What AI-Assisted Form Generation Could Bring to Mobyform

Designing a form from scratch takes longer than most people expect. You need to decide on the right fields, arrange them in a logical order, write clear labels, and set proper validation rules. Multiply that by every form your organization needs and the hours add up fast. AI-assisted form generation is one of the roadmap areas Mobyform is continuing to explore.

Describe What You Need in Plain Language

A future AI-assisted creation flow would start with a simple prompt. Instead of dragging individual fields onto a canvas one by one, you would type a description of what your form should accomplish. For example:

• "Create a customer satisfaction survey with rating scales for product quality, delivery speed, and support experience, plus an open-ended feedback section."
• "Build an employee onboarding form that collects personal details, emergency contacts, tax information, and equipment preferences."
• "Design a workshop registration form with name, email, session selection, and dietary requirements."

The goal is for AI to interpret your intent, select appropriate field types, and generate a useful draft form structure for human review.

Smart Field Selection

One of the most time-consuming parts of form creation is choosing the right field type for each question. Should that be a dropdown or a radio group? Does the date field need a time component? Should the phone number include country code validation?

The planned workflow would help with these decisions by mapping common pieces of information to suitable components from Mobyform's field library. Ratings could become star or slider scales. Multi-option questions could become checkboxes or dropdowns depending on the expected number of choices. Contact information could get appropriate input masks and validation rules applied earlier in the draft.

Intelligent Structure and Ordering

Beyond individual fields, AI assistance could consider the overall flow of the form. It could group related questions into logical sections, place easy introductory questions first, and save more detailed or sensitive questions for later.

If the form is long enough to benefit from multiple pages, AI could suggest page breaks that keep each screen focused and manageable.

AI-Assisted Content Drafting

Field structure is only part of the story. AI assistance could also draft clear labels, helpful placeholder text, and descriptive section headers. If you are creating a form in a language you are less confident in, this kind of drafting support can be especially valuable.

The roadmap also includes ways to rewrite or refine individual questions after a draft is created, while preserving the original intent.

Review and Refine in the Visual Editor

AI generation should never lock you into a fixed result. Any generated draft should open in the standard drag-and-drop editor, where you have full control to rearrange fields, add new ones, change field types, adjust validation, or modify the text.

The target experience is a fast first draft that reduces blank-canvas work while still leaving final responsibility with the person publishing the form.

When AI Generation May Help

AI form generation is expected to work best when you have a clear idea of what data you need to collect but do not want to spend time on the mechanics of building the form. It may be useful for:

• Rapid prototyping when you need a working form quickly.
• Creating forms in domains you are less familiar with.
• Standardizing form quality across a team.
• Reducing repetitive work when you build similar forms frequently.

Current Availability

AI form generation is not currently available as a shipped self-serve feature. For production work today, start with a blank form, a template, or a question bank, then refine the result in the visual editor.