A client's site looks perfect. Clean layout. Fast load. Beautiful hero section. But a blind user opens it with a screen reader and hits a wall. Images with no alt text. A form with no labels. A color scheme that fails contrast checks. The site is invisible to them. Not broken. Invisible. The World Health Organization estimates about 16% of the world's population lives with some form of disability affecting how they use digital technology. That is over one billion people. And the most common barriers they face are not exotic edge cases. Missing alt text. Poor color contrast. Keyboard traps. Unstructured headings. These are routine failures on routine WordPress sites. While Lecture 8 focused on troubleshooting, here we emphasize the importance of accessibility. What happens when the agent is not fixing a crash but ensuring inclusivity? AI systems can inadvertently hinder accessibility by generating non-semantic markup, omitting labels, or introducing components that are not keyboard or screen reader friendly. The agent that edits your site without structural awareness is not just a risk to layout. It is a risk to users who depend on assistive technology. WCAG, the W3C Web Content Accessibility Guidelines, is the standard ensuring web accessibility. It follows the POUR framework: perceivable, operable, understandable, and robust. Now, this is not just a best-practice checklist. Several jurisdictions, including the European Union and the United States, reference WCAG in regulations requiring websites to be accessible. That means accessibility failures carry legal exposure, not just ethical weight. Respira empowers AI agents with structural access, ensuring compliance with WCAG standards. Its Gutenberg MCP support is block-aware, allowing inspection of block types and attributes. That means it can flag a block with a missing alt text field, a heading that skips a level, or a button with no accessible label. Respira models internal structures for builders like Elementor, Divi, and Bricks, enabling agents to work on components. It's akin to a building inspector reading blueprints. Developers can also combine Respira with automated testing tools like axe-core or WAVE to catch issues that AI-generated changes might introduce. Here is where honesty matters, Mihai. Automated accessibility tools can detect a subset of WCAG issues. Research suggests that figure is often less than half. AI can generate image descriptions, detect contrast failures, and flag missing labels. But studies show human review is still needed to ensure accuracy and context. For example, research on AI-generated alt text found that modern captioning models produce descriptions that are often useful but sometimes inaccurate or biased. The agent is a powerful first pass. It is not the final word. The takeaway for you, Mihai, is precise. WCAG requires a color contrast ratio of at least 4.5 to 1 for normal text. Screen reader users rely on heading structure and landmarks to navigate. Missing or poor-quality alt text significantly reduces comprehension for blind users. These are not abstract standards. They are specific, checkable properties within page structure and builder components. [emphasis] Respira gives an AI agent the structural context to audit and repair those properties systematically, across builders, across sites, without flattening the layout in the process. The agent becomes an accessibility guardian. Not a replacement for expert review, but a tireless first auditor that catches what manual spot-checks miss.