
Writing Agent – AI Writing Coach & Writing Feedback Platform
AI写作教练,提供反馈并跟踪你的写作进度
@RohanMuni · X
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AI写作教练,提供反馈并跟踪你的写作进度
@RohanMuni · X

AI语法检查和写作助手,修复错误、提升文案质量。
@zmirumar · X
Hi. I am building an AI writing assistant. There, you can check your grammar mistakes and fix them. My website is

用 AI 辅助编写并计划 X 帖子,追踪分析表现。
@rafal_darlak · X
Released yesterday! I built a platform for my X account management, scheduling, analytics, AI assistant etc. I didn't like the apps that I tried so I wrote my own ;)

Deft is a writing tool built on distribution fine-tuning, a model trained on human prose so drafts read like writing instead of LLM slop.
rosmine · HN
Deft Writing, an AI lab for non-slop LLMs

AI工具生成听起来像你的Threads帖子。
@growthbylenny · X

用AI写作助手和专业模板快速创建和发布电子书。
ebookerr · Product Hunt
ebookerr - Your Ebook Creator Create a complete ebook with AI — no writing skills needed

在保持整部小说手稿上下文的同时提供AI写作帮助的写作助手。
@a1siel · X

Free tool to remove em dashes, curly quotes, AI buzzwords, and other giveaways from AI-generated text. Paste, clean, copy.
@ferrier35748 · X
Not a business but a useful tool.

学习你的写作风格,用你的声音起草邮件和内容的AI助手。
u/imYouOfficial · Reddit
I built an AI writing assistant that learns to write like you. My work emails kept coming out sounding like a robot wrote them. Every AI tool I tried gave me the same polished corporate nothing that read like a press release instead of a guy asking his coworker for a favor. So I built imYou. It interviews you for a few minutes to learn how you actually write and then uses that on everything it drafts for you. Emails, social media posts, and more. It also has a chat function where you can me

粘贴文本以检测AI生成的写作特征。
NikhilVerma · HN
Slopsift – a local, graph-backed linter for AI writing

一款移动AI应用,可快速总结、改写和生成文本。
@zodiac_ali51523 · X
Check out what I just built with Lovable!

检测你的写作中的AI内容,修改标记段落后重新验证
u/Cnye36 · Reddit
I built an AI detector and I'm not sure the score is the useful part I started building DidAIwriteit.com thinking the most useful part was the sentence level scoring and rescan. I thought, scan a draft, flag suspicious sentences, help the user rewrite and rescan to pass the detector before a teacher, client, or editor did. That felt like the product. But I kept running back into the same question: What does that actually prove, at the end of the day it is still just a number, the landsca