AI 智能体1 month ago
That Was AI
That Was AI：自动接听并解决来电的智能代理。
@akshaysolenk · X
Just launched. Building in public.
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That Was AI：自动接听并解决来电的智能代理。
@akshaysolenk · X
Just launched. Building in public.
部署基于您业务数据训练的AI代理，用于回答客户问题和筛选潜在客户。
u/george_owen123 · Reddit
What I learned building an AI chatbot: the ecom tools are everywhere, but service businesses are completely underserved Spent the last few months building Chirpy, an AI receptionist for websites, with my co-founder. The biggest thing I've learned is a positioning one, and I think it applies well beyond my niche. When we started, we assumed we'd compete in the ecommerce chatbot space, because that's where all the money and attention is. But it's extremely saturated. Gorgias, Tidio, Intercom,
通过AI聊天界面查询公司文档和内部指南。
@DD_Ferel · X
We built IntelliBase AI: a smart knowledge base that "learns" directly from your company's own documents, so HR & Ops teams can ask questions naturally instead of digging through files one by one. 🌐 Interested in trying it for your team? Comment or DM us
BotbaseAI：无需编码快速构建并部署 AI 客服机器人
@BotbaseAi · X
We just shipped 🚀 BotbaseAI — build & deploy an AI customer support agent in minutes. No code. Looking for early testers to break it and tell us what sucks. Try it → 🙏 RTs appreciated #buildinpublic #AI #SaaS
与 AI 招聘官练习面试，获得实时反馈。
BenGallagh · HN
AI mock interview tool that scores your answers – free, no signup
聊天对比 AI 模型，投票参与排行榜排名。
u/Rabus · Reddit
I got TestingModels too overcomplicated over the month it is running: looking for some feedback how to make it more useful and simpler I run a benchmark like arena.ai , but with pre-generated prompts. So far, nearly 6k people came in and like 30k comparisons has been made - which means the thing is genuinely useful for people to compare the models. The problem is the more features i started adding the more overblown and complicated UI became - like old internet explorer tab bars Old: ht
AI助手从团队共享上下文中回答问题，并提供信息源。
@nav_ux · X
Get your whole team's AI on the same page.
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
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
向Claude、GPT和Gemini提问，获得它们相互审核的共识答案。
@StevenJdotCom · X
One AI makes mistakes. Three catch each other's. AI Consensus runs your prompt through Claude, GPT and Gemini. They work it independently, then critique each other until they reach consensus — handing you an AI audited, combined answer.
用 AI 快速生成个性化邮件回复，支持自定义语气和团队协作。
@Hassan71030486 · X
Generate personalized AI-powered cold email replies in seconds. Perfect for founders, agencies, freelancers, and sales teams. ✨ Try 3 replies for free — no signup required. Would love your feedback! 👇 🚀 Sendox —
为您的网站部署自定义AI聊天机器人，实现客户支持、销售和线索生成。
u/frontend_edy · Reddit
i just did it 🤩 ! crossed $273 in revenue with my saas. After months of building, redesigning, and questioning whether anyone would actually pay for what I built, I finally crossed $273 in total revenue . It’s not life-changing money, but it’s the first real proof that someone is willing to pay for software I created. A few things I’ve learned so far: Shipping beats endlessly polishing features. Talking to users is more valuable than guessing what they want.