A powerful personal AI use case is creating interview prep materials. By feeding a tool like Google's NotebookLM with the job description, company info, and market context, you can generate a personalized audio summary that coaches an applicant, boosting their preparedness and confidence.
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Voice mode offers a more natural and effective way to practice for interviews than text-based AI. For best results, provide the AI with your resume and the job description for the role. This allows it to tailor questions, provide more relevant feedback, and simulate a real interview scenario.
To create detailed context files about your business or personal preferences, instruct your AI to act as an interviewer. By answering its questions, you provide the raw material for the AI to then synthesize and structure into a permanent, reusable context file without writing it yourself.
Tools like Final Round AI provide candidates with live, verbatim answers to interview questions based on their resume and the job description. This development undermines the authenticity of remote interviews, creating a premium on face-to-face interactions where such tools cannot be used covertly.
To simulate interview coaching, feed your written answers to case study questions into an LLM. Prompt it to score you on a specific rubric (structured thinking, user focus, etc.), identify exact weak phrases, explain why, and suggest a better approach for structured, actionable feedback.
Individual sellers can use free tools like Google's NotebookLM to build their own specialized AI agents now. By uploading books, articles, and podcasts on topics like prospecting or upselling, they create a personal knowledge base to get instant, tailored answers and stay ahead of the curve.
Create a custom GPT and feed it 10 of your company's best job descriptions. It learns your format, tone, and key requirements. This allows anyone on the talent team to generate a high-quality, company-specific job description in minutes by providing a simple brief.
Notebook LM is a powerful tool for interview preparation. A Google AI PM uploaded a four-hour investor video and the target job description, then asked the AI what she needed to know. It distilled the content into 15 key points, enabling her to master the material and excel in the interview the next day.
Beyond transcription, advanced AI tools can analyze an interviewer's live performance. They offer feedback on tonality, vocabulary, use of open vs. closed questions, and even body language, turning the AI into a powerful tool for improving human soft skills and communication.
A powerful learning hack: 1) Ask an LLM (like Gemini) for a deep research guide on a topic. 2) Paste the text into Google's NotebookLM. 3) Prompt NotebookLM to "create a five-minute podcast" summarizing the material. This transforms dense information into a quick, digestible audio primer for learning on the go.
Upload interview transcripts and a job description into an AI tool. Program it to define the top criteria for the role and rate each candidate's transcript against them. This provides an objective analysis that counteracts personal affinity bias and reveals details missed during the live conversation.