Blog — college application tips
TL;DR
- AI-generated recommendation letters have a "voice" — vague praise, repeated sentence structures, zero specific memories — and readers pick up on it fast, even without a detector.
- Admissions committees and hiring managers read hundreds of these things a year. They know what a template sounds like.
- Detection tools aren't even the main problem. The bigger issue is that generic letters just don't do the job a recommendation letter is supposed to do.
- If you're going to use AI in the process, the fix isn't avoiding it entirely — it's making sure the final version doesn't read like a...
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TL;DR
- A generic recommendation letter is basically a wasted opportunity. Scholarship committees read hundreds of these and can spot a template from a mile away.
- The best letters are specific, personal, and tell a story about growth, not just a list of achievements the student could've listed themselves.
- Who you ask matters less than what they know about you. A coach who's watched you grind for three years beats a principal who barely remembers your name.
- Give your recommender material to work with. Don't just ask and disappear.
- Tools like recommendationletters.pro exist for a reason. Writing...
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