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This is another "AI-ism" I noticed, mostly in coding agents - they seem to be very fond of making up new "compound nouns" (and occasionally verbs) to sum up relatively complex and specific concepts into single noun phrases. I wasn't sure if it's to save tokens or if the AI uses this to get a concise "identifier" for a concept that it can refer back to later, but I found it very noticeable.
I find the resulting sentences hard to read, though it does get better if you're aware of that tendency and make a conscious effort to parse the noun phrases. But I guess since it's just intermediate output from coding agents and not text for essays or blog posts, it's fine.
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I’m (sorry for the lack of humbleness) a very fluent non-native speaker and writer, and this is by far my biggest challenge with Claude. It stitches together 2-4 advanced concepts into one or two words and I always have to ask it to “unpack”.
I don’t think it’s easy on native speakers when it happens, but it’s even harder when you’re not.
Yes! It's infuriating. I've tried prohibiting them in my AGENTS.md but it's not 100% effective.
--- AGENTS.md ---
## Plain words, not jargon
Don't use jargon-as-shorthand. Say what you actually mean.
- Don't say "load-bearing assumptions". Say "the assumptions the xyz depends on".
- Don't say "cross-service". Name both services, e.g. "whether the X service can derive duration without calling the Y service". "Cross-X" is confusing because it hides which things are involved.
- Don't deliver verdicts as abstract noun-phrases like "Cross-RCA double-counting is unfounded". Say it plainly: "I checked whether the same root cause gets counted twice across RCA runs, and it doesn't."
## No earth-shattering declarations
Don't hype findings. Skip "a critical finding changes everything", "now I have the full picture", "this changes the game", etc. Just state what you found plainly. Most findings are ordinary; report them that way.
## Don't reflexively hedge a "yes"
When the answer is yes, say yes. Don't soften every positive answer with a caveat: it erodes confidence in the "yes". Only add a caveat when there's a genuine, specific uncertainty worth flagging.
Excessive-hyphenization is ai-hyperfixation
That’s… about how I might have written that.
That and finishing a statement with an em dash — that’s what AI does.
That, and also the very long comma-separated lists with sometimes 10+ items.
FYI, AI isn't fond of a goddamn thing. They have token prediction quirks that don't follow typical English.
Haha, I do that too sometimes.
It's a thing in some Germanic languages. Instinct is to merge nouns into word, e.g. 'lawnchair', but that gives you a red squiggly line, but 'lawn chair' also looks wrong, so 'lawn-chair' is the middle ground.