Anthropic launched Claude Tag, an AI agent that joins a corporate Slack as one more member: it makes pull requests, searches sales data, analyzes information, and executes tasks that the team delegates to it. The novelty is not the AI itself, but the format: it stops being a separate app to become a digital colleague within the tools you already use. Here we tell you how to start and what changes in the work dynamic.

The news, reported this week by The Verge and the Anthropic blog, marks a key trend: AI agents integrate into the existing workflow instead of requiring the team to change platforms. For companies in Argentina, this lowers the adoption barrier to almost zero.

What Claude Tag is and how it works

Claude Tag integrates into the Slack workspace as a participant with defined permissions. It's mentioned like any colleague and a task is delegated to it: "find last quarter's sales", "open a PR with this change", "summarize this thread and put together a plan". The agent executes and returns the result in the same channel.

• Pull requests: it can propose code changes directly in the repository.

• Data querying: it searches and summarizes sales or operations information.

• Analysis: it processes information and delivers actionable conclusions.

• Task execution: it performs delegated actions within its permissions.

Why it's different from a chatbot

A chatbot lives in its own window and answers questions. Claude Tag operates within the place where the team already works and executes real actions. That difference —from "a tool I consult" to "a colleague that acts"— is the one redefining the adoption of AI in companies. If you want to go deeper into the logic of autonomous agents, the article about how to create your own autonomous agent with AI is useful.

How to start using it in your team

1. Define clear use cases: start with repetitive and low-risk tasks.

2. Configure permissions: what the agent can see and what it can do.

3. Keep human supervision: especially at first, review what it produces.

4. Scale gradually: add tasks as the team gains confidence.

If you want to experiment with simpler flows before adding a complete agent, it can be useful to see what Flowise is and how to create visual AI agents without programming.

What changes in the work dynamic

The McKinsey State of AI report already pointed out that the greatest impact of generative AI arrives when it's integrated into existing processes, not when it lives isolated. Claude Tag is a direct example of that idea taken to teamwork.

Recommended Coderhouse courses

To take advantage of AI agents in your work, according to your level:

• To create and understand agents: the AI Agents Course.

• To automate team processes: the AI Automation Course.

• For technical profiles: the AI Engineering Course.

Get ready for the era of digital colleagues: train in AI agents with Coderhouse.

Frequently asked questions

What is Claude Tag?

It's an AI agent from Anthropic that integrates into a corporate Slack as one more member: it makes pull requests, searches data, analyzes information, and executes tasks that the team delegates to it within defined permissions.

How does it differ from a traditional chatbot?

A chatbot answers questions in its own window; Claude Tag operates within the tool where the team already works and executes real actions, functioning more like a colleague than like a query app.

Is it safe to give it access to company data?

The key is to configure limited permissions and keep human supervision, especially at the beginning. It's a good idea to start with low-risk tasks and scale as confidence is gained.

Do I need to be technical to use it?

For basic querying and delegation tasks, no. For advanced configurations or integrations with code and repositories, it helps to have technical knowledge or specific training in AI agents.