Dr. Violet Howard builds a no-code resume screener in n8n that triggers on incoming emails, extracts Word documents, and sends them to an OpenAI reasoning model alongside a job description. The AI returns structured outputs: strengths, weaknesses, risk assessment, reward potential, and an overall rating that can be exported to Google Sheets.
Watch me build an AI resume screening system in N8N with no code. All right, so we know that the trigger of this workflow is gonna be Gmail. So I'm gonna type in Gmail. We're gonna grab this guy and we're gonna grab the trigger on message received. And I just sent myself an email with a resume from a fake character named Jordan Reeves, and it is a Word doc. We should see the binary image right here, which is Jordan Reeves' resume as a Word doc. Okay, so the next thing to do is we want to have a switch that sends the data different ways based on the file type. So I'm gonna add a new node. I'm gonna type in switch. And what I'm gonna do here is, first of all, we're just going to worry about Word docs because that's what we have right here. And then we'll come back later and do PDF and text file. Okay, so we have the resume, we have the job title and description. Now we want to feed it into an AI to analyze the two of them. So I'm gonna click on the plus and I'm gonna add an AI agent. But before we can run this, we need to connect a brain. So I'm going to click on the chat model button and I'm just going to choose an OpenAI chat model because I want to use a reasoning model. You'll see that it's going to give us our strengths, weaknesses, all the stuff we asked for in different fields, and we'll be able to drag it later into Google Sheets really easily. So there we go. It just finished up and now we have a list of candidate strengths. It found 7 things. It found 4 weaknesses. It said low risk factor with an explanation, high reward factor, a 9 overall rating, and a justification. If you want to watch the full tutorial, click on that play button right here, and I'll see you guys over there.
