
Meet the AI police who can make or break careers—in publishing and beyond.
Pangram is an AI detection startup that analyzes text and estimates what percentage was generated by artificial intelligence rather than written by humans. The company has gained prominence by publicly flagging suspected AI-generated content in published works, including a self-published novel, a New York Times column, and award-winning stories, which has led to canceled book deals and increased scrutiny of AI use in writing. The demand to distinguish AI-generated text from human writing has grown significantly, making Pangram's accuracy and trustworthiness important questions as the company expands its services across publishing, education, legal fields, and recruitment. However, the company has faced criticism from writers and others who view AI detection software negatively, and questions remain about the reliability of Pangram's detection methods and its role in these literary controversies.

While restaurant owners might look to generative AI as a shortcut to sprucing up their menu, customers can viscerally sense that something is wrong with the food.
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ChatGPT, Claude, and Grok all suffered outages at nearly the exact same time for reasons that remain murky.

Most teams building a shopping assistant or agent rebuild the same scaffolding: an agent loop, a tool layer over the catalog, an approval gate, and an eval suite. Anthropic has now released that scaffolding as code. This week, they published anthropics/commerce-agents, a reference blueprint containing a shopping agent and a merchant agent, along with four runnable verticals: retail, travel, telecom and entertainment. It ships alongside two write-ups: a product announcement and an engineering de
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