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4 changes: 4 additions & 0 deletions get-started/core-concepts/agents.mdx
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## What are Agents?

Agents are powered by LLMs that plan and complete tasks on autopilot. They are given tools, and decide how to use tools to achieve goals prompted by you.

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Did you really mean 'LLMs'?

Unlike traditional automation that follows rigid, pre-programmed rules, AI agents can:

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If an agent doesn't know something, it can escalate to a human, store the answer, and use it next time. Ours posts unknowns to Slack for fast input and learning.
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Agents can run fully autonomously or in co-pilot mode. One of ours builds Webflow pages daily—no human touch required.

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Did you really mean 'Webflow'?
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Unlike rule-based tools, agents adapt their responses to each task. A support agent might troubleshoot one day and resolve billing the next.
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You can organize your Agents into folders within your project, making it easier to categorize and find Agents based on their purpose, department, or use case. This is particularly useful for teams managing large numbers of Agents across different functions.

### Organizing with tags

Tags give you a flexible way to categorize agents that cuts across folder boundaries — unlike folders, a single agent can have multiple tags at once, making it easy to group agents by team, status, client, or any other dimension that matters to your workflow. To create a tag, hover over an agent in the agent list and click the **Add Tag** button that appears, then select a color, give the tag a name, and click **Save**. Once a tag exists, you can assign it to other agents the same way. You need Editor permission to create or manage tags.

## How to get the most from your Agents?

When inventing or creating an agent, you'd want to utilize domain expertise or model an agent after a Domain expert:
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