Our curation process, sources, quality standards, and editorial principles — fully transparent.
The AI industry produces hundreds of announcements, papers, and product launches every day. Most coverage optimizes for clicks, not clarity. Hype cycles inflate minor updates into revolutions. And when outlets have financial ties to the companies they cover, it's hard to tell genuine importance from commercial interest.
AI Daily takes a different approach: pull from 30+ primary sources across multiple languages, score every item algorithmically, produce deep analysis (not summaries of summaries), and publish in 7 languages simultaneously.
Every day, our system monitors 30+ sources across company blogs, tech media, research repositories, social media (X/Twitter), and community discussions. We track 18 key X/Twitter accounts from major AI labs and researchers in real-time.
Each candidate story is scored across multiple dimensions: novelty (is this genuinely new?), impact (who does this affect and how much?), technical depth (does this advance the field?), and source authority (primary vs. secondhand reporting). Only top-scoring items make the cut.
Unlike digest-style sites that summarize headlines, each AI Daily article contains 1,000–2,500 words of original analysis. We cross-reference multiple sources, provide historical context, assess industry implications, and outline future trajectories. Every article includes structured FAQ sections for quick answers.
Content is produced in 7 languages — Chinese (Simplified & Traditional), English, Japanese, French, German, and Korean — with native-quality writing in each, not machine-translated afterthoughts. Each language version is culturally adapted for its audience.
Every article includes NewsArticle schema, FAQ structured data, breadcrumb navigation, hreflang cross-language links, and RSS feeds — making content discoverable by search engines and AI assistants alike.
Our current monitoring list includes:
Company Blogs & Official Channels
Tech Media
Research & Community
X/Twitter Accounts (Real-Time)
We are not a summary service. We don't rewrite press releases or compress other people's reporting. Every article is original analysis built from primary sources.
We are not sponsored. No company pays for coverage. No stories are placed. Our scoring algorithm doesn't know who buys ads.
We are not opinion. We present facts, context, and implications. Readers form their own conclusions.
We make mistakes. When we do, we correct them transparently. If you spot an error, email [email protected].