AgentR 3.0 - Hiring evaluation built for the AI cheating era

Hi Product Hunt 👋 When we launched AgentR, the problem was noisy resumes. When we shipped v2, the problem was disconnected hiring workflows. Today the problem is different again. Candidates have AI helping them through every stage of an interview, and most hiring tools have no way to tell. So for this launch, we rebuilt the interview itself. AgentR now runs a full AI-conducted first interview, voice and video, structured around how someone actually thinks and works: resume walkthrough, real case scenarios, judgment calls, and hands-on problem solving. It's designed so rehearsed answers and real-time AI help don't hold up, and verification runs before evaluation, not as an afterthought. What's new in Phase 3: ◉ AI-conducted interviews: a structured 25-minute conversation that adapts to what the candidate actually says, not a fixed script ◉ Built-in verification: Our deep research engine checks resumes for consistency before they're evaluated. ◉ Anti-cheat by design: the interview format itself is built to be difficult to fake, not just monitored after the fact ◉ Context-aware CV ranking: candidates are ranked on how their experience actually fits the role, not just keyword overlap ◉ Transparent rejections: candidates get a clear reason when they don't move forward, not silence We built this because we were losing our trust in virtual interviews, and we suspect a lot of hiring teams feel the same way right now. Would love your feedback, especially from anyone running high-volume hiring where this problem shows up first.