I've been having real success using GenAI tools to prepare for interviews (not cheat), and as someone moving into the AI governance and policy space, this is a topic I think about carefully. Here's the stack that's been working for me:
I'm deep in the process of landing a high-level role at a major tech company. My strategy: use GenAI to prep hard, but not touch it during the actual interviews (which is banned by this company's policy anyway). In practice, that's looked like this:
1) Gemini Deep Research as my briefing engine I had it generate an in-depth job briefing cross-referencing both the JD and my resume. That brief and the resume go straight into NotebookLM as primary sources.
2) NotebookLM as my personal tutor From there I generate an interactive audio "podcast" targeted specifically to me applying to this role. The interactive format is the key. I use it like I'm already a candidate in prep mode. The quizzes, infographics, and slide decks are useful too, but the audio summaries are where I've gotten the most out of it.
3) Generate likely interview questions from the brief Once I have a solid foundation, I use the Deep Research brief as a reference to build out 10+ likely questions across each interview stage.
4) Claude voice mode for live practice I think this is the step most people skip. I run through the questions out loud in real time, video record myself, and actually watch it back. It's uncomfortable at first... but that's the point. Timing, pacing, nerves, you can't fix what you can't see.
I'm still in process and will report back when I land it. I'm curious what others are using; anything in your stack I'm missing?