AI news as the front door
The news system tracks AI product launches, company updates, models, policy, and security so the site has a daily freshness layer instead of relying only on evergreen directory pages.
Why the site combines AI news, tools, models, tutorials, and buyer guides in one crawlable system.
Site overview
The goal is to help users move from a breaking update into the tools, models, tutorials, and buyer decisions that matter right after the news lands.
The news system tracks AI product launches, company updates, models, policy, and security so the site has a daily freshness layer instead of relying only on evergreen directory pages.
Each major story can lead into tool pages, models, guides, and tutorials. That keeps the site useful after the headline fades and gives search engines more contextual internal linking.
The main landing pages are generated as static HTML and linked through sitemaps so search crawlers can access important routes without depending on JS-only rendering.
Contact, discussion, and review flows are same-origin gated, rate limited, and designed to fail closed when secrets or moderation settings are missing.
Method