"Disha graduated in data science and built her career in consulting — first in learner success management, then as a consultant at Myntra in the men's category. When she was transitioning to a new role in the fashion retail space, she made a decision that most people do not make: she used AI tools at every single stage of the process, not just one.
Resume. Interview. Salary negotiation. Three separate situations. The same underlying skill applied differently each time.
Here is exactly what she did and what happened.
STAGE 1 — THE RESUME:
She did not use AI to write a generic resume. She used it to make her resume job-specific — taking the actual job description, feeding in her real experience and responsibilities, and asking AI to restructure how those things were expressed to match the language and priorities of the role.
The result was noticeably different from anything she had written on her own. Same facts. Same experience. Completely different framing — sharper, more targeted, more readable from a recruiter's perspective.
She also used this to customise her resume differently for each application. Not one resume sent everywhere — a tailored version that spoke directly to each specific role.
Result: She got shortlisted. Her previous standard resume had not been getting her through screening.
STAGE 2 — INTERVIEW PREPARATION:
She used structured prompting to generate likely interview questions for the specific role, company, and seniority level she was targeting.
This is not guesswork. Job interviews for specific roles in specific industries follow recognisable patterns. If you give an AI tool enough context — the role, the industry, the level, the company's known priorities — it can generate a high-quality approximation of what you will face.
She practised against those questions out loud. When she sat in the actual interview, the questions she encountered closely matched what she had prepared for.
Result: She performed well and received the offer.
STAGE 3 — SALARY NEGOTIATION:
When the initial offer came in at a 30% hike, she did not accept immediately. She used AI again.
She gave the AI: the offer details, her market research on comparable roles, her own assessment of her experience relative to what the role demanded, and asked it to help her frame a professional, persuasive counter-argument.
The AI helped her structure and word the negotiation — not what to feel, but how to articulate her case clearly and professionally.
She presented the counter. The company moved from 30% to 40 to 45%.
THE SKILL UNDERNEATH ALL THREE:
What Disha did is sometimes called prompt engineering. The term sounds technical. It is not.
It is simply: knowing what you need, giving the AI the right context to help you get it, and framing the question so the output is actually useful.
Once you develop that habit of mind, the applications multiply. Resume, interview, negotiation — but also emails, research, analysis, planning, learning, problem-solving. Almost anything where you need to think clearly and communicate effectively becomes faster and better with the tool working alongside you.
The barrier to developing that habit is lower than most people assume. The returns are higher than most people expect.
▶️ Watch Disha's full story: https://youtu.be/gbKZeIpSuko"
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