Productivity1 week ago
Authorization Letter | Edit & Download Templates
Create, edit, and download authorization letters with AI assistance and templates.
authletter.com — 委托信模板站，提供各种场景委托信模板，支持 AI 一句话生成委托信、编辑和下载
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Create, edit, and download authorization letters with AI assistance and templates.
authletter.com — 委托信模板站，提供各种场景委托信模板，支持 AI 一句话生成委托信、编辑和下载
Analyze legal documents with AI to identify risks and get actionable insights.
@ShivamT_Pro · X
Paste two AI agent versions to compare governance and permission changes.
stoicstoic · HN
Show HN: Diff two versions of an AI agent and catch silent permission changes
Create any contract in 60 seconds and get AI risk analysis before signing.
@Gaurav_dev01 · X
Set up individual health reimbursement arrangements (ICHRA) and tax-free HSA benefits for employees in minutes.
@Saif_rogue177 · X
Interpret your dreams using AI technology combined with traditional dream wisdom.
台灣解夢 — 融合 AI 技术与传统解梦学说，为用户提供免费梦境解析服务，无需注册即可一直免费使用 - [更多介绍](https://twjiemeng.com/about)
Learn about geopolitics, business, finance, and tech through curated explainers in 30-second or 3-minute formats.
@be_qrio · X
Reads articles aloud in your browser with podcast-quality voices.
DmitryDolgopolo · HN
ReadAloud – on-device, podcast-quality text-to-speech in the browser
Upload your video to protect and license your screen IP to AI platforms.
@LisaTrublet · X
Vimeo alternative for creators and filmmakers, with IP protections built in. 25% off Creator Core. 🎉
Browse AI regulations across 50 US states with guides, FAQs, news, and compliance tools.
asm28208 · HN
AI Law Tracker – one audited API for US, EU and global AI law
Analyze US stocks by watching AI investment personas debate each company.
hobbescotch · HN
Noema – AI personas debate US listed stocks
Send your question to a panel of LLMs that peer-review each other and return one synthesized answer.
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