Glossary

Clear definitions of terms used across job search, Applicant Tracking Systems, and Fursa's AI features.

ATS (Applicant Tracking System): Software used by employers to receive, parse, store, and filter job applications. Common ATS platforms include Greenhouse, Lever, Ashby, Workday, iCIMS, and Workable. Most resumes are filtered by an ATS before any human review.
ATS Score: A heuristic measure of how well a resume is likely to be parsed and matched by an ATS. There is no single official ATS score; different tools and parsers score differently. A meaningful score weighs parseability, keyword match against the job description, section completeness, formatting, and length.
AURA: Fursa's AI resume builder. AURA runs an iterative refinement loop per job (generate, ATS-score, refine) across up to 3 passes, targeting 90%+ ATS compatibility while preserving the user's real experience without fabrication.
Archetype Gating: A pre-generation step that classifies a job into a role archetype (e.g., backend engineer, data scientist, product manager) and filters out resume content that doesn't fit the archetype. Helps ensure the generated resume reads as role-appropriate rather than as a generic skill dump.
Auto-Submit: Automated submission of a tailored job application to an ATS portal. Fursa uses Playwright browser automation to auto-submit to Greenhouse, Lever, Ashby, Workday, iCIMS, and Workable. The submission contains the user's real details and tailored resume. No fabrication.
Cover Letter Model: The AI model used to generate cover letters tailored to each job description. Fursa uses Claude Haiku for cover letter generation, balancing speed and quality for routine generation.
Crawler: A scheduled job that fetches new postings from a job board's public listings or API. Fursa runs 13+ crawlers every 30 minutes with repost dedupe and source-health monitoring.
Keyword Stuffing: The practice of inserting many job-relevant keywords into a resume (often as white text or hidden) in an attempt to game ATS keyword matching. Detected by all modern ATS platforms and visible to recruiters in scorecards. Actively harmful, not helpful.
Manifest V3 (MV3): The current Chrome extension manifest version, required by Chrome since 2024. The Fursa Chrome extension is built on MV3.
Parseability: The degree to which an ATS parser can correctly extract structured fields (name, email, phone, work experience, education, skills) from a resume. Single-column layouts, standard headings, and real text (not images) all improve parseability.
Repost Dedupe: Detecting when the same job is posted multiple times across sources (or re-listed by the same employer to refresh visibility) and surfacing only one canonical record to the user.
Scam / MLM Detection: Heuristic detection of job listings that are scams, multi-level marketing schemes, or otherwise low-trust. Fursa runs detection on every crawled job using keyword and pattern heuristics (downline language, no-experience-required earning claims, unrealistic comp).
Scorecard: A recruiter-configurable set of keywords, requirements, and optional rubric items used by ATS platforms (especially Greenhouse) to score and surface candidates. Visible to recruiters during review.
STAR Story Bank: A user-curated collection of behavioral interview answers structured as Situation, Task, Action, Result. Reused across mock interviews and real interviews to maintain consistency.