Data Minimization: Rewriting Prompts to Use Only Job-Relevant Evidence

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1How LLMs Fit in TA: Draft Fast, Verify Hard 2Prompt-as-Spec: Turning Intake Notes Into a Reviewable JD Draft 3Trust but Verify: Hallucination and Bias Checks for JD Drafts 4Outreach Drafts With Tone, Personalization, and Professional Boundaries

5What You Can Paste Into AI: A TA Data Classification Habit

6Data Minimization: Rewriting Prompts to Use Only Job-Relevant Evidence

7Redaction for Resumes and Interview Notes: A Practical, Repeatable Routine 8Retention, Access, Vendor Triggers, and the AI-Use Log

9What “Compliant” Means in AI-Assisted Hiring 10Job-Related and Defensible: Turning Criteria Into Evidence-Based Rationales 11Disparate Impact Risk: Where It Enters the Workflow 12Is It an AEDT-Like Tool? Recognizing Scoring, Ranking, and Filtering Risk 13Jurisdiction Triggers I: NYC Local Law 144 and Illinois Video Interview AI 14Jurisdiction Triggers II: Colorado, GDPR, and California—Human Review and Escalation Questions

15From Intake Notes to a Calibrated Job Description Draft 16Inclusive and Job-Related JD Rewrites Without Credential Inflation 17Sourcing Persona and Adjacent-Title Mapping With a Human Reality Check 18Boolean and X-Ray Strings You Can Reuse and Improve 19Outreach Drafts With Tone Control, Safe Personalization, and Minimal Logging

20From Job Description to Screening Rubric 21Evidence-Mapped Resume Summaries With Unknowns Labeled 22Neutral, Evidence-Based Screening Notes: Removing Overclaiming 23Prompting to Prevent Ranking and Preserve Human Judgment 24Structured Interview Guide Aligned to the Rubric 25Scorecards, Jurisdiction Triggers, and Documented Human Review

26Debrief Summaries: Evidence-to-Rubric Mapping Without Overreach 27Remove AI Certainty: Make Human Decision Ownership Explicit 28Candidate Communications: Templates With Tone, Equity, and Process Integrity 29The Safe Details Rule: Prevent Leaks, Speculation, and Inconsistent Rationales 30Lightweight TA AI Governance: Policy, Checklist, Escalation, and Logging

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Data Minimization: Rewriting Prompts to Use Only Job-Relevant Evidence