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AI FOR YOUR CAREER / LESSON 10

Stand out with evidence and interview practice

Show relevant judgment rather than simply claiming enthusiasm. A focused sample and a clear account of your decisions can make your contribution easier to assess.

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Career evidence: real experience, a work sample, a clear story.

Work through the steps

  1. Choose three stories covering a result, a difficult decision, and a lesson from something that did not work. Separate your contribution from the team’s work.
  2. Ask AI to interview you one question at a time using the job description. Answer before asking for feedback. Require follow-up questions about evidence and tradeoffs.
  3. Prepare a small optional sample: a public-information process review, a one-page idea, or a clearly hypothetical first-30-days plan. Label assumptions and avoid presenting speculative advice as an inside diagnosis.
  4. Rehearse explaining the sample in two minutes. Disclose AI assistance when relevant and follow the employer’s assessment rules. For substantial take-home work, clarify scope, ownership, and time expectations before proceeding.

Try this prompt

Replace the brackets with reviewed information. Copy into your chosen AI tool; this page does not run agents or send your information.

Act as a realistic interviewer for [role]. Ask one question at a time and wait. Evaluate my answer for relevance, my contribution, evidence, tradeoffs, and clarity. Do not reward invented detail or write an answer before I try. Ask a follow-up where evidence is weak. Finish with three practice priorities, not a hiring prediction.

Before you call it finished

Can you answer follow-up questions about the work? Is the sample scoped appropriately and clearly separate from confidential or paid client work?

Practice your interview ↗

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