Interview candidates based on their resume
A built AI interview agent analyzes a candidate's resume and conducts a personalized interview for HR and recruiters.
Done withn8n
- What they did
- The builder set up an end-to-end workflow where a recruiter enters candidate details and uploads a resume, then the system stores that data, creates a unique interview link, and passes the record to an AI interview agent. Using n8n, Supabase, webhooks/APIs, LLM logic, and a voice agent, it reads the resume, generates role-specific questions, runs the interview, evaluates answers, saves results, and emails notifications.
- How it went
- The result was a first-round screening flow that produces stored interview responses, AI remarks, scores, and candidate-job compatibility for human review. The builder says it still needs deeper follow-up questioning, more consistent evaluation, stronger rubrics, and better recruiter controls.
- Worth knowing
- A key catch is that the builder explicitly keeps final hiring decisions with a human and describes the agent as automating repetitive screening rather than replacing review.
Try it yourself with Claude
Act as an interviewer for the role of [job title] at [company]. I'll paste a candidate's resume; read it and ask me one personalized question at a time, covering [skills, experience gaps, and culture fit], with follow-ups based on my answers. After [8] questions, give me a scorecard with strengths, concerns, and a hire or no-hire recommendation. Here is the resume: [paste resume].
Want help getting this working? Join the Vibe Coding Academy ↗ Run by Alex Finn, who also runs this site.
Source: Reddit · Aug 19, 2026
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