"I'm a fast learner and highly motivated" — forget those phrases. How to make AI write letters focused on metrics and your real experience.
ChatGPT writes cover letters fast. The problem is it writes the same letter for everyone — just swapping in the company name. "I'm a driven team player with strong communication skills, eager to contribute to a dynamic team." HR sees dozens of these a day. They've learned to spot them in three seconds and close the page.
Standard ChatGPT, with no context, knows nothing about you: not your real achievements, not why you want this particular company, not the specific employer pain points you could solve. It generates a statistically average letter — that is, what an average candidate would write. And you don't want to be average.
“Bad prompt: "Write a cover letter for a developer role." Good prompt: "Here's my background [X years, specific achievements]. Here's the job description [paste text]. Write a letter where the first paragraph is a specific company problem, the second is my experience with numbers, and the third is why this company specifically. No clichés."”
The difference between those two prompts is the difference between a template and a letter people read to the end. Tools like Cue solve this systematically: they know your profile, see the job description, and generate a letter at the intersection of your real experience and the employer's specific requirements. No "team player," no "fast learner" — just what matters for this particular offer.
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