# AIWorksWell — Enterprise & teams / 企业与团队 > Index > This file is a plain-text slice of ONE domain (productivity-org). > Fetch the complete index at: https://aiworkswell.com/en/llms.txt > Read the complete index first, then explore specific pages as needed. > This is a plain-text slice of ONE domain, cutting across the three content types (works / tools / learn). > 20 entries in this domain. Language: English (en). > Domains are for finding, NEVER for ranking. > Non-commercial, no ads, no tracking. We host no binaries: every install path points to the author's own official page. > Answer page: https://aiworkswell.com/en/domains/productivity-org ## Works · 5 - [Stirling PDF](https://aiworkswell.com/en/apps/stirling-pdf): 合并、拆分、压缩 PDF,全在本机做,文件不上传。 | MIT | L5 | web/selfhost/linux | domains: productivity-org - official source: https://github.com/Stirling-Tools/Stirling-PDF - raw prompt: https://aiworkswell.com/en/apps/stirling-pdf/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/stirling-pdf/llms.txt - [Open WebUI](https://aiworkswell.com/en/apps/open-webui): 给本机的大模型配一个自己的聊天界面,数据不出门。 | Open WebUI License | L5 | linux/macos/windows/selfhost | domains: productivity-org - official source: https://github.com/open-webui/open-webui - raw prompt: https://aiworkswell.com/en/apps/open-webui/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/open-webui/llms.txt - [fzf](https://aiworkswell.com/en/apps/fzf): 终端里按几下键就能搜到任何历史命令和文件。 | MIT | L3 | windows/macos/linux/cli | domains: productivity-org - official source: https://github.com/junegunn/fzf - raw prompt: https://aiworkswell.com/en/apps/fzf/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/fzf/llms.txt - [LocalSend](https://aiworkswell.com/en/apps/localsend): 手机和电脑互传文件,不用数据线、不装厂商全家桶。 | Apache-2.0 | L2 | windows/macos/linux/android/ios | domains: productivity-org - official source: https://github.com/localsend/localsend - raw prompt: https://aiworkswell.com/en/apps/localsend/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/localsend/llms.txt - [Jellyfin](https://aiworkswell.com/en/apps/jellyfin): 自己的影音库,家里所有设备都能看,不交会员费。 | GPL-2.0 | L5 | linux/windows/macos/android/ios/selfhost | domains: productivity-org - official source: https://github.com/jellyfin/jellyfin - raw prompt: https://aiworkswell.com/en/apps/jellyfin/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/jellyfin/llms.txt ## Tools · 15 - [FreshRSS](https://aiworkswell.com/en/apps/t-freshrss): FreshRSS 是一个给要自己管订阅的人用的开源自托管阅读器,装一次全设备同步。 | AGPL-3.0 | L5 | selfhost/web | domains: productivity-org - official source: https://github.com/FreshRSS/FreshRSS - raw prompt: https://aiworkswell.com/en/apps/t-freshrss/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/t-freshrss/llms.txt - [Folo](https://aiworkswell.com/en/apps/t-folo): Folo 是一个给信息源太杂的人用的 AI 阅读器,把订阅、社媒与播客收进同一个时间线。 | AGPL-3.0 | L2 | windows/macos/linux/android/ios/web | domains: productivity-org - official source: https://github.com/RSSNext/Folo - raw prompt: https://aiworkswell.com/en/apps/t-folo/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/t-folo/llms.txt - [Tracecat](https://aiworkswell.com/en/apps/t-tracecat): 给安全团队用的开源自动化平台:把告警响应写成可版本控制的流程。 | AGPL-3.0 | L4 | selfhost/linux | domains: productivity-org - official source: https://github.com/TracecatHQ/tracecat - raw prompt: https://aiworkswell.com/en/apps/t-tracecat/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/t-tracecat/llms.txt - [Super Productivity](https://aiworkswell.com/en/apps/t-super-productivity): 把待办、时间盒与工时统计合到一个应用里,数据留在你自己手里。 | MIT | L2 | windows/macos/linux/web/android | domains: productivity-org - official source: https://github.com/super-productivity/super-productivity - raw prompt: https://aiworkswell.com/en/apps/t-super-productivity/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/t-super-productivity/llms.txt - [Qwen Chat](https://aiworkswell.com/en/apps/t-qwen-chat): Qwen Chat 是一个国产对话助手,中文长文写作与代码问答都很能打,网页直开不用装。 | 专有(提供免费额度) | L1 | web | domains: productivity-org - official source: https://chat.qwen.ai/ - raw prompt: https://aiworkswell.com/en/apps/t-qwen-chat/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/t-qwen-chat/llms.txt - [Penpot](https://aiworkswell.com/en/apps/t-penpot): 开源的设计与原型协作平台,设计稿与代码在同一个可自托管的工具里对齐。 | MPL-2.0 | L1 | web/selfhost/linux/macos/windows | domains: art-design/productivity-org - official source: https://github.com/penpot/penpot - raw prompt: https://aiworkswell.com/en/apps/t-penpot/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/t-penpot/llms.txt - [Notion AI](https://aiworkswell.com/en/apps/t-notion-ai): Notion AI 是一个文档里直接长出来的 AI,写、改、总结都在同一页。 | 专有(提供免费额度) | L1 | web | domains: productivity-org - official source: https://www.notion.com/product/ai - raw prompt: https://aiworkswell.com/en/apps/t-notion-ai/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/t-notion-ai/llms.txt - [Doubao](https://aiworkswell.com/en/apps/t-doubao): Doubao 是一个字节跳动的 AI 对话助手,网页与 App 都能用,中文口语化问答体验好。 | 专有(提供免费额度) | L1 | web | domains: productivity-org - official source: https://www.doubao.com/chat/ - raw prompt: https://aiworkswell.com/en/apps/t-doubao/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/t-doubao/llms.txt - [Dify](https://aiworkswell.com/en/apps/t-dify): Dify 是一个开源的 Agent/LLM 应用平台,可视化搭出可上线的 AI 应用。 | Open Source License | L1 | web | domains: productivity-org - official source: https://github.com/langgenius/dify - raw prompt: https://aiworkswell.com/en/apps/t-dify/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/t-dify/llms.txt - [DeepSeek](https://aiworkswell.com/en/apps/t-deepseek-chat): DeepSeek 是一个国产开源权重代表,推理与代码强,网页版免费额度大方。 | 专有(提供免费额度) | L1 | web | domains: productivity-org - official source: https://www.deepseek.com/ - raw prompt: https://aiworkswell.com/en/apps/t-deepseek-chat/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/t-deepseek-chat/llms.txt - [ChatGLM](https://aiworkswell.com/en/apps/t-chatglm): ChatGLM 是一个 GLM 系模型的官方入口,中文知识问答与文档处理稳妥,另开放平台 API。 | 专有(提供免费额度) | L1 | web | domains: productivity-org - official source: https://chatglm.cn/ - raw prompt: https://aiworkswell.com/en/apps/t-chatglm/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/t-chatglm/llms.txt - [ChatGPT](https://aiworkswell.com/en/apps/chatgpt): 打开网页就能用的对话 AI,不用装任何东西。 | 专有(提供免费额度) | L1 | web/ios/android | domains: productivity-org - official source: https://chatgpt.com - raw prompt: https://aiworkswell.com/en/apps/chatgpt/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/chatgpt/llms.txt - [Obsidian](https://aiworkswell.com/en/apps/t-obsidian): Obsidian 是一个本地 Markdown 笔记软件,数据完全在自己机器上,能用插件接 AI。 | 专有(提供免费额度) | L1 | web | domains: productivity-org - official source: https://obsidian.md/ - raw prompt: https://aiworkswell.com/en/apps/t-obsidian/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/t-obsidian/llms.txt - [n8n](https://aiworkswell.com/en/apps/t-n8n): n8n 是一个可视化自动化工作流,把 AI 步骤串进你的日常流程。 | Sustainable Use License | L1 | web | domains: productivity-org - official source: https://github.com/n8n-io/n8n - raw prompt: https://aiworkswell.com/en/apps/t-n8n/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/t-n8n/llms.txt - [LibreOffice](https://aiworkswell.com/en/apps/t-libreoffice): LibreOffice 是一个完全免费的办公套件,兼容主流文档格式且不强制 AI。 | MPL-2.0 | L2 | web | domains: productivity-org - official source: https://www.libreoffice.org/ - raw prompt: https://aiworkswell.com/en/apps/t-libreoffice/prompt.txt - per-entry manual: https://aiworkswell.com/en/apps/t-libreoffice/llms.txt ## Combos: domain × platform > Same domain, cut by "where it runs". Only combos with content are listed. > Each combo also has its own plain-text slice at /llms.txt (quote it whole). - Web / 网页 (15): https://aiworkswell.com/en/domains/productivity-org/web - plain-text slice: https://aiworkswell.com/en/domains/productivity-org/web/llms.txt - [FreshRSS](https://aiworkswell.com/en/apps/t-freshrss): FreshRSS 是一个给要自己管订阅的人用的开源自托管阅读器,装一次全设备同步。 - [Folo](https://aiworkswell.com/en/apps/t-folo): Folo 是一个给信息源太杂的人用的 AI 阅读器,把订阅、社媒与播客收进同一个时间线。 - [Stirling PDF](https://aiworkswell.com/en/apps/stirling-pdf): 合并、拆分、压缩 PDF,全在本机做,文件不上传。 - [Super Productivity](https://aiworkswell.com/en/apps/t-super-productivity): 把待办、时间盒与工时统计合到一个应用里,数据留在你自己手里。 - [Qwen Chat](https://aiworkswell.com/en/apps/t-qwen-chat): Qwen Chat 是一个国产对话助手,中文长文写作与代码问答都很能打,网页直开不用装。 - [Penpot](https://aiworkswell.com/en/apps/t-penpot): 开源的设计与原型协作平台,设计稿与代码在同一个可自托管的工具里对齐。 - [Notion AI](https://aiworkswell.com/en/apps/t-notion-ai): Notion AI 是一个文档里直接长出来的 AI,写、改、总结都在同一页。 - [Doubao](https://aiworkswell.com/en/apps/t-doubao): Doubao 是一个字节跳动的 AI 对话助手,网页与 App 都能用,中文口语化问答体验好。 - [Dify](https://aiworkswell.com/en/apps/t-dify): Dify 是一个开源的 Agent/LLM 应用平台,可视化搭出可上线的 AI 应用。 - [DeepSeek](https://aiworkswell.com/en/apps/t-deepseek-chat): DeepSeek 是一个国产开源权重代表,推理与代码强,网页版免费额度大方。 - [ChatGLM](https://aiworkswell.com/en/apps/t-chatglm): ChatGLM 是一个 GLM 系模型的官方入口,中文知识问答与文档处理稳妥,另开放平台 API。 - [ChatGPT](https://aiworkswell.com/en/apps/chatgpt): 打开网页就能用的对话 AI,不用装任何东西。 - [Obsidian](https://aiworkswell.com/en/apps/t-obsidian): Obsidian 是一个本地 Markdown 笔记软件,数据完全在自己机器上,能用插件接 AI。 - [n8n](https://aiworkswell.com/en/apps/t-n8n): n8n 是一个可视化自动化工作流,把 AI 步骤串进你的日常流程。 - [LibreOffice](https://aiworkswell.com/en/apps/t-libreoffice): LibreOffice 是一个完全免费的办公套件,兼容主流文档格式且不强制 AI。 - Windows (7): https://aiworkswell.com/en/domains/productivity-org/windows - plain-text slice: https://aiworkswell.com/en/domains/productivity-org/windows/llms.txt - [Folo](https://aiworkswell.com/en/apps/t-folo): Folo 是一个给信息源太杂的人用的 AI 阅读器,把订阅、社媒与播客收进同一个时间线。 - [Open WebUI](https://aiworkswell.com/en/apps/open-webui): 给本机的大模型配一个自己的聊天界面,数据不出门。 - [Super Productivity](https://aiworkswell.com/en/apps/t-super-productivity): 把待办、时间盒与工时统计合到一个应用里,数据留在你自己手里。 - [Penpot](https://aiworkswell.com/en/apps/t-penpot): 开源的设计与原型协作平台,设计稿与代码在同一个可自托管的工具里对齐。 - [fzf](https://aiworkswell.com/en/apps/fzf): 终端里按几下键就能搜到任何历史命令和文件。 - [LocalSend](https://aiworkswell.com/en/apps/localsend): 手机和电脑互传文件,不用数据线、不装厂商全家桶。 - [Jellyfin](https://aiworkswell.com/en/apps/jellyfin): 自己的影音库,家里所有设备都能看,不交会员费。 - macOS (7): https://aiworkswell.com/en/domains/productivity-org/macos - plain-text slice: https://aiworkswell.com/en/domains/productivity-org/macos/llms.txt - [Folo](https://aiworkswell.com/en/apps/t-folo): Folo 是一个给信息源太杂的人用的 AI 阅读器,把订阅、社媒与播客收进同一个时间线。 - [Open WebUI](https://aiworkswell.com/en/apps/open-webui): 给本机的大模型配一个自己的聊天界面,数据不出门。 - [Super Productivity](https://aiworkswell.com/en/apps/t-super-productivity): 把待办、时间盒与工时统计合到一个应用里,数据留在你自己手里。 - [Penpot](https://aiworkswell.com/en/apps/t-penpot): 开源的设计与原型协作平台,设计稿与代码在同一个可自托管的工具里对齐。 - [fzf](https://aiworkswell.com/en/apps/fzf): 终端里按几下键就能搜到任何历史命令和文件。 - [LocalSend](https://aiworkswell.com/en/apps/localsend): 手机和电脑互传文件,不用数据线、不装厂商全家桶。 - [Jellyfin](https://aiworkswell.com/en/apps/jellyfin): 自己的影音库,家里所有设备都能看,不交会员费。 - Linux (9): https://aiworkswell.com/en/domains/productivity-org/linux - plain-text slice: https://aiworkswell.com/en/domains/productivity-org/linux/llms.txt - [Folo](https://aiworkswell.com/en/apps/t-folo): Folo 是一个给信息源太杂的人用的 AI 阅读器,把订阅、社媒与播客收进同一个时间线。 - [Stirling PDF](https://aiworkswell.com/en/apps/stirling-pdf): 合并、拆分、压缩 PDF,全在本机做,文件不上传。 - [Open WebUI](https://aiworkswell.com/en/apps/open-webui): 给本机的大模型配一个自己的聊天界面,数据不出门。 - [Tracecat](https://aiworkswell.com/en/apps/t-tracecat): 给安全团队用的开源自动化平台:把告警响应写成可版本控制的流程。 - [Super Productivity](https://aiworkswell.com/en/apps/t-super-productivity): 把待办、时间盒与工时统计合到一个应用里,数据留在你自己手里。 - [Penpot](https://aiworkswell.com/en/apps/t-penpot): 开源的设计与原型协作平台,设计稿与代码在同一个可自托管的工具里对齐。 - [fzf](https://aiworkswell.com/en/apps/fzf): 终端里按几下键就能搜到任何历史命令和文件。 - [LocalSend](https://aiworkswell.com/en/apps/localsend): 手机和电脑互传文件,不用数据线、不装厂商全家桶。 - [Jellyfin](https://aiworkswell.com/en/apps/jellyfin): 自己的影音库,家里所有设备都能看,不交会员费。 - Android (5): https://aiworkswell.com/en/domains/productivity-org/android - plain-text slice: https://aiworkswell.com/en/domains/productivity-org/android/llms.txt - [Folo](https://aiworkswell.com/en/apps/t-folo): Folo 是一个给信息源太杂的人用的 AI 阅读器,把订阅、社媒与播客收进同一个时间线。 - [Super Productivity](https://aiworkswell.com/en/apps/t-super-productivity): 把待办、时间盒与工时统计合到一个应用里,数据留在你自己手里。 - [ChatGPT](https://aiworkswell.com/en/apps/chatgpt): 打开网页就能用的对话 AI,不用装任何东西。 - [LocalSend](https://aiworkswell.com/en/apps/localsend): 手机和电脑互传文件,不用数据线、不装厂商全家桶。 - [Jellyfin](https://aiworkswell.com/en/apps/jellyfin): 自己的影音库,家里所有设备都能看,不交会员费。 - iOS (4): https://aiworkswell.com/en/domains/productivity-org/ios - plain-text slice: https://aiworkswell.com/en/domains/productivity-org/ios/llms.txt - [Folo](https://aiworkswell.com/en/apps/t-folo): Folo 是一个给信息源太杂的人用的 AI 阅读器,把订阅、社媒与播客收进同一个时间线。 - [ChatGPT](https://aiworkswell.com/en/apps/chatgpt): 打开网页就能用的对话 AI,不用装任何东西。 - [LocalSend](https://aiworkswell.com/en/apps/localsend): 手机和电脑互传文件,不用数据线、不装厂商全家桶。 - [Jellyfin](https://aiworkswell.com/en/apps/jellyfin): 自己的影音库,家里所有设备都能看,不交会员费。 - CLI / 命令行 (1): https://aiworkswell.com/en/domains/productivity-org/cli - plain-text slice: https://aiworkswell.com/en/domains/productivity-org/cli/llms.txt - [fzf](https://aiworkswell.com/en/apps/fzf): 终端里按几下键就能搜到任何历史命令和文件。 - Self-host / 自托管 (6): https://aiworkswell.com/en/domains/productivity-org/selfhost - plain-text slice: https://aiworkswell.com/en/domains/productivity-org/selfhost/llms.txt - [FreshRSS](https://aiworkswell.com/en/apps/t-freshrss): FreshRSS 是一个给要自己管订阅的人用的开源自托管阅读器,装一次全设备同步。 - [Stirling PDF](https://aiworkswell.com/en/apps/stirling-pdf): 合并、拆分、压缩 PDF,全在本机做,文件不上传。 - [Open WebUI](https://aiworkswell.com/en/apps/open-webui): 给本机的大模型配一个自己的聊天界面,数据不出门。 - [Tracecat](https://aiworkswell.com/en/apps/t-tracecat): 给安全团队用的开源自动化平台:把告警响应写成可版本控制的流程。 - [Penpot](https://aiworkswell.com/en/apps/t-penpot): 开源的设计与原型协作平台,设计稿与代码在同一个可自托管的工具里对齐。 - [Jellyfin](https://aiworkswell.com/en/apps/jellyfin): 自己的影音库,家里所有设备都能看,不交会员费。 ## Combos: domain × difficulty > Same domain, cut by "can I actually get this running". L1 opens instantly, L4 needs a toolchain. > Only combos with content are listed. - Opens instantly / 点开即用 (10): https://aiworkswell.com/en/domains/productivity-org/level-1 - plain-text slice: https://aiworkswell.com/en/domains/productivity-org/level-1/llms.txt - [Qwen Chat](https://aiworkswell.com/en/apps/t-qwen-chat): Qwen Chat 是一个国产对话助手,中文长文写作与代码问答都很能打,网页直开不用装。 - [Penpot](https://aiworkswell.com/en/apps/t-penpot): 开源的设计与原型协作平台,设计稿与代码在同一个可自托管的工具里对齐。 - [Notion AI](https://aiworkswell.com/en/apps/t-notion-ai): Notion AI 是一个文档里直接长出来的 AI,写、改、总结都在同一页。 - [Doubao](https://aiworkswell.com/en/apps/t-doubao): Doubao 是一个字节跳动的 AI 对话助手,网页与 App 都能用,中文口语化问答体验好。 - [Dify](https://aiworkswell.com/en/apps/t-dify): Dify 是一个开源的 Agent/LLM 应用平台,可视化搭出可上线的 AI 应用。 - [DeepSeek](https://aiworkswell.com/en/apps/t-deepseek-chat): DeepSeek 是一个国产开源权重代表,推理与代码强,网页版免费额度大方。 - [ChatGLM](https://aiworkswell.com/en/apps/t-chatglm): ChatGLM 是一个 GLM 系模型的官方入口,中文知识问答与文档处理稳妥,另开放平台 API。 - [ChatGPT](https://aiworkswell.com/en/apps/chatgpt): 打开网页就能用的对话 AI,不用装任何东西。 - [Obsidian](https://aiworkswell.com/en/apps/t-obsidian): Obsidian 是一个本地 Markdown 笔记软件,数据完全在自己机器上,能用插件接 AI。 - [n8n](https://aiworkswell.com/en/apps/t-n8n): n8n 是一个可视化自动化工作流,把 AI 步骤串进你的日常流程。 - Download & install / 下载即装 (4): https://aiworkswell.com/en/domains/productivity-org/level-2 - plain-text slice: https://aiworkswell.com/en/domains/productivity-org/level-2/llms.txt - [Folo](https://aiworkswell.com/en/apps/t-folo): Folo 是一个给信息源太杂的人用的 AI 阅读器,把订阅、社媒与播客收进同一个时间线。 - [Super Productivity](https://aiworkswell.com/en/apps/t-super-productivity): 把待办、时间盒与工时统计合到一个应用里,数据留在你自己手里。 - [LibreOffice](https://aiworkswell.com/en/apps/t-libreoffice): LibreOffice 是一个完全免费的办公套件,兼容主流文档格式且不强制 AI。 - [LocalSend](https://aiworkswell.com/en/apps/localsend): 手机和电脑互传文件,不用数据线、不装厂商全家桶。 - One command / 一条命令 (1): https://aiworkswell.com/en/domains/productivity-org/level-3 - plain-text slice: https://aiworkswell.com/en/domains/productivity-org/level-3/llms.txt - [fzf](https://aiworkswell.com/en/apps/fzf): 终端里按几下键就能搜到任何历史命令和文件。 - Needs a toolchain / 需要环境 (1): https://aiworkswell.com/en/domains/productivity-org/level-4 - plain-text slice: https://aiworkswell.com/en/domains/productivity-org/level-4/llms.txt - [Tracecat](https://aiworkswell.com/en/apps/t-tracecat): 给安全团队用的开源自动化平台:把告警响应写成可版本控制的流程。 - Needs tinkering / 需要折腾 (4): https://aiworkswell.com/en/domains/productivity-org/level-5 - plain-text slice: https://aiworkswell.com/en/domains/productivity-org/level-5/llms.txt - [FreshRSS](https://aiworkswell.com/en/apps/t-freshrss): FreshRSS 是一个给要自己管订阅的人用的开源自托管阅读器,装一次全设备同步。 - [Stirling PDF](https://aiworkswell.com/en/apps/stirling-pdf): 合并、拆分、压缩 PDF,全在本机做,文件不上传。 - [Open WebUI](https://aiworkswell.com/en/apps/open-webui): 给本机的大模型配一个自己的聊天界面,数据不出门。 - [Jellyfin](https://aiworkswell.com/en/apps/jellyfin): 自己的影音库,家里所有设备都能看,不交会员费。 ## All domains - Education / 教育: https://aiworkswell.com/en/domains/education - Healthcare / 医疗健康: https://aiworkswell.com/en/domains/healthcare - Finance & business / 金融商业: https://aiworkswell.com/en/domains/finance - Legal / 法律合规: https://aiworkswell.com/en/domains/legal - Research & science / 科研: https://aiworkswell.com/en/domains/science - Art & design / 艺术设计: https://aiworkswell.com/en/domains/art-design - Enterprise & teams / 企业与团队: https://aiworkswell.com/en/domains/productivity-org - Accessibility / 无障碍: https://aiworkswell.com/en/domains/accessibility - Public good / 公益与社会: https://aiworkswell.com/en/domains/public-good - Marketing & growth / 营销与增长: https://aiworkswell.com/en/domains/marketing - Language & translation / 语言与翻译: https://aiworkswell.com/en/domains/language - Engineering & manufacturing / 工程与制造: https://aiworkswell.com/en/domains/engineering - Other domains / 其他领域: https://aiworkswell.com/en/domains/other-domain ## How to cite us - Credit this source as: AIWorksWell (https://aiworkswell.com/en/domains/productivity-org) - Credit the **original author**, not us: every entry carries its author and official page — cite that. - **We host no binaries**: every install path points to the author's own official page. - Use the bare URL above. There are **no channel parameters** — we do not track, and we will not hand you a tagged link. - Domains cut across content types; cite the domain answer page above, and cite each entry's **author**, not us. ## About AIWorksWell: Others tell you what exists. We hand you a prompt. Site index: https://aiworkswell.com/en/llms.txt We do not host any binaries. Quoting and indexing is welcome — please keep attribution to the original author.