What is Agentic Design and How to Implement It?

The first generation of AI apps used "chains"—a linear sequence of steps. The second generation is "agentic"—dynamic systems where the AI chooses its own actions based on the goal.

The Plan-Act-Observe Loop

An agentic system operates in a continuous loop. It starts with a goal, generates a "plan," executes an "action" (like calling an API or searching the web), "observes" the result, and then updates its plan. This iterative approach allows the AI to handle unpredictable environments and solve complex, multi-step problems that a simple chain would fail to complete.

Building with Toolkits

To implement agentic design, you need to provide the AI with "Tools." These are functions the AI can call. Using frameworks like LangGraph or CrewAI, you can define the boundaries of what an agent can do and how it should coordinate with other agents, creating a robust, autonomous workforce for your business.