Agentic
term_id: agentic
Category: application_paradigms
Definition
The term ‘agentic’ describes AI agents that operate with a high degree of autonomy. Unlike passive models that simply predict text or classify data, agentic systems can break down complex objectives into sub-tasks, use tools, interact with environments, and iterate on their actions to solve problems. This paradigm shifts AI from being a reactive tool to a proactive collaborator. These systems often employ memory, planning mechanisms, and reflection loops to improve performance over time, enabling them to handle dynamic and unstructured real-world scenarios effectively.
Summary
Refers to AI systems capable of autonomous planning, reasoning, and executing actions to achieve specific goals.
Key Concepts
- Autonomy
- Tool Use
- Planning
- Goal-Oriented Behavior
Use Cases
- Automated software engineering assistants
- Research agents that synthesize literature
- Personal assistants managing complex schedules and bookings