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Claudette: Make Claude stop talking like a BuzzFeed article

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Why This Matters

Claudette highlights the importance of refining AI communication to improve clarity and user experience, especially as AI models become more integrated into daily workflows. By translating verbose or overly technical responses into human-friendly language, the tech industry can make AI tools more accessible and effective for consumers and developers alike.

Key Takeaways

NoBuzz

Obviously it's common knowledge by now that Anthropic has solely trained claude on old Buzzfeed articles (explaining its love for 90s nostalgia). So Claude and I built a Claude Code skill ( /debuzz ) that takes Claude's last response and runs it through the Gemini CLI to translate it from talking like a millennial clickbait to regular English. We're thinking of calling it "Claudette" but Cat Wu is famously litigious so it's definitely absolutely not called "Claudette".

The problem

Claudette is our solution to Claude being a great engineer with one incurable condition: it talks like it's delivering a TED talk about its own pull request. You ask why a test is flaky and you get a "load-bearing assumption," three numbered revelations, and a solemn note that the third one is the most instructive yet. Nothing is ever just a bug. There is always a kicker.

This skill accepts that no amount of prompting fully cures this, and does the honest thing instead: it hands the response to a different model, Gemini (remember gemini from last summer?), whose only job is to say it like a human person. Claudette has pinky promised to print Gemini's translation verbatim, because letting Claude "tidy up" the translation reintroduces exactly the voice being removed.

Before / after

Before (Claude):

Here's where it gets interesting: the retry logic isn't just a nice-to-have — it's - the - load-bearing - assumption - of - the - entire - sync - pipeline. Three things jumped out at me, and the third one is the most instructive yet. [...] And third — and this is the kicker — the dedupe key includes a timestamp, which means retries are never actually deduplicated.

After ( /debuzz , colleague mode):

The sync pipeline's retry logic has three bugs. syncQueue.ts:142 swallows ETIMEDOUT instead of re-queuing the job. The backoff caps at 2 seconds, which is too low for mobile networks. And the dedupe key includes a timestamp, so retries are never deduplicated. Fix: strip the timestamp from the key, raise the cap to 30 seconds, and re-throw the timeout error.

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