A GitHub repo, hedgehog-core-copywriting-prose-engineering, combines AI skills with code gates to clean up AI-generated copy. Instead of only prompting around tells like em-dashes and X-not-Y phrasing, it runs an iterative loop of AI drafting followed by automated quality checks until output passes. It targets sales copy, landing pages, and posts.
A developer released a custom skill, claudish, on GitHub to curb recurring AI writing tropes in technical documentation. It targets habits like overly literary prose and contrastive framing, with goals similar to tropes.fyi. The author built it iteratively by adding corrections to a do-not-do list and invites pull requests.
A developer released a custom skill, claudish, on GitHub to curb recurring AI writing tropes in technical documentation. It targets habits like overly literary prose and contrastive framing, with goals similar to tropes.fyi. The author built it iteratively by adding corrections to a do-not-do list and invites pull requests.
A prompt engineering skill that helps copywriters generate multilingual marketing copy while avoiding common AI-generated clichés and platitudes. It uses LLMs to adapt copy across languages and intercepts AI agents that try to cut corners.
A prompt engineering skill that helps copywriters generate multilingual marketing copy while avoiding common AI-generated clichés and platitudes. It uses LLMs to adapt copy across languages and intercepts AI agents that try to cut corners.
Humanizer is an open-source agent skill that improves AI-generated text by addressing structural issues like repeated lists, punctuation pivots, vague attribution, and tidy conclusions, rather than just replacing buzzwords. It applies separate rules for German and English to handle language-specific punctuation and typography. It solves the problem of AI text that still sounds formulaic even after superficial word swaps.
Humanizer is an open-source agent skill that improves AI-generated text by addressing structural issues like repeated lists, punctuation pivots, vague attribution, and tidy conclusions, rather than just replacing buzzwords. It applies separate rules for German and English to handle language-specific punctuation and typography. It solves the problem of AI text that still sounds formulaic even after superficial word swaps.
A developer used an AI landing page builder to create a product page in 10 minutes, finding the code and layout solid but the generated marketing copy generic and useless. The user had to rewrite the copy three times, highlighting a common weakness in AI-generated text.
A developer used an AI landing page builder to create a product page in 10 minutes, finding the code and layout solid but the generated marketing copy generic and useless. The user had to rewrite the copy three times, highlighting a common weakness in AI-generated text.
A prompt-writing practitioner argues that many poor AI outputs stem from ambiguous human instructions rather than model limitations. The post advises replacing vague terms like 'professional' with measurable, specific guidance to improve results.
A prompt-writing practitioner argues that many poor AI outputs stem from ambiguous human instructions rather than model limitations. The post advises replacing vague terms like 'professional' with measurable, specific guidance to improve results.