# Looking for Help to Build an Interview Agent Using

Looking for Help to Build an Interview Agent Using n8n

Hi everyone,

I’m hoping someone with experience in n8n and automation can help me build an interview agent. Here’s what I’m trying to achieve:

Goal:

I want to create an interview agent using n8n that:

  1. Pulls questions from a predefined set stored in a Google Sheet (questions are organized by topic).
  2. Asks the user these questions one by one.
  3. Checks if the user’s answer is sufficient based on predefined criteria (e.g., word count, keywords, etc.).
  • If the answer is sufficient, it moves to the next question.
  • If not, it asks follow-up questions or goes deeper on the same question.
  1. There should be an option to fine tune 3. such that it can dig into specific topics and not only check if the question is answered or not.
  2. Stores each chat interaction in a Google Sheet.

If you’re familiar with this kind of project and have the time to help, I’d really appreciate it! Feel free to comment or DM me. Thanks in advance!

TL;DR: Need help building an interview agent in n8n that pulls questions from Google Sheets, asks users questions, evaluates answers using an LLM and stores chat logs in Google Sheets. Thanks!

It looks like your topic is missing some important information. Could you provide the following if applicable.

  • n8n version:
  • Database (default: SQLite):
  • n8n EXECUTIONS_PROCESS setting (default: own, main):
  • Running n8n via (Docker, npm, n8n cloud, desktop app):
  • Operating system:

@EK12, were you able to make progress on this one or find a solution? We are looking for something similar. Thanks!