Tailor your resume to any job description with AI

How it works

Step 1 — Provide a base CV. Upload an existing PDF (AdaptMyCV will parse it into structured data), pick one you've already built on AdaptMyCV, or start from a blank form. Either way you land in an editor with every section (summary, experience, skills, education, languages) fully editable before the tailoring runs.

Step 2 — Paste the job description. Copy the JD as a single block. AdaptMyCV reads it line by line, extracts the explicit keywords (hard skills, tools, certifications), the methodologies (Agile, SOC 2, GAAP), and the seniority signals (lead, senior, 5+ years). You don't pre-tag anything; the model figures out which keywords matter and ranks them.

Step 3 — Review and download. The AI rewrites three sections in parallel — header summary, skills, and experience bullets — and runs a honesty check on the output. You see a coverage report (which JD keywords landed) and an honesty report (any claims that don't map to your source CV) before anything is finalised. The PDF is ATS-friendly by default.

What the Adapt flow actually changes

Tailoring is not “rewrite the whole thing in a new style.” It's targeted: the AI keeps your facts and changes the framing, ordering, and word choice to match the JD's language. Here's a concrete (illustrative) example.

Example is illustrative — the actual model output depends on your source CV. The honesty check would only let Kubernetes and CI/CD land here if your CV already mentioned them; otherwise they'd be flagged for review.

The honesty check — what it actually prevents

Most AI resume tools happily add experience to make your CV “match.” That helps you pass the ATS — and then it fails you at interview, or worse, fails a background check after you've signed.

The honesty check blocks four classes of fabrication:

• Invented work history. No new companies, no changed job titles, no shifted dates. If a JD asks for 5 years of Python and your CV shows 3, your CV still shows 3.
• Invented credentials. No new degrees, no certifications you don't hold (AWS SAA, PMP, Scrum Master, etc.).
• Invented numbers. Percentages, revenue figures, team sizes — only what already appears in your CV gets used.
• Downgraded qualifications. A deterministic post-processor catches the model occasionally reducing a level to match the JD's minimum: English C1 stays at C1 even if the JD says B2. Same for seniority titles and language proficiency.

You can read more about how the honesty check works on the about page.

Four adaptation modes

• Safe — reorders and rephrases what's already in your CV. Doesn't add new claims. ~50-60% ATS keyword match.
• Balanced (default) — adds keywords your CV defensibly supports (e.g. “Scrum” if you mention Agile sprints). ~80-95% keyword match.
• Full Adopt — surfaces every keyword the JD cares about and that your role can credibly support. ~95-100% keyword match.
• Fake Adopt — force-adds every JD keyword including tools you may never have used. 100% match. Flagged in the output metadata so you can review the additions. Use only if you can defend each claim at interview.

Pricing

10 coins per Adapt run. 5 coins = $1, so each tailoring costs about $2. Top-ups start at $5 (25 coins = 2-3 Adapts). New accounts get 10 free coins on signup, so your first tailoring is on the house.

No subscription. No auto-renewal. Refund available within 24 hours on any unused balance — see the full pricing page for top-up sizes.

FAQ