
大模型 API 中转站检测|排查模型降智、套壳与协议兼容性
检测 OpenAI 兼容接口的模型质量问题和能力降级。
AI快站模型质量检测 — 面向 OpenAI Compatible 接口的网页检测工具,输入公开 HTTPS 地址和临时 API Key,可检查模型声明、Token、动态题、SSE 与工具调用并生成分项报告;密钥仅用于当次检测,不写入数据库、缓存或日志
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检测 OpenAI 兼容接口的模型质量问题和能力降级。
AI快站模型质量检测 — 面向 OpenAI Compatible 接口的网页检测工具,输入公开 HTTPS 地址和临时 API Key,可检查模型声明、Token、动态题、SSE 与工具调用并生成分项报告;密钥仅用于当次检测,不写入数据库、缓存或日志

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

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

AI驱动的搜索引擎,汇集可信来源为您提供精准答案。
u/Redshankscommune1 · Reddit
Building an AI search engine instead of another chatbot I've been building an AI-powered search engine over the last few months as a side project. The idea came from noticing that I'd often Google something, open several tabs, then copy everything into an AI tool to get a useful answer. It felt like there was an unnecessary step in the process. The goal isn't to replace the web, but to make research faster by generating structured answers with citations and giving users the option to see

五位历史人物为您的人生难题辩论,由马可·奥勒留给出最终裁决。
u/Rcoo232 · Reddit
I built a council of 5 historical figures that debates your hardest life decision (based on Karpathy's LLM Council) A few weeks ago, I came across Karpathy's "LLM Council" concept. You ask multiple Agents the same question independently, have them anonymously peer-review each other, then synthesise a final answer. The peer-review round is the genius part; models get surprisingly honest when critiquing anonymised responses. I turned it into a consumer product where the council members are hi

与AI代理聊天,实时扫描网络应用和API中的漏洞。
@SableOffensive · X
Building Sable. An AaaS where specialized AI security agents perform penetration testing for web apps and APIs, helping teams find vulnerabilities before they reach production.

简历扫描工具,检查ATS分数并一键优化以提高求职匹配度。
@imabhijeet_s · X
Get more interview-ready resumes with AI-powered ATS analysis and one-click job-specific optimization.

发送真实AI代理测试网站,找出它们卡住的地方并获得修复方案。
@louiswharmby · X
It's funny how that happens! My dog vibe coded and managed to achieve 500 users in the first month! 🤣

检查简历的 ATS 兼容性和招聘人员最佳实践
@Pavan092004 · X
hey lets connect, here's im building one tool: feedback is appreciated...!


验证AI代理的决策,然后尝试篡改验证记录。
foh_quarters · HN
Verify what an AI agent did, then tamper with the record (no signup)

在发布前检查AI生成内容中的错误和安全问题。
u/Brief_Dust8845 · Reddit
I pivoted from my initial idea after realizing I was solving the right problem at the wrong time When I started building GaaS Guard, it was an AI governance tool for companies. The idea was to help organizations defend against prompt injection and unsafe AI interactions. It was technically interesting, and I still genuinely believe I was solving a real problem. The problem was, it just wasn’t selling—to be brutally honest. Here’s how I actually ended up pivoting. I started using a b