Creating AI Agents — General Steps
To design effective AI agents, start by defining their specific roles and tasks. Specify the concrete actions they need to perform and determine the appropriate autonomy level. Identify the necessary capabilities, such as natural language processing and data analysis, ensuring flexibility in technology choices like LLMs and RAG. Finally, focus on agent anatomy and orchestration, deciding between solo or swarm configurations, and ensure capabilities are reusable and well-integrated.
Let’s discuss these points in more detail.
1. OUTLINE WHAT AN AGENT IS SUPPOSED TO DO
First, clearly define the agent’s role. What are its goals or tasks? It’s often best to assign one specific task to each agent, known as the agent swarm approach.
What does the agent need to accomplish? This can be a high-level objective or a set of specific tasks. Using the multi-agent swarm approach, assign each agent a distinct task. An e-commerce chatbot could handle customer inquiries, analyze shopping behavior, and recommend products. A content creation agent might brainstorm ideas, draft articles, and edit blog posts.
In both cases, terms like jobs, tasks, and goals can be used interchangeably to describe…
