金融商业3 weeks ago
Offer Spell™ | AI Perfect Offer Quiz
答10个问题，AI生成你的定制报价蓝图。
@MarkZofMarkZ · X
and yes, while it's not a "launch" or a tool product persay, but please share it - it's kind of cool - take a quiz and get a product or offer:
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答10个问题，AI生成你的定制报价蓝图。
@MarkZofMarkZ · X
and yes, while it's not a "launch" or a tool product persay, but please share it - it's kind of cool - take a quiz and get a product or offer:
可从多个文档综合回答问题的对话AI,使用检索增强生成技术。
@alekhya2026 · X
Week 5 of @superdatasci AI Engineer Challenge — done. This week I: - Built multi-document RAG - Synthesized answers across sources - Deployed my first app on Render - Took my Digital Twin live on internet - Got my first taste of agentic AI Try here:
向多个AI模型提问，比较答案，观察它们辩论至共识。
u/trekhleb · Reddit
I kept pasting the same question into ChatGPT, Claude, and Gemini in three tabs; so I built a Yes-Brainer — a council of AI models, that answer your question in parallel, debate to consensus, or get judged to a verdict. submitted by /u/trekhleb to r/SideProject [link] [comments]
Ask multiple leading AI models the same question and compare their answers side by side.
@christosag · X
🚀 Pre-Seed | MVP Validation ⚡ Multiple MVPs live - with more continuously shipping. 🔎 RAG - verifiable doc search 🏥 Health - scheduling 🤖 AI Compare - consensus 🏗️ Builder Scrutiny - contract intel 🤝 Angels + Pre-Seed VCs welcome
通过回答问题为 ChatGPT、Claude 等生成结构化的 AI 提示词。
@askjames_co · X
Semantic search across models, tools, prompts, glossary, tutorials, and comparisons. Built for clarity, not hype.
@GenAIGeeks · X
Explore AI Without the Noise!
训练AI代理学习你的知识来回答访客问题。
@withmindola · X
let's go! you can build you digital twin by feeding all your content and share it with people so they can talk to your second brain in your own voice.
One Question：上传知识库，让AI永远为你回答问题。
@Asym_Alwali · X
创建AI生成的实时测验,支持观众即时互动。
EZQuiz — AI 智能实时测验，让你快速创建、分享并与观众通过实时互动测验进行互动
为技术文档创建 AI 助手，立即回答用户问题。
@emilsnotes · X
Our customers using Claude Code move faster than we can ship features. So we stopped fighting it and leaned in. Here's why it's paying off: 👇️ Some context: powers AI agents that answer millions of technical questions per month. Those conversations are a goldmine - they tell you exactly what users struggle with and where your docs fall short. We've built a lot of analytics on top of this (Coverage Gaps, Top Questions, and more), and teams love them. But here's the honest truth: no dashboard covers every edge case for every company. Meanwhile, our sharpest customers were already exporting kapa data and throwing their coding agents at it in ways we never designed for. So instead of chasing every workflow with a UI, we took the best practices we've seen actually work and packaged them as Kapa Skills - installable in Claude Code, Cursor, or Codex: 1/ Analyze Coverage Gaps: your agent works through the topics kapa couldn't answer and writes the missing content straig
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,