The Building Blocks of Agentic Systems with Harrison Chase - #698
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Agent Use Case: Gather Information in Workflow
Data enrichment is increasingly relevant, particularly for understanding new users and their companies without overwhelming them with forms. Automated agents can efficiently gather information by performing web searches to fill in essential details such as company location, size, and funding status. This method streamlines the process, particularly in sales, where enriched data is invaluable. The concept relies on a structured workflow that resembles human behavior—using a search engine to find and validate information iteratively. Reliable agents must be able to follow these described workflows effectively, whether through prompting users or through the overall system architecture.
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