AI Resume / CV Optimizer

Paste your CV and a job description to get instant AI-powered feedback. Scores keyword alignment, identifies skill gaps, highlights structural issues, and returns ready-to-use rewrite suggestions. No API key, no setup — you pay per analysis.

What it does

This actor takes a CV / resume and a job description, then uses an LLM to produce a structured analysis:

• Match score (0–100) — Overall fit based on keyword and skills alignment
• Verdict — One-sentence screening assessment
• Strengths — What the CV already does well for this role
• Skill gaps — Required skills or keywords missing from the CV
• Structure feedback — Layout, formatting, and presentation notes
• Action items — Prioritized list of improvements to make
• Rewrite suggestions — Ready-to-use text for weak or missing sections

Input

Field	Type	Required	Description
cvText	string	Yes	Full text of the CV/resume (plain text or Markdown)
jobDescription	string	Yes	Full job description text including requirements

Output

Each run produces a single dataset record:

{
  "matchScore": 72,
  "verdict": "Strong candidate — TypeScript and Node.js match well but cloud platform experience is missing.",
  "strengths": [
    "TypeScript and Node.js listed in skills match required stack",
    "5+ years of experience meets the seniority requirement",
    "Docker experience aligns with containerization nice-to-have"
  ],
  "skillGaps": [
    "No mention of AWS, GCP, or Azure — cloud platform required",
    "CI/CD pipeline experience not demonstrated with specific tools",
    "NoSQL database experience not listed"
  ],
  "structureFeedback": [
    "Add a concise professional summary at the top",
    "Quantify achievements — replace 'improved performance' with specific metrics"
  ],
  "actionItems": [
    "Add a cloud platform certification or project to address the AWS/GCP gap",
    "List CI/CD tools (GitHub Actions, Jenkins) in the skills section",
    "Add MongoDB or Redis to database skills"
  ],
  "rewriteSuggestions": [
    "Skills: 'PostgreSQL, Redis' → expand to 'PostgreSQL (primary), Redis (caching), MongoDB (exploratory)'"
  ],
  "model": "gpt-4o-mini",
  "analyzedAt": "2026-05-27T10:00:00.000Z"
}

Pricing

$0.10 per run start + $0.01 per analysis.

There is nothing else to pay — the AI cost is included. No API key to obtain, and no separate vendor bill to reconcile.

Notes

• CV text can be plain text, Markdown, or copy-pasted from a PDF
• The actor runs a single LLM call per run — no storage or external requests beyond OpenAI
• Results vary slightly between runs due to model temperature (set to 0.3 for consistency)