生产力1 month ago
Grammar — Your ideas deserve better than scattered tools
在一个地方捕捉会议、用AI写笔记、在共享画布上创建图表。
@rubs_murga · X
完整作品展
技术栈
17 projects
在一个地方捕捉会议、用AI写笔记、在共享画布上创建图表。
@rubs_murga · X
The best place to collaborate with your agent on your documents. Docs, real spreadsheets, slides, and team chat in one Jot workspace.
@jot_so · X
Jot — the workspace for you and your agent. Your AI doesn't just chat at you, it works where you keep your docs, tasks, and files. One place, human and agent build together.
Soontra：通过AI对话自动化内容生产的工作空间。
@wesselsHQ · X
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
在 AINA 工作区使用多个 AI 模型研究、搜索、分析文件和创作。
@sahiinthehood · X
在多个平台创建和发布内容的一体化平台。
@wztlink1013 · X
自己写了一个工具，专为内容创作者多平台发布， 富文本编辑体验，同时支持多个平台的格式平替兼容。
与AI共同编写韵脚和歌词，按小节组织。
@lostsignal8_ · X
for writers. ✍️ It can be used for any direct/intent form of writing such poems and song lyrics. A beautiful place to organize, brainstorm, and store it all.🧬📖
Build websites, slides, and documents through chat.
@7neon_7neon · X
🚀 is FOR SALE AI-powered platform for: ⚡ Chat & coding 🌐 Web app generation 📊 Slides & docs 🛠️ All-in-one AI workspace Production-ready • Scalable • Monetization-ready 🔗 📩 DM for serious inquiries #ForSale #AI
用专注的界面捕捉想法，保持心流。
@VanshSura · X
Just shipped a fresh UI update for MindDock ✨ Redesigned the experience to feel cleaner, faster, and more focused—making it easier to capture ideas and stay in flow. Still a lot more to build, but I'm happy with how it's evolving. 🚀 #buildinpublic
创建共享白板，进行素描、头脑风暴、分配任务和协作。
@claroboard · X
I built a whiteboard. The hardest part wasn't the coding. The hardest part was getting the first users. Want to give it a try?
通过语音创建专业商业文档。
@torgimaOS · X
Voice to any document in 30 seconds
管理学术会议：提交和审阅论文、处理日程安排和注册。
@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age