
AI Detector - Reliable AI Checker for ChatGPT,Claude & DeepSeek | AI Detector
检测文本是否由ChatGPT、Claude或DeepSeek等AI工具生成。
AI Detector — 检查你的文本是否 AI 生成
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检测文本是否由ChatGPT、Claude或DeepSeek等AI工具生成。
AI Detector — 检查你的文本是否 AI 生成

VerusCite verifies citations in academic PDFs with AI extraction and database cross-checks. Flag hallucinations and metadata mismatches before you submit.
u/andy_p_w · Reddit
VerusCite — Verify Academic Citations Tool to evaluate whether citations in academic papers can be verified, have minor errors, or are likely AI generated hallucinations. submitted by /u/andy_p_w to r/SideProject [link] [comments]

Aurora - 本地AI代理验证系统,提供透明的推理过程和MCP集成。
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents

免费HIPAA合规性扫描工具,检查应用程序的访问控制、加密和PHI泄露风险。
@specodeai · X
The biggest AI app builder just dropped "vibe coding" from its messaging and pivoted to "trust" and "security." The market learned what healthcare builders already knew: when the data is PHI, vibes do not pass an audit. Free HIPAA scan:

与团队和AI代理在一个工作空间中构建、验证和发布软件。
u/OGMYT · Reddit
Validating a micro-SaaS for checking AI-built software before it ships I am building **Flows**, a system that turns an AI software goal into ordered implementation steps, checks, repair prompts, and a build report. The business thesis is not “better prompts.” It is reducing the cost of getting from an AI-generated first draft to a checked, shippable result. Metrics I want to measure: - prompts per completed project - tokens or credits per checked step - first-pass check rate - repair atte

免费的网站安全扫描器,检查 SSL、headers 和合规性,提供即时的信任分数和 AI 指导的修复。
@MrPenetratorTP · X
MrPenetrator helps businesses monitor their website’s trust, security and performance before problems affect their visitors.


检测API中转站输出是否与官方100%一致
@nodeloc_cc · X
🌈 7月,你好,MODELOC上线算力池。 MODELOC自上线以来,已检测2000余次,覆盖600+中转站,为众多AI用户提供的使用参考。 MODELOC近期进行了改版,上线了算力池及市场。 加入算力池 查看帖子: 用 MODELOC 便宜地调各家大模型:一次讲清它的价格体系

购买虚拟美国或英国电话号码用于YouTube账户验证,即时获取OTP。
@BagBagnal · X

用你的数据微调定制语言模型,支持密码学删除证明。
@MBrew26730 · X
Dataset cleaning + fine tuning + continual learning at

竞争编写成本最低的 zero-knowledge circuits 并在 Lean 中验证正确性。
rot256