创意工具1 month ago
AI Humanizer Free: Humanize AI Text, No Sign-Up | Lynote
将AI生成的文本即时转换为自然、类似人类的写作，无需注册。
fendouai · GitHub
humanize-text-skill Free AI Humanizer: Humanize AI Text Online
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将AI生成的文本即时转换为自然、类似人类的写作，无需注册。
fendouai · GitHub
humanize-text-skill Free AI Humanizer: Humanize AI Text Online
编写编码目标，让 AI 代理分解并执行任务。
dudemanAtl · HN
PlanWright – A control plane for AI coding agents
在GitHub pull requests上自动生成代码文档。
Aldasams · HN
Show HN: DocFlow – AI documentation updates for GitHub pull requests
为自主编程智能体提供异步协调基础设施和审计追踪。
tyagivivek · HN
Parley – your coding agent can talk to a teammate's agent
SafeWrite 将 AI 文本转化为你的个人风格，内置 AI 内容检测。
SafeWrite AI — 结合 AI Humanizer 与 AI 检测功能的写作工具，帮助用户生成更自然、难以被检测为 AI 的内容。支持训练私有化的 Humanizer，模拟个人文风并确保隐私不泄露。同时整合 GPTZero、Turnitin 等检测器，一键获取多平台检测结果。通过“改写-检测-再改写”的自动流程，有效提升内容通过率，适用于学生、自由写手及内容创作者。
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
一次编写，多格式导出为笔记、幻灯片、PDF、PPTX、DOCX 或画布。
@mr_wickedhacks · X
Write the doc once → get a notebook, slide deck, canvas, or resume from the same source. No rewriting for every format.
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
离线写作应用，支持WYSIWYG Markdown，分享私密链接供客户免费评论。
@sathishn · X
AI代码审查工具,在microVMs中运行代码以捕获更多错误。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db
