Anthropic has introduced Claude Tag, a new method for teams to interact with Claude. This feature is initially available on Slack, where Claude can join as a team member. Users can tag @Claude in selected channels to delegate tasks, with Claude building context from channel information and planning future actions.
Key Points
- Claude Tag allows teams to integrate Claude into Slack channels.
- It functions as a multiplayer AI, enabling multiple team members to interact with a single Claude instance in a channel.
- Claude learns over time by building context from channel activity and can learn from other Slack channels and data sources if granted permission.
- With "ambient" behavior enabled, Claude can proactively provide updates and follow up on tasks.
- Claude works asynchronously, allowing users to delegate tasks and focus on other priorities while it operates autonomously.
- Claude Tag is available in beta for Claude Enterprise and Team customers, working with Opus 4.8.
- Anthropic's product team internally uses a version of Claude Tag for 65% of its code creation.
Context
According to Anthropic, Claude Tag represents an evolution of Claude Code, making the model more proactive and better suited for team environments. The company states that its internal product team utilizes a version of Claude Tag to generate 65% of its code. This pattern extends beyond engineering, with Claude being tagged for tasks such as analyzing product metrics, managing support tickets, and identifying root causes of bugs.
Claude Tag is designed for collaborative work, allowing anyone in a channel to see Claude's progress and continue conversations. It can also be configured with tight controls over access to sensitive data and tools, with system administrators defining which information and tools the model can access in specific channels. This creates separate Claude identities, ensuring that memories and access are scoped to defined channels.
Why It Matters
Claude Tag offers a structured approach for integrating AI into team workflows, particularly within communication platforms like Slack. Its ability to build context, work asynchronously, and operate in a multiplayer mode could enable teams to delegate a broader range of tasks to AI, potentially increasing efficiency and allowing human team members to focus on other priorities.