AIWritingToolContentCreationBrowserExtension

Anti-AI-Slop Writing Checker

One-click detection and rewriting of AI-flavored text for writers, editors, and marketers

Problem
A developer built an anti-AI-slop skill that catches 41 AI writing patterns including ~120 AI words, ~100 phrases, em dashes, emoji bullets, title case headings, watermarks, and negative parallelism. This shows users have a strong distrust of 'obviously AI-generated' articles, even avoiding products that feel AI-generated with little effort. On Reddit, users say if a site feels AI-generated with minimal effort, they won't trust or use it.
Solution
A writing assistant that scans text in a browser extension or web editor, gives an AI-slop score with highlighted issues, and offers sentence-level 'more human' rewrite suggestions. Users can preserve meaning, adjust tone, and avoid specific clichés. The core is not ghostwriting but keeping the author in control while producing trustworthy content.
Users
Indie bloggers, content marketers, SEO writers, PR and social media editors, and small-team founders who need to publish credible content.
MVP
Implement 30-50 common AI slop rules (AI words, sentence patterns, punctuation, emoji lists); provide a browser extension or simple paste-in interface; one-click scan with color-coded issues; show a rewrite suggestion for each issue, copyable for replacement; export cleaned text.
Revenue
Free basic detection via browser extension; Pro subscription unlocks advanced rewriting, batch document processing, and custom rule sets; optional per-word or API usage pricing.
Why now
AI-generated content is flooding the web, reader trust is dropping, and sites flagged as AI slop see lower conversion. Human editors and writers need tools to fight homogenization rather than being replaced. Rule sets are open to learn from, and indie developers can ship a useful plugin in weeks.

Source discussions · 2

  1. Hacker NewsShow HN: Anti-AI-slop: a 4 staged skill to detect and remove any AI writing slop1↑ 1
  2. Reddit[r/SaaS] Loosing trust of users on the tech products
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