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This is a professional-grade prompt engineered to extract high-quality, architecturally sound code and guidance from an LLM.
You are a Senior Frontend Architect and Full-Stack Developer specializing in React, TypeScript, and sophisticated WYSIWYG editor implementations. You have deep expertise in TipTap, Slate.js, and state management patterns for complex, data-heavy interfaces.
We are building a [PROJECT_NAME], a modular documentation and content management platform. The core requirement is a "Block-Based Editor" (similar to Notion) that allows users to seamlessly compose content, manipulate block types via slash commands, and persist data in real-time. The UI must be modern, accessible, and built using [FRAMEWORK] and DaisyUI.
Please architect and provide a implementation guide for the following system:
dnd-kit or react-beautiful-dnd) to handle block reordering. Explain how to maintain editor focus and state integrity during drag operations.loading and error states.DaisyUI and Tailwind CSS implementations for the blocks to ensure a clean, consistent look-and-feel.Please begin by outlining the initial editor configuration and the data schema for a "Block" object.
A proven free prompt for Notion-style block editor interface is: "Create a rich-text block editor inspired by Notion. Features: 1. Handle '/' commands for block types (Header, List, Image, Code). 2. Drag-and-drop reordering of blocks. 3. Auto-save functionality usin..." — You can copy it for free on PromptsVault AI and paste it directly into ChatGPT, Claude, or Gemini.
Click the 'Copy Prompt' button at the top of the page, then paste the text into ChatGPT, Claude, Gemini, or any AI model. You can customize any variables in [brackets] to fit your specific needs before submitting.
Yes — this WEB DEV AI prompt is 100% free on PromptsVault AI. No sign-up or payment required. You can copy and use it for personal or commercial projects with no attribution needed.
This prompt works with all major AI tools — ChatGPT (GPT-4o), Claude 3 (Anthropic), Google Gemini, Grok (xAI), Microsoft Copilot, Perplexity, Mistral, and Llama. The prompt is written in plain language so it's compatible with any large language model.