How to Use AI Agents in n8n to Extract Resume Data at Scale
AI Summary
This video provides a detailed walkthrough on how to use AI agents to parse unstructured resume content such as emails, names, skills, and education into structured data. It demonstrates using the NAND instance chat feature for file uploads and explains how Microsoft Teams integration can work with this setup for automated resume parsing. The host explains how to normalize various file types into text JSON objects so AI agents can process them effectively. The video also covers configuring AI agents with system and user messages to extract relevant data fields and generate structured output suitable for tools like Google Sheets. It highlights handling errors gracefully when agents fail and shares tips on choosing appropriate AI models considering privacy, context window size, and tool-calling capabilities. The importance of clear workflow documentation through well-named nodes and outputs is emphasized for maintainability. The video concludes inviting viewers to join live Q&A sessions and subscribe for more AI automation guidance using the NAND platform.