AI agents that run real user interviews
MCP integration brings real voice interviews to agents stuck guessing user needs.

Automates 40% of recruiter workload; Claude+ElevenLabs pipeline handles flow that plagued Paradox, Pinecone.
Hiring managers, recruiting agencies, Series A startups scaling teams
Paradox · Pinecone HR · HireEZ
How it works: paste a job description → AI generates a custom interview plan → candidates self-schedule via a public link → AI voice agent conducts a structured interview → you get a full transcript + scored report.
The hard parts: - Getting the AI to ask exactly one question at a time (not dump 5 at once) - Making the voice feel natural, not robotic - Keeping scoring auditable and bias-free
Free tier live — would love brutal HN feedback on the approach.
MCP integration brings real voice interviews to agents stuck guessing user needs.
MCP server bridges the AI-to-user feedback gap, but interview platforms already exist.
Pretty UI masks that interview coaching via AI is already crowded.
Groq-powered voice feedback beats the laggy competition, but Yoodli already owns this space.
AI agents conduct actual user interviews, not synthetic feedback guesses.
Polished product, but recruiter bots and warm intro networks already solve this.