ATS (Applicant Tracking System)
Software used by employers to filter and rank job applications by scanning resumes for keywords, formatting, and relevance. AI resume builders optimize output to pass ATS screening.
Why it matters
Most medium and large employers run resumes through an ATS before a human ever sees them, so a strong candidate can be filtered out simply for formatting quirks or missing keywords. Understanding this changes how you write a resume: you tailor it to the job description and avoid designs the software cannot read. Getting past the ATS is often the difference between an interview and silence.
A concrete example
A marketing applicant copies exact phrases from the posting, such as "content strategy" and "email campaigns," into their experience section, and saves the file as a simple .docx instead of a graphic-heavy PDF. The ATS now matches their resume to the role and forwards it to a recruiter. A quick tip: skip tables, text boxes, and columns, since many trackers scramble or drop text inside them.
How to use it
Write for the human who will read the shortlist, while making sure a parser can read the file: a standard structure, real section headings, dates in an ordinary format, no text trapped inside images or complex multi-column layouts. Mirror the language of the job description where it genuinely applies to you, because that is what the search is over.
The common mistake
Keyword-stuffing or hiding white text. Modern systems catch it, recruiters notice it, and the version that gets you filtered in still has to survive a person reading it thirty seconds later.
Related terms
Semantic Search
Search technology that understands the meaning and context of a query, not just keyword matches. Finds 'vehicle maintenance tips' when you search for 'car repair advice.'
Bias (in AI)
Systematic errors in AI outputs reflecting prejudices in training data. Can manifest as gender stereotyping, racial assumptions, or cultural insensitivity in generated content.
Agentic AI
AI systems that operate autonomously over extended tasks — planning, executing, and self-correcting without step-by-step human guidance. Unlike chatbots, agentic AI sets sub-goals, uses tools, and adapts its strategy based on intermediate results.
AI Agent
An autonomous AI system that can perceive its environment, make decisions, and take actions to achieve goals — like managing your email, scheduling meetings, or monitoring data.
AI Disclosure
Stating that AI was used in producing a piece of work, where a policy, client or publisher requires it. Distinct from permission: some contexts allow AI use but require it to be declared.
Benchmark
A standardized test or dataset used to evaluate and compare AI model performance. Common benchmarks include MMLU (knowledge), HumanEval (coding), and MT-Bench (conversation). Helps users choose the right model for their needs.