How AI Raw Feed curates stories, groups them by topic, summarizes updates, and handles corrections. This page exists so readers can judge the site on clear rules instead of vibes.
AI Raw Feed follows a mix of public AI news outlets, research and company announcements, creator channels, and practical tool ecosystems. The point is not to replace original reporting; it is to reduce the time it takes to notice and organize what matters.
Stories are grouped by recurring themes such as business, research, product, and policy. Summaries are short orientation blurbs designed to help readers decide what is worth opening next. The original article link remains the primary source of truth.
That means readers should treat this site as a navigation layer and a curation product, not as a substitute for the original source.
Evergreen pages on AI Raw Feed are built around repeat questions that real people ask: what AI is, which tools matter, who to follow, how jobs are changing, what risks are real, and how to install or secure specific tools like OpenClaw.
If a page does not help a reader learn, compare, evaluate, or act, it should not exist.
If a summary, link, pricing detail, attribution, or factual claim is wrong or stale, readers should use the contact page to report it. Corrections are most useful when they include the original source URL and the specific detail that needs changing.
The site primarily curates and summarizes public AI news, tools, and resources. It links back to original articles, videos, company pages, and other primary sources so readers can verify details directly.
The site tracks recurring AI sources, groups updates by topic, and creates short summaries designed to help readers decide what is worth opening, learning, or comparing next.
Use the contact page to report factual errors, stale links, or missing context. Corrections and updates should point to the original source whenever possible.