AI Resume / CV Optimizer
AIJOBSOTHER
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. Supports GPT-4o-mini and GPT-4o via your OpenAI API key.
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 |
openAiApiKey |
string | Yes | Your OpenAI API key (sk-...). Get one at platform.openai.com |
model |
string | No | gpt-4o-mini (default, fast) or gpt-4o (thorough) |
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"
}
API key
This actor requires your own OpenAI API key. GPT-4o-mini costs approximately $0.15 per million input tokens — a typical CV + JD analysis uses under 2,000 tokens, making each run a fraction of a cent.
Get an API key at platform.openai.com/api-keys.
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)