Agentic AI systems are designed to perceive, reason, and act autonomously, making decisions based on goals, context, and feedback. At the core of these systems are agents, which are decision-makers that define high-level approaches, make key decisions, and determine the overall plan. There are different types of agents, including strategic agents that define high-level approaches and make key decisions, validation agents that verify outputs against quality standards, and refinement agents that make improvements or corrections based on feedback.
Tools are specific, well-defined technical operations that agents can use to interact with the external world. These tools should encapsulate technical logic, complex algorithms, and domain-specific deterministic operations, while remaining stateless and reusable across different tasks or agents. Tasks, on the other hand, define what needs to be done and how to approach it, serving as the units of work in an agentic system.
When designing agentic AI systems, it's essential to follow key principles such as the single responsibility principle, clear input/output contracts, and separation of concerns. Agents should focus on strategic decisions, while tools handle deterministic operations. Modularity is also crucial, with tasks designed to be executed and reasoned about independently to create modular, maintainable systems.
To implement agentic AI systems, one can choose from popular frameworks like LangChain, CrewAI, and ReAct framework. The first step is to define the problem and goals, followed by developing the reasoning engine using machine learning, reinforcement learning, or pre-trained models. The action executor is then implemented to perform tasks based on the reasoning layer's decisions, interacting with external systems as needed.
By following these guidelines and best practices, technical consultants can help bridge the gap between fantasy and function, creating agentic AI systems that are both powerful and practical. With careful design and implementation, agentic AI has the potential to revolutionize various industries and applications.
