Integrating Human Input in AI Agents

We've already explored how hierarchical structures can keep complex tasks organized and aligned. But now, we're going to explore a more dynamic approach, combining the power of sequential processes with real-time human feedback—without the need for a hierarchical system.

The YouTubeVideoSearchTool in CrewAI

Imagine two agents collaborating on a project. The first uses the YouTubeVideoSearchTool to search for relevant videos, analyze their content, and extract key information from a specific YouTube video. The second agent takes these insights and writes an article. Traditionally, we might structure these agents hierarchically to ensure thorough research before writing begins. But what if we could streamline the process and still refine the final product? Instead of a hierarchy, we introduce real-time human feedback after the article is drafted, allowing us to fine-tune the content based on user preferences before publishing.

Let's see how this works in practice. We'll create a crew with these two agents and, after the article is drafted, we'll step in with real-time feedback to ensure the final output aligns perfectly with our goals. Let's examine how this agent functions before diving into the implementation.