New York Post Media Group launched Hamilton on 11 August, a free reader-facing AI interface running inside The New York Post and California Post apps. The company says the tool "combines conversational search, personalized news digests, tailored recommendations and intelligent notifications into a single reader experience" and brings "The Post's unmistakable voice to the era of artificial intelligence". It runs on Google's Gemini model1. Axios reported the launch the same day2.
The two mastheads share one interface, so the group gets a template it can extend across the wider portfolio without a second build. Conversational search here means a reader asks a question in plain language and the tool answers from the publisher's own journalism, rather than returning a list of article links.
Reuters Institute research put weekly AI chatbot use for news at 10 per cent globally in June. A publisher building its own chat surface is trying to keep that question inside its own app, because the alternative is losing it to a general assistant that will summarise the same journalism free of charge. Keeping it also keeps the behavioural signal the question carries.
The dependency runs the other way, though. Hamilton is built on the model layer of the company whose assistant it is defending against, and an interface renting one vendor's model inherits that vendor's pricing, availability and content policy. The product limit shows up at the first question a reader asks: Hamilton answers from one publisher's archive, and a reader comparing accounts across outlets has no reason to start there. This reads as a retention product for readers who already opened the app, not an acquisition product for the search traffic the Post is losing.
