jd-screening

Rule-based job screening evaluates postings by loading a configured screening-rules document to apply passthrough filters and highlight positive signals. This automated workflow cross-references company data to flag risks and determines final application recommendations.

Risk-aware job screening cross-references private company information and runs validator checks to detect turnover or investment flags. It surfaces warnings when data completeness is low to support informed application decisions.

You can automatically classify and save job analysis reports by generating summary tables, interview notes, and final judgments. The system saves detailed evaluations privately and routes the original job posting file into conditional folders for follow-up.

Evaluating job postings with a rules engine requires a configured screening-rules document and extracted job description files in your active job postings directory. The workflow analyzes these inputs to generate screening summaries, interview notes, and classification recommendations.

Automated job screening processes resume-builder job postings or extracted URLs by applying rule-based evaluation and company-specific risk assessment. It systematically compares each posting against personalized screening rules to decide whether to apply.