AI 智能体1 month ago
QWQ AI - Intelligent Q&A Assistant
QWQ AI 是免费问答助手，提供详细推理答案，无需登录。
QWQ AI Assistant — 免费提供经过深思熟虑且富有详细推理的答案的 AI 助手，不需要登录
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14 projects
QWQ AI 是免费问答助手，提供详细推理答案，无需登录。
QWQ AI Assistant — 免费提供经过深思熟虑且富有详细推理的答案的 AI 助手，不需要登录
用AI快速生成更好的社媒回复，符合你的风格。
@kashifbuilds · X
Hey hey, I recently launched and am currently working on onboarding and engagement metrics. Lets connect!
用 AI 检测监控竞争对手的定价、定位和信息变化。
mhhabib · Product Hunt
IntelDif AI-driven competitive intelligence without the alert fatigue
AI代理智能回答文档中的支持问题并筛选销售线索。
@the_real_ori · X
Building AI support agent for SaaS. One agent, support and sales in the same inbox. What are you shipping?
Analyzes why your emails land in spam and provides AI-powered fixes to improve inbox placement.
ismaelyws · HN
Hey HN, I built an email deliverability SaaS with a RAG system. It's trained on all my knowledge and hundreds of real deliverability use cases from 4+ years experience as an Email Deliverability Specialist on Upwork. It solves a frustration problem a lot of businesses are experiencing. I'm looking for feedback so let me know in the comments.
通过滑动式场景测验提升在育儿、沟通、领导力和财务方面的判断力。
@ShashankBhutiy4 · X
Duolingo for Soft Skills and career growth
用自动可读性评分检查 AI 代理对您网站的理解程度。
tommy2970 · HN
Lagotto Meter – how well do AI agents understand your website?
用于语音、聊天和视频面试的 AI 平台，提供自动转录和分析。
Aural — 开源 AI 面试平台，支持语音、聊天和视频面试，提供自适应追问、结构化评分、面试练习与自托管 - [查看仓库](https://github.com/1146345502/aural-oss)
@Joi2James Cognitive Intelligence Labs — 工程化 Sovereign Multi-Agent AI 及 Next-Generation Cognitive Systems。https://t.co/oVTMYq3hcw
@XoDaGod · X
Cognitive Intelligence Labs — Engineering Sovereign Multi‑Agent AI and Next‑Generation Cognitive Systems.
通过回答问题为 ChatGPT、Claude 等生成结构化的 AI 提示词。
@askjames_co · X
向多个前沿大模型提问，获得经过同行评审的综合答案。
u/Puzzleheaded-Log-27 · Reddit
Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree
