Human signal
Here’s the tiny shell script I use to archive coding-agent sessions locally
It stores the transcript, git diff, and a 5-line summary so I can resume work without rereading everything.
Local-first AI slop blocker · Reddit-first beta
AI Slop Blocker is a local-first feed filter for hiding low-effort AI posts, generic AI comments, recycled “expert” threads, and engagement bait. It starts with Reddit, explains every folded post, and avoids uploading your feed by default.
One intent, one promise: reduce obvious AI slop without pretending to prove who wrote every post.
Direct answer
An AI slop blocker is a feed-quality filter for low-effort AI content. It should hide or fold generic AI posts, recycled listicles, bot-like comments, and engagement bait while leaving useful AI-assisted work alone.
The important distinction: this is not a magical AI detector. A practical AI slop blocker looks for low-value signals — vague claims, template phrasing, missing evidence, repeated hooks, and thin links — then lets you decide whether to fold, badge, hide, or whitelist.
How it works
The extension reads visible feed text in the browser. The MVP starts with Reddit because the pain is clear, communities are searchable, and feedback is fast.
It looks for generic AI phrasing, engagement bait, vague authority claims, repetition, thin affiliate/SEO links, and low information density.
You choose the threshold and action. Suspicious posts show clear reasons, and useful posts can be shown anyway or whitelisted.
Human signal
It stores the transcript, git diff, and a 5-line summary so I can resume work without rereading everything.
Here are 7 unbelievable ways to 10x your productivity. Number 5 will shock you. Thoughts?
Needs review
AI Slop Blocker would badge this, not hide it. You stay in control.
Cloud classifiers can expose sensitive reading context. AI Slop Blocker’s wedge is local-first scoring: visible posts are evaluated in the browser before any optional cloud workflow.
Keyword mutes miss disguised slop and hide useful AI discussions. AI Slop Blocker combines phrase patterns, structure signals, link behavior, and your own overrides.
YouTube/video tools solve a different problem. This project focuses on text-heavy feeds — Reddit first — where repeated comments and generic posts can be folded quickly.
SEO guide
AI slop is not simply “content made with AI.” Useful summaries, code explanations, translations, and drafts can still help people. The problem is low-effort AI content: posts that look polished but add no evidence, no lived detail, no specific answer, and no reason to trust the author.
AI Slop Blocker is being designed for people who open Reddit to find human signal and instead hit recycled growth hooks, vague expert claims, bot-like replies, and thin link drops. The first version focuses on Reddit because users can validate the filter quickly in real communities; later versions can carry the rule set to X and LinkedIn.
A feed filter sees sensitive context: communities you read, work topics you follow, and people you interact with. That is why the MVP should score visible posts in the browser first, explain every folded item, and avoid uploading feed text by default.
The right metric is not “AI detection accuracy.” The right question is whether your feed becomes easier to scan without hiding useful posts. Good filters reduce obvious slop, explain decisions, and make false positives easy to reverse.
FAQ
No. It does not promise to prove whether text was generated by AI. It scores low-effort patterns that make feed posts less useful.
The planned MVP is local-first. Visible feed text is scored in the browser by default, with no feed upload required.
Reddit first, because low-effort AI posts and generic comments are easy to validate in real communities. X and LinkedIn follow after the rule set is useful.