I use AI to prepare for an interview by generating practice questions, identifying gaps, and challenging my examples. I do not memorize its answers or assume it knows the employer’s internal decisions.
I provide the role and my real background
I share a sanitized job description and a factual summary of my experience. I remove confidential names, data, and personal details that the tool does not need.
I ask for role-specific questions
I request questions tied to the stated responsibilities, then group them into technical, behavioral, motivation, and practical topics. I compare them with my own research rather than treating the list as complete.
I use it as a follow-up interviewer
After drafting an answer, I ask what remains unclear: What was my personal role? What tradeoff did I make? Is the result supported? This helps expose vague stories.
I practice variations
I ask for the same competency in different wording so I learn the underlying story instead of memorizing a question-answer pair.
I verify company information separately
AI summaries can be outdated or wrong. I use official and current sources for products, leadership, financial information, policies, and recent events.
I keep my delivery human
I create short notes with facts and structure, then answer aloud without reading. I record myself and remove phrases I would never normally say.
A prompt I find useful
“Act as a skeptical interviewer for this role. Ask one question at a time. After each answer, identify missing context or unsupported claims, but do not rewrite the answer until I respond.”
AI can make practice more active and specific. The actual interview still depends on listening, adapting, and telling the truth in my own words.