Land Jobs With AI · Job Search With AI
Create a CV
Turn experience into a standout CV
Build a CV That Works
Imagine this: you spend an hour polishing your CV, hit send on 15 applications, and hear nothing back. Not because you lack experience, but because your CV reads exactly like the last 200 CVs in the pile. This lesson fixes that.
Let's get started!
CV Writing Strategy
You'll build a master CV, then learn how to adapt it for each specific position. Different roles prioritize different skills — even within the same field. A Senior Marketing Manager posting might emphasize analytics and team leadership, while a Growth Marketing role at a startup wants scrappy experimentation and speed. Your CV needs to reflect that every time.
Anatomy of a Strong CV
Before you start writing bullet points, you need to understand what goes where. A well-structured CV has a clear hierarchy: a concise professional summary at the top, followed by experience, skills, and education.
Each section earns its place by answering a specific employer question:
- Your professional summary (2-3 sentences) adapts your positioning statement for the role.
- Experience leads with outcomes, not duties. This is the core — reverse chronological, with 3-5 bullet points per role.
- Skills list specific tools, methods, and competencies relevant to the job.
- Education goes last unless you're early-career.
A strong CV doesn't try to list everything — it shows what you're capable of, what results you've delivered, and why you're relevant to this specific role.
The Master CV Approach
Instead of rewriting your CV from scratch for every application, build a master CV — a comprehensive document capturing all your roles, achievements, skills, and projects. You'll never send it directly; it's a source to pull from when tailoring a focused, role-specific version for each application.
Select all that apply
What makes a CV stand out to employers?
Write Your Professional Summary
The professional summary sits at the top of your CV — it's the first thing a recruiter reads. Two to three sentences that answer who you are, what you do best, and what you are targeting. If you wrote a positioning statement in the previous lesson, this is where it gets adapted for the specific role.
practice preview
Interactive practice
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Help Gabi write a CV summary for a Technical PM role.
Build Your Skills Section
Your skills section should list the specific competencies relevant to your target role — organized into clear categories like tools, methodologies, and domain knowledge. For Gabi that might be: "AutoCAD, SolidWorks, Agile, Lean Six Sigma, Jira, stakeholder reporting."
Keep it scannable and honest. If you can't answer interview questions about a listed skill, leave it out.
Write Results-Focused Bullet Points
The most common CV mistake is listing responsibilities instead of results. "Managed social media accounts" tells an employer what you were assigned — "Grew organic social engagement by 60% over 12 months" tells them what you delivered.
ChatGPT handles bullet rewrites well, but it can only sharpen what you give it. Vague input gets polished-sounding filler.
practice preview
Interactive practice
Fill in the blank
Help Dip Singh improve a CV bullet with ChatGPT.
Choose one
Dip Singh's bullet sounds more polished now. What's still wrong with it?
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Interactive practice
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Now give ChatGPT Dip Singh's actual results to work with.
Evidence Does the Work
Same role, completely different bullet. The second version works because Dip Singh gave ChatGPT real numbers and outcomes — the AI just tightened the language and structure. That's the pattern: you supply the evidence, AI sharpens the delivery.
Quantify Your Impact
Numbers are the fastest way to make a bullet point credible — revenue generated, costs reduced, time saved, percentage improvements. Most achievements can be quantified with a bit of thought: if you managed a process, how many people or steps were involved? If you improved something, by how much?
practice preview
Interactive practice
Fill in the blank
Help Gabi rewrite an engineering bullet for a PM resume.
Translate Experience Into Language That Fits
Gabi's engineering work already involved project management — scope, budget, timelines, cross-functional teams. If you're switching fields, this is one of the most valuable things AI can do: translate what you've done into the vocabulary of where you're going.
Get Past the ATS
Before your CV reaches a human, it usually passes through an Applicant Tracking System (ATS) — software that scans for keywords matching the job description. It looks for specific skills, tools, certifications, and role-related terms. If your CV doesn't include them, it gets filtered out regardless of your qualifications.
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What's the best approach to ATS keyword optimization?
The fix is aligning the language of your real experience with the language the job posting uses. Claude is useful here. It handles longer inputs well and can compare your CV text against a full job description without losing nuance.
practice preview
Interactive practice
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Help Dip Singh align a bullet point with a job description.
Language Match
Claude pulled keywords directly from the job requirement — "marketing automation," "data-driven," "campaign optimization" — and wove them into Dip Singh's experience. The bullet still sounds natural. That's the key: match the employer's language without inventing skills you don't have.
From Master CV to Tailored Version
Your master CV holds everything, but each application needs a focused version — one page for early-career roles, two pages maximum for senior positions. This doesn't mean rewriting from scratch: with a strong master CV, you're cutting and adjusting.
Claude handles this well — give it your master CV and the job description, and it will suggest which sections to prioritize and which bullets to adjust.
practice preview
Interactive practice
Fill in the blank
Help Gabi adapt her master CV summary for a specific posting.
Same Background, Sharper Story
Gabi's summary now speaks directly to the Technical PM role without inventing experience. Claude kept her engineering background front and center but reframed it in relevant terms — "end-to-end project delivery," "stakeholder coordination."
- Evidence over polish: A strong CV shows measurable results, not impressive-sounding descriptions. Numbers, outcomes, and specific tools make bullet points credible.
- AI sharpens the result: ChatGPT and Claude can tighten your phrasing and align your language, but only if you provide real achievements, metrics, and context first. It doesn't invent facts for you.
- ATS alignment is about language: Matching your real experience to the job description's terminology gets your CV past automated filters without resorting to keyword stuffing.
- Master CV plus tailoring beats rewriting: One comprehensive document as your source, plus a tailored version for each application, keeps your narrative consistent and your process efficient.
What's Next
Your CV is taking shape — results-focused, evidence-backed, and ready to tailor. In the next lesson, you'll learn how to create the supporting documents that strengthen your application. Let's keep going!
