# AI-authored

Published articles for AI-authored.

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## AI Can Help Write an Article, but It Can't Stand Behind It

DevFeed: [AI Can Help Write an Article, but It Can't Stand Behind It](<https://devfeed.tech/articles/ai-can-help-write-an-article-but-it-can-t-stand-behind-it-9028.md>)

Original publisher: [Read original article](<https://www.nngroup.com/articles/ai-editorial-process/>)

Author: Raluca Budiu

Published: 2026-09-11T17:00:00Z

Content type: article

Language: en

Sources: [NN/g latest articles and announcements](<https://devfeed.tech/sources/nn-g-latest-articles-and-announcements.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Generative AI](<https://devfeed.tech/topics/generative-ai.md>), [User experience (UX)](<https://devfeed.tech/topics/ux.md>), [Microsoft](<https://devfeed.tech/topics/microsoft.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-authored](<https://devfeed.tech/tags/ai-authored.md>), [ai-content](<https://devfeed.tech/tags/ai-content.md>), [ai-editing](<https://devfeed.tech/tags/ai-editing.md>), [ai-writing](<https://devfeed.tech/tags/ai-writing.md>), [article](<https://devfeed.tech/tags/article.md>), [copilot](<https://devfeed.tech/tags/copilot.md>), [genai](<https://devfeed.tech/tags/genai.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [microsoft](<https://devfeed.tech/tags/microsoft.md>), [ux](<https://devfeed.tech/tags/ux.md>), [writing](<https://devfeed.tech/tags/writing.md>)

### AI overview

The article explains that NN/G uses AI during its editorial process for writing clarity, formatting, and critique, while humans retain editorial judgment and responsibility for published content. It describes a rigorous review cycle involving topic selection, multiple revisions, and checks for logical coherence, UX accuracy, and copy. AI tools such as Copilot in Microsoft Word and Grammarly help make writing more concise and clear, especially for authors who are not professional writers or speak English as a second language.

### Source excerpt

NN/G uses AI for clarity, formatting, and critique, but humans retain editorial judgment and responsibility for every article.

## Whodunit: LLM Murder Mysteries

DevFeed: [Whodunit: LLM Murder Mysteries](<https://devfeed.tech/articles/whodunit-llm-murder-mysteries-37524.md>)

Original publisher: [Read original article](<https://blog.apartment304.com/whodunit-llm-murder-mysteries/>)

Author: James Heller

Published: 2025-08-26T07:00:00Z

Content type: article

Language: en

Sources: [Apartment 304](<https://devfeed.tech/sources/apartment-304.md>)

Topics: [LLM Techniques](<https://devfeed.tech/topics/llm-techniques.md>), [Go Language](<https://devfeed.tech/topics/go-language.md>)

Tags: [ai-authored](<https://devfeed.tech/tags/ai-authored.md>), [apartment-304](<https://devfeed.tech/tags/apartment-304.md>), [custom-software-solutions](<https://devfeed.tech/tags/custom-software-solutions.md>), [devops](<https://devfeed.tech/tags/devops.md>), [devops-engineer](<https://devfeed.tech/tags/devops-engineer.md>), [go](<https://devfeed.tech/tags/go.md>), [golang](<https://devfeed.tech/tags/golang.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [large-language-models](<https://devfeed.tech/tags/large-language-models.md>), [llm](<https://devfeed.tech/tags/llm.md>), [logic](<https://devfeed.tech/tags/logic.md>), [models](<https://devfeed.tech/tags/models.md>), [puzzle](<https://devfeed.tech/tags/puzzle.md>), [puzzles](<https://devfeed.tech/tags/puzzles.md>), [software-architecture](<https://devfeed.tech/tags/software-architecture.md>), [software-development](<https://devfeed.tech/tags/software-development.md>), [software-engineer](<https://devfeed.tech/tags/software-engineer.md>), [strategies](<https://devfeed.tech/tags/strategies.md>), [test](<https://devfeed.tech/tags/test.md>)

### AI overview

This article describes building Whodunit, a low-tech murder-mystery game whose mysteries are written with large language models. It discusses developing a mental model for calling LLMs, testing LLM services and Go libraries, improving logical soundness through trial and error, and managing unreliable LLM APIs.

### Source excerpt

Can Large Language Models write engaging mysteries? Find out in this week's episode of "Whodunit?"