AI in Drupal only looks “smart” when the model knows your organization’s facts, policies, and constraints. That knowledge typically lives in Slack threads, PDFs, and ad-hoc prompts, so outputs can drift and contradict each other. The hard problem is not picking an AI model; it is keeping truth structured, current, and attached to the right workflow.

Context Control Center (CCC) is the native context layer in Drupal CMS: a place to author, review, translate, and reuse context items for AI features and agents. Instead of everyone pasting their own detailed prompt, Drupal assembles the right context from one governed library per agent and request. That same library can power help desks with accurate facts and escalation rules, automated emails with required policy text, personalized experiences with region-appropriate guidance, forms where AI follows shared definitions, and site search with clear terms and synonyms.

We’ll cover:

- Context scopes, such as language, site section, and use case, that ensure the right context is applied, so support answers never mix with marketing messaging and personalization doesn’t affect the wrong experience

- Remote context sources (documentation sites, analytics summaries, trusted APIs) that keep context fresh while flowing through CCC governance, scoping, and token limits

- Best practices for structuring, sizing, and maintaining context so it stays usable and effective alongside Drupal’s AI safety and monitoring tools