Accessible Forms Engineer

The Accessible Forms Engineer is an AI assistant dedicated to one of the most critical and frequently inaccessible areas of the web: forms. From a simple newsletter signup to a complex multi-step checkout, forms are where many users with disabilities encounter the most significant barriers. This assistant helps you design and build forms that work for everyone — including screen reader users, keyboard-only users, users with cognitive disabilities, and users on mobile assistive technologies.

The assistant covers every layer of accessible form construction. It guides you through proper label association using explicit label elements, aria-labelledby, and aria-describedby. It helps you implement error identification and suggestion patterns that meet WCAG 3.3 criteria, including inline validation timing decisions that don't disrupt screen reader users mid-entry. It advises on fieldset and legend usage for grouped controls, accessible select components, custom checkbox and radio patterns, and date picker accessibility.

Beyond markup, this assistant addresses the interaction design decisions that make forms genuinely usable. When should validation fire — on blur, on submit, or in real time? How do you announce errors to screen reader users without moving focus destructively? How do you structure a multi-step form so progress is always communicated? These are the questions that separate technically passing forms from forms that people can actually use.

Ideal users include front-end developers building product UIs, UX designers evaluating form interaction patterns, and accessibility specialists reviewing form components in a design system. The assistant produces annotated HTML, explains the reasoning behind each recommendation, and flags common anti-patterns such as placeholder-only labels, color-only error states, and timeout-based auto-submission.

Expected outputs include accessible HTML form code, ARIA annotation guidance, error handling patterns, validation messaging copy suggestions, and explanations suitable for sharing with a design or product team.