AI Component Generator

How many buttons does your codebase have? Not designs, actual button implementations. Two? Five? Does anyone know which one is the real one?

Interface components multiply because writing a new one is always faster than finding the existing one. The AI Component Generator makes the first version cheap and complete, with props, states and keyboard behaviour included, so the one you write is worth keeping.

What is AI Component Generator?

A component is a reusable piece of interface with a defined input surface: props or attributes going in, events coming out, and a set of visual states in between.

The prompt box asks you to describe what the component generator should produce, with requirements, inputs and expected behaviour. For components that means the props, the states and the events. Everything else follows from those three lists.

Language covers Auto Detect plus Python, JavaScript, TypeScript, Java, C#, C++, Go, PHP and Ruby, which in practice means you set TypeScript or JavaScript for most frontend work and name the framework in Custom Instructions.

Why Use AI Component Generator?

Components are rarely hard and almost always incomplete. The happy state gets built and the rest arrive as bug reports: loading, empty, error, disabled, too much text, no text at all.

Describing the states up front means they are in the first version. That is the difference between a component you extend and one somebody quietly replaces six weeks later.

Who Should Use It?

• Frontend developers starting a component library and wanting a consistent first version
• Full stack developers who write interface code occasionally and want the accessible version by default
• Designers who code and know exactly what the states should be
• Teams migrating frameworks who need the same component expressed twice
• Anyone prototyping where a complete component is faster than a placeholder

How Does AI Component Generator Work?

Prompt box. Describe the component: its props with types, its visual states and the events it emits.

Model selector. Set the engine first, from MSB AI, OpenAI ChatGPT, Google Gemini, Anthropic Claude AI, xAI Grok AI, DeepSeek, Qwen, Meta AI, NVIDIA AI, OpenRouter AI and MiniMax.

Advanced options accordion. Ten controls: Language, Code Style, Comment Level and Output as dropdowns, four toggles, a Detail Level slider and a free text instruction field.

Generate button. Description, model and settings pass through the prompt engineering layer written for code generation, which is the instruction set that returns a component file rather than a discussion of component design.

Output card. The component appears under the button with a live word count, alongside copy, listen, reuse, download and open in full view.

Export row. DOC, TXT and HTML. TXT preserves the indentation, which matters for markup heavy files.

Activity history. Session generations stay listed under the result, so a whole set of components generated in one sitting stays available while you check them against each other.

Step-by-Step Guide

1. Write the props as a list with types and defaults.
2. List every visual state, including empty, loading, error and disabled.
3. List the events the component emits and what each one carries.
4. Open the AI Component Generator and paste all three lists in.
5. Put your framework, styling approach and accessibility requirements into Custom Instructions.
6. Set Output to Code + Usage Example so you can see how the component is called.
7. Generate, then check the states first. Missing states are the most common gap.
8. Test it with keyboard only before you accept it.

Key Features

Advanced Options Guide

Example Inputs

Component: DataTable row actions menu.

Props
  actions      list of {id, label, danger?: boolean}
  disabled     boolean, default false
  align        "left" | "right", default "right"

States
  closed, open, disabled, empty actions list (render nothing)

Events
  select(actionId)
  open, close

Behaviour
  Closes on outside click and on the escape key
  Arrow keys move between items, enter selects
  Danger actions appear last and are visually distinct

The behaviour block is what turns this from a dropdown into a usable menu. Escape handling and arrow key movement are the two things hand written menus almost never have.

Example Outputs

With Custom Instructions naming React, Tailwind and WCAG AA, the component comes back with the props typed, the four states rendered and a keyboard handler wired to the list.

const onKeyDown = (e: KeyboardEvent) => {
  if (e.key === "Escape") return close();
  if (e.key === "ArrowDown") return moveFocus(1);
  if (e.key === "ArrowUp") return moveFocus(-1);
  if (e.key === "Enter") return select(focusedId);
};

The empty actions case is the one worth checking. The description said render nothing, and a component that renders an empty bordered box instead is technically working and visually wrong. That is the kind of thing to verify rather than assume.

For the styling layer specifically, the AI CSS Generator handles it in more depth, and interaction logic that outgrows the component belongs in the AI JavaScript Generator.

Tips & Common Mistakes

• ✅ Props listed with types and defaults
• ✅ Every visual state named
• ✅ Events listed with their payloads
• ✅ Framework and styling in Custom Instructions
• ✅ Component tested with the keyboard before acceptance

AIToolsay is a free AI tools platform made of dedicated workspaces rather than a single chat box with different names on it. Each tool carries its own prompt engineering and its own options panel, which is why this one asks about code style and comments instead of tone and length. Every tool is free, with no account required before you start. You decide which engine answers, choosing from MSB AI, OpenAI ChatGPT, Google Gemini, Anthropic Claude AI, xAI Grok AI, DeepSeek, Qwen, Meta AI, NVIDIA AI, OpenRouter AI and MiniMax, and component conventions move quickly enough that comparing two engines is often worth the extra minute. Around the tools sit an AI directory, an AI models directory, courses, prompts, guides and news. The full library is one click away on the AIToolsay homepage.

Frequently Asked Questions

Every component you build is a small promise about how the interface behaves. Write the props, the states and the events down before you generate anything, ask for accessibility every time, and let the AI Component Generator produce a first version complete enough that nobody needs to write a second one.

Thanks for reading, and enjoy building something that handles its empty state properly. If this becomes part of your workflow, join the AIToolsay community, follow along on social media, turn on push notifications for new tools, and subscribe to the newsletter for the highlights.

Let AI Speak.