A developer shared Deslop on GitHub via Show HN, a skill that converts legalistic and AI-generated verbose text into plain English. It targets a common pain point for practitioners reviewing AI output and dense legal prose.
Zero Slop is an open-source skill that detects and rewrites AI-sounding writing patterns. It uses an LLM to identify and fix 'AI slop' in text. It targets writers who want to remove formulaic AI-generated phrasing from their work.
Zero Slop is an open-source skill that detects and rewrites AI-sounding writing patterns. It uses an LLM to identify and fix 'AI slop' in text. It targets writers who want to remove formulaic AI-generated phrasing from their work.
Plainspeak is a tool that helps AI agents write in a more human-like style. It likely uses LLMs to transform or guide agent outputs, solving the problem of robotic or unnatural AI-generated text for developers and users.
Plainspeak is a tool that helps AI agents write in a more human-like style. It likely uses LLMs to transform or guide agent outputs, solving the problem of robotic or unnatural AI-generated text for developers and users.
Unslop is a Claude skill that removes signs of AI writing from English text, including word-level tells like 'delve' and structural issues like over-explained conclusions. It calibrates to the user's personal voice, built on research from UMD and Google DeepMind.
Unslop is a Claude skill that removes signs of AI writing from English text, including word-level tells like 'delve' and structural issues like over-explained conclusions. It calibrates to the user's personal voice, built on research from UMD and Google DeepMind.
A plugin that uses LLMs to strip corporate buzzwords from LinkedIn posts or official communications, translating them into plain language. It can also inflate simple statements into cringey corporate speak. Built with Claude Code, it helps users see through empty jargon or generate parody content.
A plugin that uses LLMs to strip corporate buzzwords from LinkedIn posts or official communications, translating them into plain language. It can also inflate simple statements into cringey corporate speak. Built with Claude Code, it helps users see through empty jargon or generate parody content.
A forum discussion explains why locally run LLMs often appear less capable than their cloud counterparts, attributing the gap to quantization, context window limits, and hardware constraints. The thread offers practical insights for developers optimizing local inference.
A forum discussion explains why locally run LLMs often appear less capable than their cloud counterparts, attributing the gap to quantization, context window limits, and hardware constraints. The thread offers practical insights for developers optimizing local inference.