
Podwise - AI Copilot for Podcast Listeners
Podwise 是播客 AI 助手,帮你理解并记住每期节目的要点。
Podwise — 专为播客听友设计的 AI 知识管理应用
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Podwise 是播客 AI 助手,帮你理解并记住每期节目的要点。
Podwise — 专为播客听友设计的 AI 知识管理应用


使用 FRAI 扫描网站中的 AI 使用情况,并测试聊天机器人的偏差和安全性。
@sebuzdugan · X
building @getfrai , an open source toolkit that helps ML engineers navigate EU AI Act compliance, model cards, risk files, the boring but necessary stuff

定义一次团队信息,让所有 AI 工具同步访问和更新。
@nav_ux · X
BaseThread here. We're building the shared context layer so a team's AI tools, Claude, ChatGPT, Cursor, all read and write the same thing instead of starting cold every session.


将您的网站转化为 24/7 AI 聊天机器人,自动回答客户问题
@ContextGPTai · X
— AI Chatbot That Knows Your Business ContextGPT lets you build an AI chatbot trained on your website, PDFs, Docx, ppts, Youtube, Sharepoint, Notion, Confluence, GitBook, Box, Github, iCloud. Integrate the ai to Slack, Crisp, Zendesk, Freshchat, Zoho,etc

用 AI 创作多模态内容的对话式创意画布。
BananaCanvas AI — 前沿的创意工作区,结合了基于对话的 AI 交互和无限画布,用于多模态内容创作。

Build AI-powered workflows from your notes to automate GTM and sales processes.
@jingconan · X
Hi! Let's Connect! I am building which helps founders to turn ideas to reusable workflows

在统一终端中同步管理多个AI代理和项目。
@soracstv · X
I run my AI coding agents with AgentsRoom, a visual command center for multi-agent development. @AgentsRoomDev #VibeCoding #AI

Ornymo通过语义缓存减少LLM查询成本和延迟。
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]

ZOOOP是AI原生创作平台,在浏览器无限画布生成图像、视频和音频。
ZOOOP — AI 原生创作平台,支持在浏览器端无限画布上生成图像、视频和音频,提供去背景、高清化等专项工具及即用型 AI 模板,支持发布模板赚取积分,并具备团队共享积分模式。

在AI助手间共享上下文,让它们记住代码库和任务历史。
@dorikuio · X
AI agents have amnesia — Claude Code figures out the codebase, an hour later Codex starts from zero. So I built a shared memory + task board for every MCP agent — Claude Code, Codex, Cursor, Gemini CLI: Is this just my problem? Help me find out.