Set up a resume-based interview screen
A recruiter-facing agent reads a resume, asks tailored interview questions, and produces a first-pass evaluation for human review.
- What they did
- The builder wired together a hiring workflow in n8n. A recruiter can enter candidate details and upload a resume, which the system stores, turns into a unique interview link, and sends to an AI interviewer. The agent then reviews the resume, drafts role-specific questions, conducts the interview by voice, rates the answers, keeps the records, and sends notification emails using Supabase plus connected services.
- How it went
- The flow returns stored interview transcripts, AI notes, scores, and a compatibility check between the candidate and the job. The builder said it still needs stronger follow-up prompts, more reliable scoring, better grading rules, and tighter recruiter controls.
- Tips
- Use it as a screening aid, not a final decision-maker, and keep the hiring decision with a person. Test the rubric on real resumes before letting recruiters rely on the scores.
Try it yourself with Claude
Act as a first-round interviewer for [job title] at [company]. I’ll provide a candidate resume and job priorities. Read the resume, ask one personalized question at a time, and tailor each next question to the candidate’s answers. After [8] questions, pause and ask for my approval before you send any message, submit any evaluation, or take any other irreversible action. Then give me a brief scorecard with strengths, concerns, and a hire/no-hire suggestion for human review. Resume: [paste resume]. Job priorities: [paste job priorities].
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
Get 3 agent uses like this every morning
With the day's top AI news. Free, and one click to unsubscribe.
Related agent uses
Turn invoice emails into a live finance dashboard
They used n8n to read invoice emails, pull key fields, and send the data into Google Sheets for a live financial view.
Use n8n to answer questions from company files
They built multiple LLM assistants in n8n to query company data, call AutoCAD Forge APIs, and use parsing, embeddings, and retrieval.
Build one workflow for invoices, payments, and refunds
A single n8n flow handled billing events, kept records current, and blocked duplicate entries and duplicate messages.
Set up a chat agent for clinic questions
An n8n workflow used Gemini and Google Sheets to reply to patient chat enquiries with context kept across messages.
Automate dental calls and appointment handling
They built a phone agent that manages clinic scheduling, answers routine questions, and alerts the doctor about urgent calls.
Set up daily appointment reminders in n8n
Have n8n read today’s calendar entries, make reminder calls with Retell AI, and send a follow-up text through Twilio.