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AI Detector for HR & Recruitment

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Screen resumes, cover letters, and applications for AI-generated content

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The hiring landscape has been transformed by AI writing tools. Candidates are using ChatGPT, Claude, and other AI models to write cover letters, craft resume bullet points, answer application questions, and even complete writing assessments. While some AI assistance may be acceptable, HR professionals need to know when a candidate's application materials are entirely AI-generated -- because those materials are supposed to represent the candidate's actual communication skills.

Coda One's AI Detector for HR helps recruiters and hiring managers screen application materials efficiently. The per-sentence analysis is invaluable for cover letters: it reveals whether a candidate wrote their own narrative (with some AI polish) or submitted a fully AI-generated letter. This distinction matters for roles where writing ability is a core competency -- marketing, communications, content strategy, customer success, and similar positions.

Beyond cover letters, the detector helps evaluate writing assessments, email samples, and portfolio pieces that candidates submit during the hiring process. If your company uses take-home writing exercises to evaluate candidates, running submissions through the detector provides an objective data point about authenticity. The tool is completely free and unlimited, requiring no procurement process or vendor approval -- any recruiter or hiring manager can use it immediately with no signup.

Frequently Asked Questions

Should we reject candidates who use AI in applications?
Not necessarily. The key question is whether the role requires strong writing skills. For a software engineer, AI-assisted cover letters may be acceptable. For a content strategist or communications manager, fully AI-generated materials are a red flag. Use detection results to inform your evaluation, not as an automatic filter. The per-sentence breakdown helps distinguish between AI-assisted (some human, some AI) and fully AI-generated.
How accurate is detection for cover letters and resumes?
Cover letters are well-suited for AI detection because they contain enough prose for meaningful analysis (typically 200-500 words). Resume bullet points are too short for reliable individual analysis, but pasting an entire resume's text content can reveal patterns. Cover letters and application essay answers provide the most reliable detection results.
Can candidates beat the detector by editing AI-generated content?
Light editing preserves most AI patterns and will still score high. Significant rewriting that adds personal voice and specific details will reduce scores -- but at that point, the candidate has invested genuine effort in customization. Our per-sentence analysis reveals which parts were edited versus left as AI-generated.
Is it legal to use AI detection in hiring?
AI detection for screening application materials is generally permissible, similar to plagiarism checking. However, we recommend using results as one evaluation factor alongside interviews and other assessments, not as a sole disqualification criterion. Consult your legal team regarding specific jurisdiction requirements and internal hiring policies.
How do we handle writing assessments that might be AI-generated?
Run the submitted assessment through the detector, then compare the writing quality with the candidate's performance in live settings (interviews, on-the-spot writing exercises). If there's a significant gap between their polished submission and their live writing ability, combined with a high AI detection score, that's a meaningful signal.

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