Résumés and cover letters that don't sound like AI

Let's get practical about the two documents AI helps with most — résumés and cover letters — and how to use AI so they're tailored and human, not generic AI output that gets ignored.

Résumés — tailor to each role.

• Match the job description. For each application, use AI to align your résumé with that role: mirror the real language the job posting uses for skills and responsibilities you genuinely have. This relevance is what matters (and, as the next lesson explains, it's the real story behind "ATS" — not keyword tricks).
• Sharpen your bullets. Turn duties into results: ask AI to help rewrite "responsible for social media" into "grew Instagram following 40% in six months by..." — using your real numbers.
• Keep clean, standard formatting so it's easy to read (for both software and humans). Skip fancy graphics/columns that can confuse systems.
• Tailor per application — don't send the same generic résumé everywhere. AI makes per-role tailoring fast.

Cover letters — the human touch is everything.

• The #1 mistake: generic AI slop. Recruiters read hundreds of cover letters, and AI-written ones have tells — uniform structure and telltale phrases. The most notorious giveaway opener: "I am writing to express my strong interest in the [Position] role at [Company]." If your letter sounds like that, it signals "generic AI" and gets skimmed past.
• Use AI to draft, then make it yours. Let AI structure a first draft, then heavily personalize it: add a specific reason you want this job at this company, a genuine detail about your fit, your real voice. A personalized letter with AI help beats both a purely generic AI letter and a rushed human one.
• Be specific and personal — reference the actual company, role, and a real connection or accomplishment. Specificity is the opposite of AI slop, and it's what gets you noticed.

The through-line: AI drafts and tailors fast, but you provide the personalization, real details, and human voice that make these documents land. Tailor to each role, keep it true (last lesson), and never let it read as generic AI output.

The mindset: use AI to make résumés and cover letters tailored and human, not generic. For résumés: tailor to each job description (mirror the real language for skills you have), sharpen bullets into quantified results, keep clean formatting, and customize per application. For cover letters: avoid the generic-AI-slop tells (like the notorious "I am writing to express my strong interest..." opener), and use AI to draft but then heavily personalize with specific, genuine reasons you fit this role at this company. AI provides speed; you provide the personalization and voice that actually get you noticed.