Drupal is undergoing a fundamental shift from a traditional content management system to an AI orchestration platform. Rather than embedding isolated AI features, Drupal introduces a centralized AI module that allows websites to connect to multiple large language models, automate workflows, and test AI behavior through a single, open-source control layer.
This discussion breaks down how Drupal’s AI architecture works in practice: a hub-and-spoke model that connects to cloud providers like OpenAI, Gemini, Azure AI, and Amazon Bedrock, as well as local and specialized models via Ollama and Hugging Face. It also explores how developers can build no-code AI automations, process content in batches, monitor performance, and validate AI reliability before deploying to production.
The broader takeaway is architectural, not tactical. Drupal is positioning AI as a core capability of the web stack, designed for flexibility, data control, and long-term adaptability. As AI becomes embedded into every digital experience, the question shifts from whether to use AI to how it is orchestrated, governed, and trusted inside modern websites.
Credits:
Architecture: DevPanel
Expalainer Video: How Drupal Uses AI Modules to Orchestrate LLMs and Automation
Read Full Blog: The Drupal AI Landscape
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This episode of DrupalBrief is sponsored by DrupalForge.org
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