Been deep in the problem of spotting AI-generated or copied answers, and a few things genuinely surprised me. Sharing in case it s useful, and because I d like to hear how others are handling it.
First, asking nicely does nothing. Telling a model, or a person, not to use outside help just gets ignored, the instruction has no teeth.
Second, a single answer tells you almost nothing. One polished response could be real or pasted, with no reliable way to know in isolation. The signal only shows up across a whole session, consistency, timing, how close the answer sits to what a tool would generate.
Third, follow-ups are the real test. Pasting one good answer is easy, but holding it up through two or three why s is where the rehearsed stuff falls apart.
Something I keep running into building in the hiring space: the moment interviews went remote and AI got good, the format quietly broke. Candidates can pull up the right answer, or paste a polished one, in real time. So a lot of interviews now measure who prepped with ChatGPT, not who can actually do the work.
The usual fixes don t really hold either. Fixed question banks get shared and gamed. Harder questions just raise the bar on who copies best. Going back to in-person doesn t scale.
Curious what people here think. Is the structured Q&A interview finished, or is there a version of it that survives AI? And for anyone hiring right now, how are you actually telling a real answer from a generated one?
EmployeeEcho runs your entire first hiring round. Paste a job description, our AI checks the candidate read it, then runs a live adaptive interview with everyone who passes. It doesn't just grade answers, it probes for the intent behind them like a real interviewer. Everyone comes back ranked on role skills, problem solving and communication, with a Response Originality flag that catches AI-pasted answers. Try it free: take an AI mock interview, or get interviewed instantly off any job posting.
