Understanding AI Scoring & Ethics

CV Booster Team

Updated recently

5 min
Table of Contents
Methodology

Inside the Engine:
Ethics, Accuracy & AI Scoring

We built CV Booster to help candidates translate their experience, not fabricate it. Here is a transparent look at how our scoring algorithms work and how we ensure ethical, interview-ready results.

Optimization vs. Fabrication

What We Don't Do (Fabrication)

  • Inventing metrics you never achieved.
  • Adding skills you didn't upload in your logs.
  • Writing "fluff" that creates a false impression of seniority.

What We Do (Optimization)

  • Translating your raw tasks into "Recruiter Language."
  • Re-ordering bullet points to match the Job Description's priority.
  • Quantifying impact based on data you provided.

How the Algorithm Scores You

When you upload a resume, our engine doesn't just "read" text. It parses the document into structured data points and runs a semantic analysis against industry standards.

1. Semantic Relevance

Do you speak the industry language?

We map your skills against a vector database of job descriptions. If you say "managed servers" but the job asks for "AWS Cloud Orchestration," we flag the gap in terminology.

2. Impact Density

Are you doing or achieving?

We scan for "Action + Result" structures. A bullet point stating "Responsible for sales" scores low. "Increased sales by 20% via new CRM" scores high.

3. ATS Parseability

Can the machine read you?

We simulate older ATS systems. If your columns, icons, or fancy fonts break the text extraction, your score drops. This protects you from auto-rejection.
Safety First

The "Collaborative" Approach

We understand that AI can make mistakes. That is why CV Booster is not an "Auto-Pilot" system—it is a "Co-Pilot" system.

We never generate a final PDF directly from the AI. We force an intermediary step: The Editor. This ensures:

  • You validate every claim before it goes to print.
  • You can tone down adjectives that feel "too braggy."
  • You own the final output, ensuring you can defend it in an interview.
Validation Loop
Draft Generation AI
Fact Checking Human
Final Approval Human

A Note to Recruiters & Career Coaches

We are often asked if this tool makes the hiring process harder. The data suggests the opposite. By helping candidates structure their chaotic thoughts into clear, readable formats, we help Recruiters find the right talent faster. We don't hide bad candidates; we help good candidates stop hiding their own value behind poor formatting.

Common Questions on AI Ethics

Does the AI keep my data to train itself?
We employ strict data isolation. Your resume data is used solely to generate your documents. We do not use user data to train public models, ensuring your career history remains private.
Will ATS reject my CV if it's AI-generated?
Actually, the opposite is true. We generate the final PDF using LaTeX, which produces the cleanest, most machine-readable code structure possible. ATS systems prefer our format over complex Canva or Word designs.
How accurate is the scoring?
Our scoring is based on known heuristics used by major Applicant Tracking Systems (ATS) and Recruiter preferences (brevity, impact verbs, measurable results). It is a guideline to improve probability, not a guarantee of employment.

Curious how your CV scores?

See the data yourself. Upload your resume to our secure engine and get an instant, ethical analysis of your profile strength.

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