Check

Brief

Run a pre-send review

Paste a draft; get a prioritized list of fixes across clarity, action, tone, inclusion, risk, and mechanics, then a corrected version.

The prompt

Review this email before I send it and tell me what to fix.

Context: the draft: [paste]. Who it’s going to: [audience]. What it needs to achieve: [the one action or understanding].
Audience: an editor’s review for the sender — be specific and prioritize.
Tone: direct and practical; no praise sandwiches.
Must include:
– Clarity: is the point obvious in the first two lines?
– Action: is there one clear ask, with a deadline and a way to do it?
– Tone: anything that could read as cold, flippant, or corporate
– Inclusion and accessibility: idioms, jargon, assumptions, link text, reading level
– Risk: anything that sounds like a promise, a legal or HR commitment, or confidential information
– Mechanics: names, dates, numbers, and links that don’t match each other
Constraints: rank issues by impact; quote the exact text for each; suggest a rewrite for anything you flag.
Output: a prioritized list of fixes, then a corrected version of the draft.

Works in

Any AI tool

How to use

Tell it the one thing the email must achieve. Every finding gets judged against that, not against taste.

Related Resources

The prompt

Review this email before I send it and tell me what to fix.

Context: the draft: [paste]. Who it’s going to: [audience]. What it needs to achieve: [the one action or understanding].
Audience: an editor’s review for the sender — be specific and prioritize.
Tone: direct and practical; no praise sandwiches.
Must include:
– Clarity: is the point obvious in the first two lines?
– Action: is there one clear ask, with a deadline and a way to do it?
– Tone: anything that could read as cold, flippant, or corporate
– Inclusion and accessibility: idioms, jargon, assumptions, link text, reading level
– Risk: anything that sounds like a promise, a legal or HR commitment, or confidential information
– Mechanics: names, dates, numbers, and links that don’t match each other
Constraints: rank issues by impact; quote the exact text for each; suggest a rewrite for anything you flag.
Output: a prioritized list of fixes, then a corrected version of the draft.