Plainify: AI-Ready Product Specifications
A product specification tool built to generate AI-ready spec files, transforming fragmented product ideas into structured, machine-readable documentation.
Plainify, 2026
Plainify is a product specification tool built to generate AI-ready spec files. I built it to transform fragmented product ideas into structured, machine-readable documentation, ensuring AI agents have the perfect context to build complete, production-ready applications.
The Problem & The Spark
The idea for Plainify emerged from a real-world necessity. During a "Vibe Coding" workshop I conducted with my design team, we faced a recurring bottleneck: every time we wanted to build a feature with an LLM, we had to manually craft detailed Markdown specification files. This repetitive process was draining our creative momentum. We needed a way to generate these "AI-ready" docs on the fly, without sacrificing depth or technical detail.
As AI coding assistants become increasingly integral to the development workflow, communicating requirements effectively has become a new challenge. Vague or unstructured briefs often lead to suboptimal AI outputs, wasting time and effort. Traditional product requirements documents weren't designed for AI consumption.
The Solution & Methodology
I developed Plainify to automate the creation of the PLAIN (Product Language for AI Notation) format. This project served as a milestone in my Vibe Coding journey, moving beyond simple UI tweaks into complex system architecture.
Tech Deep-Dive
The application integrates LLM connectivity and handles Edge Functions for real-time processing to ensure seamless specification generation. The 14-section framework covers all aspects of product specifications, with real-time markdown preview and direct compatibility with major AI assistants like Claude and GPT.
AI-Native Design Process
One of the most significant aspects of this project was the design workflow. I challenged the traditional "Figma-to-Code" handoff by designing the entire UI "on the fly" through intuitive collaboration with AI assistants. I call this approach "Design in Code." I only utilized Figma for branding essentials (logo, favicon, OG images); every other interface element, layout, and interaction was architected within the terminal using Claude Code CLI.
Real-World Validation
While the concept was proven during the Vibe Coding workshop, the final product is the result of iterative development, focused on creating a robust framework for high-quality AI output. It didn't just save time, it changed how we thought about product definition in the age of AI.
Key Features
- 14-Section Framework: A comprehensive structure covering all aspects of product specifications
- Real-Time Preview: See your markdown output as you build your specification
- AI-Ready Export: Direct compatibility with major AI assistants like Claude and GPT
- Free & Open Source: Available on GitHub for the community to use and contribute
Documentation & Support
Plainify comes with comprehensive documentation covering everything from project overview to technical implementation details. The docs include guidance on design language, typography, color palette, icons, and functional requirements, making it easy for contributors to understand and extend the project.