How to get useful feedback on your writing from AI
Context is everything. "Is this good?" produces vague praise. Instead give three things: who the reader is, what you want them to do or feel after reading, and where you suspect the draft is weak. "Cover letter for a senior data analyst role at a bank, I want an interview, the second paragraph feels generic" gets you notes you can act on.
Ask for feedback before asking for a rewrite. Feedback shows you why something does not work, which improves your next draft too. If you then want examples, ask for two or three alternative versions of a single sentence rather than a full rewrite, so your voice stays intact.
Why multiple critics beat a single reviewer
Every reviewer reads through a lens. An editor sees structure, flow and wordiness. A target reader tells you whether they kept reading and what they felt. A skeptic hunts for unsupported claims and clichés. When these perspectives disagree (the editor wants it shorter, the reader wants more proof) you learn exactly where the tradeoff is, and the judge helps you decide.
Pick critics that match the stakes. For a cover letter, use a recruiter, a hiring manager and a skeptic. For a landing page, use a copywriter, a first-time visitor and a competitor. For fiction, use an editor, a genre fan and a sensitivity reader. Two or three rounds are usually enough: the first surfaces problems, the next ones test whether the proposed fixes actually help.
A quick editing checklist
Top-down order saves time: fix the argument and structure first, then paragraphs, then sentences, then word choice. Check that your first sentence earns the second. Replace abstract claims with specifics (numbers, names, examples). Cut qualifiers like "very," "really" and "in order to." Read the final version aloud; anything you stumble on, your reader will too.