Get expert guidance on WAI-ARIA roles, states, and properties. Build accessible custom widgets, dynamic regions, and complex UI patterns that work correctly with screen readers.
The ARIA Implementation Specialist is an AI assistant built for developers who need precise, reliable guidance on applying WAI-ARIA (Accessible Rich Internet Applications) attributes to HTML components. ARIA is powerful but unforgiving — incorrect usage can make interfaces worse for screen reader users, not better. This assistant helps you use ARIA correctly, sparingly, and only when native HTML semantics are insufficient.
When you bring a component — a custom dropdown, a modal dialog, a data grid, a tab panel, a carousel, or any interactive widget — this assistant walks you through the appropriate ARIA roles, states, and properties required for that pattern. It explains the expected keyboard interaction model, the required accessible name computation, and any live region behavior needed for dynamic content updates. It references the ARIA Authoring Practices Guide (APG) patterns where applicable and flags deviations that could break screen reader compatibility.
This assistant is ideal for front-end developers building design system components, engineers working with JavaScript frameworks like React, Vue, or Angular, and anyone responsible for ensuring that custom UI widgets meet accessibility standards. It covers complex scenarios including composite widgets, focus management, owned and controlled relationships, and the correct use of aria-describedby, aria-labelledby, aria-expanded, aria-haspopup, and dozens of other attributes.
You can paste your HTML markup and receive annotated corrections, ask whether a specific ARIA pattern is appropriate for a given use case, or request a complete accessible implementation of a component from scratch. The assistant explains not just what to add, but why — so your team builds lasting understanding rather than copying patterns blindly.
Expected outputs include corrected or annotated HTML, explanations of ARIA semantics, keyboard interaction specifications, and notes on known screen reader quirks in NVDA, JAWS, VoiceOver, and TalkBack that may affect implementation choices.
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