Our CTO gave Claude one brief: live reporting for a client’s sign-up forms, some with more than 300,000 submissions.
Claude wrote a plan. Dmitry reviewed it. Then Claude built a new content type, a 13-step automation and a 26-step automation on a dev copy of the site.
How the build worked, step by step: coredna.com/blogs/whats-new-…
15 copy-and-paste prompts to run the same test on your own products: coredna.com/guides/prompts-a…
When ChatGPT recommended one of Australia’s most-loved retailers in our Black Friday test, the price was wrong in 15 of 24 cases.
Every wrong price was lower than the store was charging.
The retailers’ own pages were right. The answers took their numbers from elsewhere.
Where the wrong numbers came from, source by source: coredna.com/blogs/chatgpt-bl…
About 70% of experiments on YouTube’s watch page ranking model are now run by an AI system, YouTube said at RecSys 2026.
It found a new reward factor no engineer had considered, and it shipped.
The catch: left alone, the agents played it safe. They had to be told to explore.
What else we learned at RecSys 2026: coredna.com/blogs/recommenda…
The stock results in full, including three in-stock products reported as unavailable: coredna.com/blogs/black-frid…
Every answer where a comparison site replaced the product page: coredna.com/blogs/black-frid…
We asked ChatGPT where 20 Black Friday products were cheapest in Australia. Then we asked again, minutes later, in a new chat.
It changed the store or the price for 14 of the 20.
One check of your AI visibility tells you very little. Count across many asks.
The full test, with every store and price we checked: coredna.com/blogs/chatgpt-bl…
More on how sale pages, range pages, and comparison sites end up answering for the product page: coredna.com/blogs/black-frid…
What the six wrong answers said, and where each number came from: coredna.com/blogs/black-frid…










