AI for Job Seekers

Yes, significantly, but the quality of the improvement depends on how you use it. Pasting your resume and asking AI to "make it better" produces generic changes. The most effective method is to give Claude your resume, the specific job description, and the company's stated values, then ask it to identify: (1) which of your achievements are most relevant and underemphasised, (2) what language in the job description is missing from your resume, and (3) what the recruiter is most likely scanning for in your industry. This produces targeted, specific revisions rather than word substitutions.

The problem is almost always at the prompt level, not the model. A cover letter sounds robotic when the prompt is generic. Before generating anything, give the AI your resume, the full job description, one paragraph about why you genuinely want this specific role, and one paragraph about a relevant challenge you solved. Ask it to write a cover letter in your voice based on that material. Then edit it to remove any phrase you would never actually say out loud. The result sounds like you because it starts from material that is entirely yours.

Claude is the strongest for behavioural interview preparation because of its ability to reason about your specific experiences. Give it your resume and the job description, then ask it to generate the 10 most likely behavioural questions for this role. Answer each one out loud, then paste your answer and ask Claude to evaluate it against the STAR format and give you specific feedback on what to sharpen. This is more effective than generic interview prep because the questions are calibrated to your actual background.

Yes. Use Perplexity to find recent news, funding rounds, product launches, leadership changes, and press coverage. Then give that material to Claude and ask it to help you identify: (1) what challenges the company is likely facing right now, (2) what the role you are interviewing for is probably being hired to solve, and (3) two or three smart questions to ask at the end of your interview. This turns generic company research into interview-ready insight.

Use Perplexity or LinkedIn Salary to research market rates for your role, level, and city first. Then give Claude your competing offer (or target number), the role details, and your experience level, and ask it to write a counter-offer script. The key is specificity: a counter-offer that references your specific market data and three concrete reasons you are worth the higher number outperforms a vague "I was hoping for more." AI is also useful for preparing responses to the most common pushbacks: "That is above our budget" or "We have a compressed band for this level."

Yes. The most useful prompt is: give Claude your current LinkedIn headline and About section, then give it three job descriptions for roles you are targeting, and ask it to rewrite both sections to match the language and keywords recruiters in your space are actually searching for. LinkedIn search is keyword-driven. An optimised profile does not mean a perfect profile — it means using the right words for how people search for someone with your background.

Using AI to help you communicate your real experience more clearly is equivalent to hiring a professional resume writer — both are widely accepted. The ethical line is representing experience, skills, or achievements you do not actually have. AI that helps you articulate what you have done is a tool. AI that fabricates what you have done is fraud. The distinction is straightforward in practice.