The fight against AI slop grew real tooling this year. Platforms are policing it, researchers are measuring it, and open-source editors are fixing it. Here is the working toolkit, by job.
Report it
LinkedIn shipped a “seems like AI slop” button in July 2026, and more than a million people used it within weeks. The company also blocks hundreds of thousands of automated comment attempts a day. When the largest professional network treats slop as a reportable offense, the era of consequence-free machine posting is over. Ryan Roslansky, who ran LinkedIn for six years, called the pattern a doom loop in a post this August.
Measure it
The slop score is a free command-line meter that grades any text from 0 to 100 on 267 weighted patterns, rhythm, readability, and formatting. Known human writing scores 9 to 21; unedited AI drafts average 77. It runs locally, so nothing you write leaves your machine.
Fix it
Five open-source editors rewrite AI drafts toward human range. In our public 18-draft replay, Zero Slop led with a mean of 15.4 and 18 of 18 passes, followed by humanizer at 24.3 and stop-slop at 24.7. The full ranking, with method and data, is on the best AI slop editors page.
Understand it
Wikipedia’s editors keep a living catalog of AI writing signs, the closest thing to a field guide. For depth: the Stanford and BetterUp workslop study measured what low-substance AI writing costs at work, Kobak and colleagues traced LLM fingerprints across 15 million scientific abstracts, and the RAID benchmark showed why detection alone cannot save you.
The pattern across all four jobs is the same. Slop is no longer a taste debate. It is reportable, measurable, and fixable, and the tools for each are free. Start with the one-command install, or read what AI slop actually is and what it costs.