Step 3: The pattern discovery workflow

Traditional lead generation often relies on brittle scrapers and static scripts that lack the ability to adapt or reason. What if we could architect an agent that doesn't just fetch data, but emulates the analytical process of a market research team? An agent that can discover patterns, validate information, and generate qualified leads based on a dynamic understanding of success.

This guide details the architecture of such an agent, built using the Agent Development Kit (ADK). We will explore how to structure a complex task into a hierarchy of cooperative agents, manage state across interactions, and design for parallelism to create a system that is both powerful and efficient.

Step 1: Find the root agent

At the core of any complex agentic system is what we call a “primary orchestrator”. In this architecture, the InteractiveLeadGenerator serves as this central hub. Its purpose is not to perform the low-level tasks ...