AI resume rewriters have a credibility problem. Most will invent experience if you let them. MeritSlate's rewriter has one absolute rule:
Never invent employers, titles, dates, degrees, or metrics.
Here's how to stay on the right side of that line.
Where the line is
Tailoring (fine)
- Reordering bullets so the most relevant ones go first
- Swapping synonyms when the JD uses a different word for the same skill
- Quantifying outcomes you actually achieved
- Moving skills into the summary when they're buried at the bottom
Lying (not fine)
- Inflating team size or budget
- Backdating an internal transfer so it looks like two companies
- Adding a tool you only saw a demo of
- Writing metrics you never measured
The test for every edit: could you defend the line, as written, in the interview? Tailoring changes emphasis and vocabulary; lying changes facts. The same rule governs quantifying your bullets — honest estimates pass, invented precision doesn't.
What to do when you're under-qualified
You still have two levers:
- 1
Lead with transferable experience
If the JD asks for Python but you used R heavily, highlight the statistical rigor — it's the underlying skill the hiring manager wants.
- 2
Use a portfolio link
One well-built side project beats three inflated bullets — it's evidence nobody has to take on faith.
Want to see this in action? Run a Merit Score — you'll see where you're genuinely short vs just missing keywords you already have.
Written by
MeritSlate Team
The team building MeritSlate's deterministic scoring engine — nine evidence-anchored axes, a nine-vendor ATS parse simulation, and every point backed by receipts.