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AI & AutomationTechnology

How to Stop Claude from Saying 'Load-Bearing' and Clean Up Your AI Outputs

July 15, 20263 min read

Tired of Claude describing everything as a 'load-bearing component'? Here is how developers are fighting back against the LLM's favorite linguistic tick.

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Have you ever wanted to throw your monitor out the window because Claude decided your basic database helper is a "load-bearing component"? Or maybe it told you that a minor CSS tweak is a "load-bearing metaphor"? You are not alone, my friends.

Today, let's look at a brilliant (and highly relatable) blog post from jola.dev about a massive pet peeve in the developer community: Claude's obsession with the phrase "load-bearing," and how to finally make it stop.

The "Load-Bearing" Epidemic: What's the Fuss About?

The author of the original post, a heavy user of Anthropic's Claude, noticed that despite being incredibly smart and writing great code, the LLM has developed an incredibly annoying verbal tick. It constantly forces the phrase "load-bearing" into almost every response.

Why does a multi-billion-dollar AI model sound like a corporate middle manager who just learned a new buzzword? It all comes down to reinforcement learning (RLHF) and training data. If certain phrases get overrepresented in the reward models, the AI starts thinking, "Wow, using this word makes me sound so sophisticated!" The result? A digital assistant that talks like a LinkedIn influencer.

The author reached a breaking point and decided that enough was enough—this linguistic bug needed a hotfix.

The Hacker News Community Brainstorms a Cure

When the post hit Hacker News, it immediately skyrocketed to the front page. Devs everywhere let out a collective sigh of relief, realizing they weren't the only ones suffering from LLM buzzword fatigue.

The community quickly split into two practical camps on how to solve this:

  • The Threat-Based Prompters: Many developers swear by the art of threat-engineering. They add instructions to their System Prompts like: "Do not use the phrase 'load-bearing'. If you do, a kitten will suffer, and I will dock your tip by $10." Surprisingly, LLMs respond quite well to these weird, negative constraints.
  • The Regex Snipers: Pragmatic engineers don't trust prompt constraints at all. "AI will always find a way to hallucinate or bypass your prompt," one user noted. Their solution? Build a lightweight post-processing filter on the API response. If the text contains banned terms like "load-bearing", "delve", or "tapestry", just strip them out programmatically.
  • The Shared Blacklist: Devs also took the opportunity to list other classic "dead giveaways" that a text was generated by AI:
    • Delve (ChatGPT's absolute favorite word).
    • Tapestry (As in "a rich tapestry of...").
    • Testament to.
    • In conclusion, it is important to remember...

Coding4Food's Take & The Survival Guide

Behind the memes lies a very important lesson for developers building ai tools or customer-facing applications. LLMs are ultimately probability machines, not conscious writers. They don't realize when they sound repetitive or robotic.

If you are feeding raw LLM outputs directly to your users, you are doing it wrong. Always implement a cleanup layer—whether through carefully crafted system prompts, temperature adjustments, or post-processing regex filters. Keep your outputs clean, human, and free of corporate jargon.

And if you just want Claude to write normal code without the attitude, try adding this to your custom instructions:

"Write like a normal, pragmatic software engineer. Do not use corporate buzzwords, especially 'load-bearing'. Keep it brief and cut the crap."

Your eyes (and your users) will thank you!

References

  • Original article: How to stop Claude from saying load-bearing