Transform dense AI/LLM outputs into beautiful, audience-tailored web pages that can be shared across your development team.
AI responses in terminals/chat interfaces are difficult to digest. There is no persistent storage for valuable AI-generated content, and team members can't easily share or reference AI outputs. Creating styled HTML outputs is manual and disconnected from workflow.
insAIght Hub is a web application that transforms dense AI/LLM outputs into beautiful, audience-tailored web pages that can be shared across a development team.
Insight: A collection of one or more HTML files representing a single piece of content (documentation, summary, report, etc.)
InsightFile: An individual HTML file within an Insight
Audience: The target reader type (developer, stakeholder, end_user) that influences how content is presented
| Component | Technology | Version |
|---|---|---|
| Language | Ruby | 3.4.5 |
| Framework | Ruby on Rails | 8.1.1 |
| Database | SQLite + Litestack | Latest |
| CSS Framework | Tailwind CSS + DaisyUI | Latest |
| JavaScript | Hotwire (Turbo + Stimulus) | Rails 8 default |
Create, edit, and organize insights with multi-file support and audience targeting.
Powerful search with audience filters, tags, and full-text search capabilities.
Share insights with your team via publish/unpublish workflow.
Full API for programmatic access with token-based authentication.
Model Context Protocol support for AI assistants like Claude and Cursor.
DaisyUI theme switcher with persistent user preferences.
Create insights programmatically with our REST API:
// POST /api/v1/insights { "insight": { "title": "Sprint Summary", "description": "Key outcomes from sprint 42", "audience": "stakeholder", "tags": ["sprint", "summary"], "content": "<!DOCTYPE html>..." } }
Rails app setup, authentication, insight CRUD, file management
Model Context Protocol server for AI assistant integration
Cursor slash commands and IDE plugin development
Comments, version history, team workspaces, favorites