21 docs tagged with "context-agents-studio"

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.

The limits on what one Asset ↔ Term Linker run and one agent can read and write, and what happens when a limit is reached.

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

Step-by-step guide to creating a context agent from a template in Atlan, from picking the template through to your first preview run.

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.

Step-by-step guide to triggering AI-powered metadata enrichment using context agents in Context Agents Studio.

Common questions about agent templates in Atlan, covering access, security, cost, run behaviour, and what's currently in the works.

Common questions about the Asset ↔ Term Linker agent template in Atlan, covering which terms it links, what it writes, review and undo, cost, and what's in the works.

The Flexi Credits each Atlan AI capability uses, for AI enrichment, conversational AI, and advanced MCP tools, with worked examples.

Understand how Atlan Flexi Credits work: what uses them, how the pool works, when they expire, and how conversational AI, AI enrichment, and MCP tools are charged.

Step-by-step guide to creating an Asset ↔ Term Linker agent in Atlan, running a sample, reviewing the proposed term links, and publishing them.

Answers to common questions about Context Agents Studio—covering enrichment behavior, collections, agent support, processing time, and Flexi Credit usage.

Track Flexi Credit usage in the reporting center. View your available balance, burn rate and runway, daily burn, Flexi Credits used by each user and context agent, recent transactions, and assets enriched in collections.

Learn how to run a context agent, read its output, change its settings, and put it on a daily, weekly, or monthly schedule.

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.

Learn how the Asset ↔ Term Linker agent template decides which glossary terms belong on which tables, views, and columns, what it writes, and the guardrails that keep a human in the loop.

Understand the collections available in Context Agents Studio—curated groups of data assets automatically surfaced from usage signals to help you prioritize metadata enrichment.

Learn about the AI-powered context agents available in Context Agents Studio—specialized agents that generate descriptions, READMEs, and SQL intelligence.

Learn where Atlan stores the three kinds of asset description, which one appears in the UI, and what happens when you accept or edit an AI-generated description.

Learn how to write custom instructions that help Context Agents Studio generate accurate, business-relevant metadata descriptions for your organization.

Learn how to write run instructions that tell a context agent template exactly which terms to extract from your documentation.