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Anthropic Introduces Claude Duet: A New Agentic AI App for Professionals

It’s nothing we haven’t seen before, but it’s hyper specificity toward business owners and professionals.

Anthropic Introduces Claude Duet: A New Agentic AI App for Professionals

Anthropic has unveiled Claude Duet, a new agentic AI application tailored for professionals and business owners. This tool aims to automate tasks that would typically require manual intervention. Although agentic AI is not a novel concept, Claude Duet is specifically designed for the professional sector, aligning well with Anthropic's established focus.

Built on top of Opus 5.5, Claude Duet functions as a streamlined assistant for daily operations. It integrates seamlessly with various work and productivity applications, including Gmail, calendar, Slack, and numerous others. This integration enables the AI to proactively identify tasks that require your attention, prioritizing them based on their perceived importance.

One of the key features of Claude Duet is its proactive nature. Unlike traditional AI tools, it doesn't require constant prompting to perform tasks in the future. Instead, it continuously analyzes your work apps to gather necessary information, both in terms of immediate action and future planning. It also understands when certain tasks can be postponed, allowing you to focus on the most critical responsibilities.

Anthropic emphasizes that Claude Duet prioritizes user privacy. The AI is equipped with robust safety protocols to prevent sensitive information from being inadvertently shared. It automatically rejects highly sensitive data, such as credit card numbers or ID information. For other sensitive data, like health or financial details, Claude Duet will seek user confirmation before any action is taken.

Currently, Claude Duet is available in a research preview, accessible only to users with Pro or Max subscription plans. Interested individuals can join a waitlist to gain early access to this innovative AI tool.

Written by urgent.news from CNET's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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