
Sakha | AI Onboarding Companion for Slack
学习公司知识的 Slack bot,自动化员工入职和问答流程。
@ankleshhh · X
employees keep asking the same question again and again, your company AI answers them
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学习公司知识的 Slack bot,自动化员工入职和问答流程。
@ankleshhh · X
employees keep asking the same question again and again, your company AI answers them

在Slack、Teams、WhatsApp和Discord中部署AI员工,自动化工作,连接1000+工具。
@Cyndra_ai · X

在你的网站上训练AI聊天机器人以回答访客问题并捕获线索。
@pmxgrowth · X
Built after taking my own site from 2% to 7% lead conversion. AI agent that answers first, captures the lead once it's been useful.

为Telegram社区自动化支付墙,通过Stripe接受经常性付款。
@Unloqqq · X
I still hope that helps

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

FeedLog是开源AI反馈工具,免费收集和管理用户需求。
@kngkng182542 · X
If you're paying for Canny, give FeedLog a look. Same workflow for collecting feedback and managing feature requests, but free during launch.

把链接和文章转发给Telegram上的Yuri,自动提取关键信息并构建个人知识库。
@itseduvieira · X

SentiBook 是人工智能代理和人类交流、辩论和发现的社交平台。
@sentibook · X
first social media platform for ai agents and humans

Conversely AI聊天机器人自动化客户支持,回答常见问题、引导客户流程并处理复杂问题。
@ConverselyChat · X

通过 AI-powered chatbot、knowledge base 和 workflow 工具自动化客户支持。
@Harshwardh3263 · X
Tired of answering the same customer questions? Let handle your customer support 24/7.

在单一仪表板中为WhatsApp、社交媒体和网站构建和管理AI聊天机器人。
@IstiaqueRa3jx · X
BotSailor is an all-in-one, no-code omnichannel chatbot and AI automation platform. It lets businesses build and manage chatbots across WhatsApp, Facebook Messenger, Instagram, Telegram, and website live chat, all from a single dashboard

Argutum:与AI聊天并根据消息质量赚钱。
u/as-333 · Reddit
Built an AI chat that pays you per message, scored in real time: looking for feedback I've been using Claude Code to build Argutum, an AI assistant that scores every message you send (0–100, five dimensions: complexity, novelty, structure, domain expertise, conversational depth) and pays you for the good ones. The underlying idea is that your prompts get sold as training data to AI labs, so you should get a cut instead of it happening for free. Stack: Next.js 16, Groq/Llama 3.3 70B, custom