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I notice you've shared a list of social mentions but no actual reviews or detailed content about Metronome. The social mentions appear to be mostly YouTube video titles mentioning "Metronome AI" and one Reddit post that seems to be about AI writing patterns rather than the Metronome software itself. Without access to the actual review content, user feedback, or detailed social media discussions about Metronome's features, performance, and pricing, I cannot provide a meaningful summary of what users think about this tool. Could you share the actual review text or more detailed social mentions that contain user opinions and experiences?
Mentions (30d)
1
1 this week
Reviews
0
Platforms
2
Sentiment
0%
0 positive
I notice you've shared a list of social mentions but no actual reviews or detailed content about Metronome. The social mentions appear to be mostly YouTube video titles mentioning "Metronome AI" and one Reddit post that seems to be about AI writing patterns rather than the Metronome software itself. Without access to the actual review content, user feedback, or detailed social media discussions about Metronome's features, performance, and pricing, I cannot provide a meaningful summary of what users think about this tool. Could you share the actual review text or more detailed social mentions that contain user opinions and experiences?
Features
Industry
information technology & services
Employees
180
Funding Stage
Merger / Acquisition
Total Funding
$128.0M
I catalogued 112 patterns that make AI writing obvious — then built a Claude Code skill to fix them
I read a lot of AI-generated text for work — in Korean and English. After a while I started noticing the same patterns over and over. The triple-item lists. The "it's important to note." The bold on every key phrase. The conclusions that say nothing. So I started writing them down. First in English, then Korean, then Chinese and Japanese. Ended up with 112 specific patterns across four languages — 28 per language. Each one has a regex/heuristic detector and a description of what makes it a giveaway. A few examples from the English set: - "delve into", "tapestry", "multifaceted" clustered in one paragraph (Pattern #7: AI Vocabulary Words) - Starting three consecutive paragraphs with the same structure — claim, evidence, significance (Pattern #25: Metronomic Paragraph Structure) - "Despite these challenges, the industry remains poised for growth" (Pattern #6: the classic challenges-then-optimism closer) - "serves as a vital hub" when "is" would work fine (Pattern #8: Copula Avoidance) I turned this into a Claude Code skill called **patina**. You run `/patina` and paste your text. It flags what it finds and rewrites the flagged parts. It has a few modes: - Default: detect and rewrite - `--audit`: just show what's wrong, don't touch anything - `--score`: rate text 0-100 on how AI-like it sounds - `--diff`: show exactly which patterns were caught and what changed - `--ouroboros`: keep rewriting until the score converges There's also a MAX mode that runs your text through Claude, Codex, and Gemini, then picks whichever version sounds most human. Quick before/after: > **Before:** AI coding tools represent a **groundbreaking milestone** showcasing the **innovative potential** of large language models, signifying a **pivotal turning point** in software development evolution. This not only streamlines processes but also fosters collaboration and facilitates organizational alignment. > **After:** AI coding tools speed up grunt work. Config files, test scaffolding, that kind of thing. The problem is the code looks right even when it isn't. It compiles, passes lint, so you merge it — then find out later it's doing something completely different from what you intended. The full pattern list is in the repo README if you just want the checklist without the tool. GitHub: https://github.com/devswha/patina Based on [blader/humanizer](https://github.com/blader/humanizer), extended for multilingual support. MIT license. Happy to hear if you've spotted patterns I'm missing — the pattern files are just markdown, easy to contribute to. submitted by /u/Old-Conference-3730 [link] [comments]
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