306121850-ai-agent-skills]] can help teach new capabilities for a specific task.

It builds on [[20250813104808-generative-ai]] by using LLMs to function in dynamic environments. Rather than generating content, it applies generative outputs towards specific goals.

Agents can delegate tasks to subagents, helping optimise (read: lower) the amount of context that needs to be given to the main agent. Subagents work in a separate context and return only a summary.

In terms of IDEs, every IDE has its own way of doing things as standards are evolving, e.g. [[20260306121823-ai-instructions]]

[[ai]]