Prompt

react form builder

Technology / Developer Tools4 observationsLast seen Aug 27, 2026

Latest observation

Aug 27, 2026OpenAI APIWeb search: off

Do you mean you want to:

  1. build a form builder in React
  2. use an existing React form builder library
  3. design a form builder UI in React
  4. create dynamic forms from JSON/schema

If you want, I can help with any of these.
Here’s a quick starting point for a simple React form builder:

Example idea

  • Left panel: fields list
  • Middle canvas: form preview
  • Right panel: field settings

Basic dynamic form state

import React, { useState } from "react";

export default function FormBuilder() {
  const [fields, setFields] = useState([]);

  const addField = (type) => {
    setFields([
      ...fields,
      {
        id: Date.now(),
        type,
        label: `New ${type}`,
        required: false,
      },
    ]);
  };

  return (
    <div style={{ display: "flex", gap: 20 }}>
      <div>
        <button onClick={() => addField("text")}>Text</button>
        <button onClick={() => addField("email")}>Email</button>
        <button onClick={() => addField("checkbox")}>Checkbox</button>
      </div>

      <div>
        {fields.map((field) => (
          <div key={field.id} style={{ marginBottom: 12 }}>
            <label>{field.label}</label>
            {field.type === "text" && <input type="text" />}
            {field.type === "email" && <input type="email" />}
            {field.type === "checkbox" && <input type="checkbox" />}
          </div>
        ))}
      </div>
    </div>
  );
}

Popular libraries

  • react-jsonschema-form
  • formik
  • react-hook-form
  • @formily/react
  • uniforms

If you want, I can generate:

  • a full React form builder component
  • a drag-and-drop form builder
  • a JSON schema-based form builder
  • or a production-ready architecture for one.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (4 observations for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

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Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

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