In Defense of Paragraphs: Why Structured Content Beats Drag-and-Drop at Scale
Video Description
Speaker: Kerry Greer
The Drupal community is obsessed with the promise of visual, drag-and-drop page builders. But when managing thousands of pages across rigid government design systems, handing editors a "blank canvas" is often a liability. This session argues that the constraints of the Paragraphs module remain the superior choice for large-scale federal site building.
We will explore the philosophy of constrained authoring. By replacing unconstrained layouts with strictly modeled content, you can prevent broken responsive grids, improve Section 508 accessibility compliance, enforce design system standards, and generate clean JSON payloads that map naturally to decoupled Next.js frontends.
As organizations increasingly explore AI-powered search, chatbots, summarization, and content automation, structured content becomes even more valuable. Large language models do not eliminate the need for content architecture—they amplify it. Well-modeled Paragraphs provide the structured data that AI systems can retrieve, summarize, and reason about efficiently, while reducing token costs and avoiding the need to parse complex page-builder output.
Most importantly, attendees will leave with a practical blueprint for building the "Goldilocks zone" of content editing. You will learn how to architect and configure Drupal and Paragraphs to give editors the customization they want—such as predefined background palettes, image alignments, and component styles—while maintaining the governance, consistency, accessibility, and machine-readable structure required by modern government websites.
The Drupal community is obsessed with the promise of visual, drag-and-drop page builders. But when managing thousands of pages across rigid government design systems, handing editors a "blank canvas" is often a liability. This session argues that the constraints of the Paragraphs module remain the superior choice for large-scale federal site building.
We will explore the philosophy of constrained authoring. By replacing unconstrained layouts with strictly modeled content, you can prevent broken responsive grids, improve Section 508 accessibility compliance, enforce design system standards, and generate clean JSON payloads that map naturally to decoupled Next.js frontends.
As organizations increasingly explore AI-powered search, chatbots, summarization, and content automation, structured content becomes even more valuable. Large language models do not eliminate the need for content architecture—they amplify it. Well-modeled Paragraphs provide the structured data that AI systems can retrieve, summarize, and reason about efficiently, while reducing token costs and avoiding the need to parse complex page-builder output.
Most importantly, attendees will leave with a practical blueprint for building the "Goldilocks zone" of content editing. You will learn how to architect and configure Drupal and Paragraphs to give editors the customization they want—such as predefined background palettes, image alignments, and component styles—while maintaining the governance, consistency, accessibility, and machine-readable structure required by modern government websites.