# Context Agents Studio

> Part of Build and extend

Automate metadata enrichment at scale using AI-powered context agents that generate descriptions, READMEs, and SQL intelligence across your most important data assets.

- [Understand collections](https://docs.atlan.com/llms/platform/context-agents-studio/collections/llms.txt): Understand the collections available in Context Agents Studio—curated groups of data assets automatically surfaced from usage signals to help you prioritize metadata enrichment.
- [Understand context agents](https://docs.atlan.com/llms/platform/context-agents-studio/agents/llms.txt): Learn about the AI-powered context agents available in Context Agents Studio—specialized agents that generate descriptions, READMEs, and SQL intelligence.
- [Agent design decisions](https://docs.atlan.com/llms/platform/context-agents-studio/agent-design-decisions/llms.txt): Understand the key design decisions behind each context agent—why descriptions are verbose, what READMEs are optimized for, how SQL Intelligence works today, and where it's headed.
- [Enrich metadata on asset collections](https://docs.atlan.com/llms/platform/context-agents-studio/enrich-metadata-on-asset-collection/llms.txt): Step-by-step guide to triggering AI-powered metadata enrichment using context agents in Context Agents Studio.
- [Write effective custom instructions](https://docs.atlan.com/llms/platform/context-agents-studio/write-effective-custom-instructions/llms.txt): Learn how to write custom instructions that help Context Agents Studio generate accurate, business-relevant metadata descriptions for your organization.
- [Understand agent templates](https://docs.atlan.com/llms/platform/context-agents-studio/concepts-agent-templates/llms.txt): Learn how agent templates connect Atlan to your knowledge sources over MCP and turn what's written there into governed context, one outcome per template.
- [Create an agent from a template](https://docs.atlan.com/llms/platform/context-agents-studio/create-an-agent-from-a-template/llms.txt): Step-by-step guide to creating a context agent from a template in Atlan, from picking the template through to your first preview run.
- [Write run instructions for agent](https://docs.atlan.com/llms/platform/context-agents-studio/write-run-instructions/llms.txt): Learn how to write run instructions that tell a context agent template exactly which terms to extract from your documentation.
- [Run and schedule agent](https://docs.atlan.com/llms/platform/context-agents-studio/run-and-schedule-an-agent/llms.txt): Learn how to run a context agent, read its output, change its settings, and put it on a daily, weekly, or monthly schedule.
- [Metadata enrichment](https://docs.atlan.com/llms/platform/context-agents-studio/metadata-enrichment/llms.txt): Answers to common questions about Context Agents Studio—covering enrichment behavior, collections, agent support, processing time, and AI credit usage.
- [FAQ - Agent templates](https://docs.atlan.com/llms/platform/context-agents-studio/faq-agent-templates/llms.txt): Common questions about agent templates in Atlan, covering access, security, cost, run behaviour, and what's currently in the works.
- [Credit usage](https://docs.atlan.com/llms/platform/context-agents-studio/credit-usage/llms.txt): Understand how credits are consumed by context agents in Context Agents Studio and how to track usage in the Reporting section.
- [Enrich metadata at scale and feed context to AI](https://docs.atlan.com/llms/platform/context-agents-studio/enrich-metadata-at-scale/llms.txt): How to scope which assets to enrich, choose the right bulk mechanism, sequence enrichment so it grounds AI reliably, and answer the overwrite, quality, and security questions.