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Learn how to leverage AI agents in n8n to automatically extract structured data from unstructured resume files at scale in this 17-minute tutorial from n8n's Office Hours webinar. Discover techniques for normalizing and extracting text from binary file uploads, implementing switch logic to route workflows based on file types, and setting up AI agents with effective system and user prompts. Master the process of transforming raw resume data into clean, structured outputs that integrate seamlessly with tools like Google Sheets, while implementing robust error handling for production environments. Explore best practices for choosing the right large language model (OpenAI, Gemini, Ollama) for your specific use case and gain insights into when to use focused chains versus full AI agent nodes. The tutorial demonstrates practical applications including Microsoft Teams integration, file extraction processes that convert binary data to text, AI agent configuration with output parsers, and structured data routing to spreadsheets with proper error handling using alternate node paths.
