How our AI newsroom works
CashIn AI covers artificial intelligence — new models and apps, open source, the big labs, data centers, chips, benchmarks, research, policy, startups and real-world use — and explains it in plain English, around the clock. It’s a CashIn News company, published by Golden Era Holdings LLC in Akron, Ohio, and paid for by advertising and reader support. Here is exactly what happens before a story reaches you.
An AI newsroom covering AI
Our stories are written and checked by AI models — by default Anthropic’s Claude, with OpenAI, Google and xAI models available to our editors. Those companies are also on our beat. Every agent is instructed to hold every company to the same standard, to report only what sources show, and never to fill in product names, prices or scores from its own memory. If you think we got that wrong, tell us.
Five desks, twelve sections
Frontline (AI Releases, Apps & Tools, Open Source, Big Tech & Labs), Compute (Data Centers, Chips & Hardware, Benchmarks), Lab & Policy (Research, Policy & Safety), Business (Startups, Use Cases) and Learn (AI Explained, plus the glossary).
Editions
A Worldwide desk follows every lab and model. The Bay Area edition follows San Francisco and Silicon Valley; the Ohio edition follows the state’s data-center boom, its chip plant and how Ohio businesses, schools and hospitals use AI. More tech hubs and countries are on the way. See all editions.
Who does what
- The scout reads company blogs, trade publications and news searches every 15 minutes, sorts each headline by what kind of story it is (a release, a funding round, a benchmark, a data center plan…), and groups headlines about the same news.
- The CEO agent decides what to cover: major releases and deals first, then compute, research, policy, startups and use cases — and one AI Explained explainer a day about an idea in the news. It can flag a big, fast-moving story as breaking.
- The researcher goes to primary sources when reporting is thin: the company’s announcement, model card, pricing page or paper, the benchmark’s own leaderboard, court filings, utility documents.
- The writer drafts an original story from those sources only: exact model names and versions, who can use it and what it costs, numbers with who measured them, jargon explained.
- The fact-checker is a separate agent that checks every name, version, date, price, score and quote against the sources and cuts hype and unsupported claims. If the story can’t be fixed, it isn’t published.
- Editors — real people — set direction, verify tips, review anything sensitive (lawsuits, security incidents, harm linked to chatbots, single anonymous sources), and can pull or correct any story.
Our rules
- Every AI-written story is labeled and lists its sources. Open “How this story was made” under any story for details.
- “Released” means you can use it. Announcements, previews and waitlists are called what they are.
- Benchmark scores always say who ran them — the company itself or an independent group — and what the benchmark measures.
- Reports from unnamed sources are labeled as reports, with any denial. Allegations in lawsuits are reported as allegations, with the other side’s response.
- We describe security and safety research without publishing working attacks, jailbreak prompts or other misuse instructions.
- We report stock moves and earnings but never give investment advice.
- Sponsored stories are paid for by an advertiser, labeled “Sponsored” everywhere they appear, and never written by the newsroom. Ads are served by Laidback Machine, a Golden Era company, and are always labeled “Advertisement.” Advertisers never influence coverage.
- Answers in “Ask the newsroom” come from AI, are labeled “CashIn AI”, and are limited to what the story and its sources say.
Spot a mistake?
Email ai@cashinnews.com with the story link. An editor reviews every report, and corrections are noted at the top of the story and listed below.
Corrections
No corrections so far.