PRDKit

What is PRDKit?

PRDKit is an AI-powered tool designed to transform half-baked feature ideas into crisp, structured product specifications in minutes. It automates the generation of wireframes, prototyping instructions (for Bolt, Loveable, v0, Cursor), and social-ready snippets, providing product managers and builders with a clear, aligned path forward. It understands your product and design system to generate comprehensive product requirements, visual user flows, and launch-ready content. PRDKit also helps gather context by analyzing homepage URLs and product screens, building a knowledge hub with personas, user journeys, and business objectives. It ensures data safety by not using user data to train public AI models.

How to use PRDKit?

To use PRDKit, product managers can chat with the AI, attach files, or send their ideas. For existing products, users can paste their homepage URL or upload product screens for automated context gathering and analysis. The AI then generates structured PRDs and complementary content like wireframes, user flows, and social posts. Users can export their PRDs to LLM-optimized formats for live prototyping or share them with their team via links or by pasting into Notion, Confluence, or other workspaces.

PRDKit’s Core Features

AI-powered Product Requirements Document (PRD) generation Visual user flow creation Launch-ready content generation (social posts, press releases, demo scripts) Wireframe auto-spinning Export to prototyping tools (Bolt, Loveable, v0, Cursor) Automated context gathering from URLs and product screens Product Screen Analysis Knowledge Hub creation (personas, user journeys, business objectives) Public and private shareable links

PRDKit’s Use Cases

• Turning half-baked feature ideas into structured product specs
• Generating a new feature for an app
• Creating a landing page for a product
• Developing a new data dashboard
• Specifying features for a bike servicing app
• Designing a recipe app
• Building an e-commerce storefront
• Planning an event RSVP and reminders system
• Iterating on enterprise-scale products by gathering existing context