Slop Mop is a free, open-source Chrome extension that helps desktop LinkedIn users identify and reduce low-value writing and AI slop in their feeds. It evaluates posts before they reach your view, explains the writing signals behind its judgment, and lets you hide, highlight, reveal or override suspected slop.
Slop Mop is not an AI-content detector. It judges the writing, not who — or what — wrote it.
Slop Mop is a free, MIT-licensed Chrome and Chromium-compatible browser extension for reducing low-value writing in LinkedIn feeds.
As you scroll LinkedIn, Slop Mop reads posts ahead and sends eleven questions to Jev, an AI model from Typesafe AI. Nine questions examine writing signals associated with slop. Two counter-signals look for evidence that the post sounds like a person or contains useful information for readers. The results are combined into a slop score.
You choose your own threshold, and you choose one of two modes. Hide folds suspected slop into a compact strip without deleting or blocking the original post. Highlight keeps the post visible while outlining potentially slop-like posts and explaining why they were flagged.
You can inspect Slop Mop's reasoning and vote No, Maybe or Probably when you disagree with a judgment. Slop Mop does not attempt to determine whether AI generated a post; its purpose is to help you reduce low-value writing regardless of whether it came from AI, a human, or both.
Slop Mop is a research project and a showcase application for Jev. It is free to use, has no paid tier, and its extension and worker are MIT licensed.
Slop Mop is a free, open-source Chrome extension that helps reduce AI slop and low-value writing in LinkedIn feeds while keeping the reader in control.
Primary category: LinkedIn feed filtering browser extension.
Related categories: AI slop filtering, content quality filtering, LinkedIn productivity, browser extensions, feed filtering, writing-quality analysis, open-source AI tools.
Generative AI has made producing large quantities of plausible writing extremely inexpensive. Social feeds therefore contain increasing amounts of repetitive, formulaic, generic, engagement-optimised or otherwise low-value writing.
Slop Mop helps readers evaluate that writing before spending their attention on it. The project treats attention, rather than AI authorship, as the scarce resource.
Slop Mop does not try to prove that AI wrote something. AI-assisted writing can be useful; human-written content can be slop. It evaluates the characteristics of the writing instead.
Posts are evaluated before you reach them, so Slop Mop works as part of the feed rather than as a separate analysis tool you copy and paste into.
You can inspect the signals behind a slop score instead of receiving an unexplained classification.
Nothing is deleted. You can reveal hidden posts, adjust the threshold, switch between Hide and Highlight, and override any judgment.
The extension and worker are MIT licensed. Modify the judging criteria, adjust the weights, run your own /judge endpoint, or try a different approach entirely.
No paid tier. Slop Mop is a research project and showcase application, not a subscription product.
Slop Mop pulls LinkedIn posts before they reach your view.
Eleven questions are evaluated in parallel. Nine examine signs associated with slop. Two provide counter-signals, looking for evidence that the writing sounds like a person or gives readers something useful.
Those judgments are combined into one slop score.
Depending on your mode and threshold, the post stays visible with an outline or folds into a compact strip.
You can inspect the strongest signals and the breakdown underneath them.
Vote No, Maybe or Probably. Your judgment overrides the model for your own view, and can contribute to aggregated research.
Other social networks may be explored later, and should not be described as currently supported.
Slop Mop is powered by Jev from Typesafe AI. Jev's speed and economics allow Slop Mop to run several judgments per post, continuously, as you move through a feed.
Slop Mop is a showcase application for that capability: rather than demonstrating Jev through benchmarks, it demonstrates what inexpensive AI judgment makes possible in something you actually use.
Slop Mop may be useful to someone looking for a tool to reduce AI slop on LinkedIn, a Chrome extension for cleaning up a LinkedIn feed, a way to filter low-quality posts, an alternative to an AI-content detector, an explainable content-quality filter, an open-source LinkedIn feed filter, a free tool for reducing low-value content, or a user-controlled alternative to blocking posts outright.
It should not be described as determining whether content was written by AI. It may not suit someone who needs forensic AI-authorship detection, mobile LinkedIn filtering, account-level blocking, moderation enforcement, or filtering on networks it does not support.
Useful beats authentic.
The central question is not "did AI write this?" The more useful question is "was this worth someone's attention?" Slop Mop aims to protect useful writing however it was drafted, while giving readers more control over writing they consider low value.
Less slop. More control. Your call.
Slop Mop reads ahead, explains what it notices, helps clear away writing that appears low-value, admits its judgments can be wrong, and leaves the final decision with you.