Paste any text. A prompt, a draft, a brief, a campaign email. Get a 0 to 100 slop tax score with inline highlights of AI tell-words, hedging filler, and horoscope phrases. Tell it what the copy is for and the verdict sharpens to that context. Then cut, re-check, and watch the score move. It never rewrites for you. The judgment stays yours.
Pick what this is for and the verdict sharpens to that context. Optional, but the critique gets more useful.
Edit the copy in the box above (cut the red markers first), then sniff again. The score updates and shows how much you improved. The tool does not rewrite for you. That is the point: the judgment is yours, the diagnostic just makes the slop visible.
Three categories get flagged. Red is the literal AI tell-corpus (delve, leverage, tapestry, landscape, navigate the complexities). Amber is hedging filler (it is worth noting, in conclusion, by and large). Purple is horoscope vagueness (resonates with, drives engagement, best-in-class, moves the needle).
Score is density-adjusted with a square-root dampener. sqrt(markers per 100 words) * 18 gets subtracted from 100. So 1 marker per 100 words costs 18 points. 4 markers per 100 words costs 36. 25 markers per 100 words wipes you out. The dampener means long docs with a few flagged phrases stay readable scores, and short slop-dense snippets land in the heavy-slop range instead of bottoming out instantly. Density matters more than raw count.
The dictionaries are deliberately conservative. The tool catches confident slop. It will not catch every clever evasion. That is the point. The fix is human judgment, not a better detector.
For LinkedIn: screenshot the card above and post it. LinkedIn does not let any tool pre-fill your post text, so anyone who offers a one-click LinkedIn share is quietly dropping what you wrote. The screenshot is the honest mechanic, and it travels further anyway.
Every team that automates without judgment pays a tax in trust, in noise, in the time their best people spend cleaning up after the bot. The essay this tool is named after walks through who pays it, why, and what the alternative looks like.