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Anthropic launches Claude Tag, replacing its Slack app with a persistent AI teammate that learns, monitors and works autonomously
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Anthropic launches Claude Tag, replacing its Slack app with a persistent AI teammate that learns, monitors and works autonomously

VentureBeat AI · Jun 23, 2026, 5:00 PM · Also reported by 4 other sources

Why this matters: a development in AI with implications for how people work, create, and decide.

Anthropic on Tuesday launched Claude Tag, a new product that embeds its most advanced AI model directly inside Slack as a persistent, shared teammate that anyone on a team can delegate work to by simply typing @Claude.The product, available today in beta for Claude Enterprise and Team customers, replaces Anthropic's existing Claude in Slack app and represents the company's most aggressive move yet to colonize the enterprise collaboration layer — the place where decisions get made, work gets assigned, and institutional knowledge accumulates in real time.For enterprise technology leaders who have spent the past two years evaluating where AI fits into their operational stack, Claude Tag reframes the question entirely. This is not a chatbot, a coding assistant, or a search tool bolted onto a messaging platform. It is an AI agent designed to function as a standing member of a team — one that builds memory, takes initiative, works asynchronously, and interacts with every person in a channel rather than serving a single user. The implications for enterprise workflow, governance, and vendor strategy are significant.Anthropic says 65% of its own product team's code is now created by its internal version of Claude Tag, and the company runs internal support and data insight channels through the same system. The claim is striking: Anthropic is asserting that the majority of its own product engineering output already flows through the tool it just put in customers' hands.How Claude Tag works inside enterprise Slack channelsAt its core, Claude Tag works like this: an administrator pairs it with a Slack workspace, grants it access to specific tools and data sources, sets spending limits, and defines which channels it can operate in. From that point on, any team member in those channels can tag @Claude with a request — write a pull request, pull sales numbers, run a data analysis — and Claude will break the task into stages, execute them using the tools it has a

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