AI Labs Builder
Unified system for creating modern websites, AI applications, dashboards, and workflows.
Quick Start
# Create a website
ailabs create website my-portfolio --type portfolio
# Create an AI app
ailabs create ai-app my-chatbot --type chat
# Create a dashboard
ailabs create dashboard my-analytics --type analytics
# Create a workflow
ailabs create workflow my-automation --template automation
# Deploy
ailabs deploy my-project --platform vercel
Commands
Website Creation
ailabs create website <name> [options]
Options:
--type <type> portfolio | saas | blog | ecommerce
--style <style> modern | glassmorphism | brutalism | minimal
--components Include shadcn/ui components
--animations Include Framer Motion animations
--seo Include SEO optimization
AI Application
ailabs create ai-app <name> [options]
Options:
--type <type> chat | agent | rag | multimodal
--provider openai | claude | gemini | local
--streaming Enable streaming responses
--memory Enable conversation memory
--tools Enable tool calling
Dashboard
ailabs create dashboard <name> [options]
Options:
--type <type> analytics | admin | personal | monitoring
--widgets Include widget system
--realtime Enable real-time updates
--charts Include chart components
Workflow
ailabs create workflow <name> [options]
Options:
--template automation | integration | pipeline
--mcp Include MCP server setup
--schedule Add cron scheduling
--webhook Add webhook triggers
Project Types
1. Websites
Portfolio
- Hero section with animations
- Projects showcase
- Skills/Experience timeline
- Contact form
- Blog integration
SaaS Landing
- Feature highlights
- Pricing tables
- Testimonials
- CTA sections
- FAQ accordion
Blog
- MDX support
- Tag/categories
- Search functionality
- RSS feed
- Newsletter signup
2. AI Applications
Chat Interface
- Message history
- Streaming responses
- Code syntax highlighting
- File attachments
- Voice input/output
AI Agent
- Autonomous task execution
- Tool calling
- Memory management
- Multi-step reasoning
- Human-in-the-loop
RAG System
- Document ingestion
- Vector database
- Semantic search
- Source citations
- Context management
3. Dashboards
Analytics
- KPI cards
- Charts (line, bar, pie)
- Date range picker
- Export functionality
- Real-time updates
Admin Panel
- User management
- Role-based access
- CRUD operations
- Audit logs
- Settings panel
Personal Dashboard
- Weather widget
- Calendar integration
- Task management
- Notes/quick capture
- Bookmarks
4. Workflows
Automation
- Scheduled tasks
- Email notifications
- Data processing
- Report generation
Integration
- API connections
- Webhook handling
- Data sync
- Event triggers
Pipeline
- CI/CD automation
- Testing workflows
- Deployment pipelines
- Quality checks
Design System
Colors
/* Modern */
--primary: #6366f1;
--secondary: #8b5cf6;
--accent: #ec4899;
/* Glassmorphism */
--glass-bg: rgba(255, 255, 255, 0.05);
--glass-border: rgba(255, 255, 255, 0.1);
--glass-blur: blur(20px);
/* Brutalism */
--brutal-black: #000;
--brutal-white: #fff;
--brutal-accent: #ff00ff;
Typography
- Headings: Inter, Geist, or JetBrains Mono
- Body: Inter or system-ui
- Code: JetBrains Mono or Fira Code
Components
All projects include:
- Button variants (primary, secondary, ghost, outline)
- Cards (default, hover, glass)
- Forms (input, textarea, select, checkbox, radio)
- Navigation (header, sidebar, breadcrumbs)
- Feedback (toast, alert, modal, tooltip)
- Data (table, pagination, tabs)
AI Integration
OpenAI
import { OpenAI } from 'openai';
const openai = new OpenAI({
apiKey: process.env.OPENAI_API_KEY,
});
// Streaming chat
const stream = await openai.chat.completions.create({
model: 'gpt-4',
messages: [{ role: 'user', content: prompt }],
stream: true,
});
Claude
import Anthropic from '@anthropic-ai/sdk';
const anthropic = new Anthropic({
apiKey: process.env.ANTHROPIC_API_KEY,
});
const message = await anthropic.messages.create({
model: 'claude-3-opus-20240229',
max_tokens: 1024,
messages: [{ role: 'user', content: prompt }],
});
Vector Database (Pinecone/Memory)
import { Pinecone } from '@pinecone-database/pinecone';
const pc = new Pinecone({
apiKey: process.env.PINECONE_API_KEY,
});
// Store embeddings
await index.upsert([{
id: '1',
values: embedding,
metadata: { text: content }
}]);
Deployment
Vercel (Recommended)
ailabs deploy my-project --platform vercel
Features:
- Automatic Git integration
- Preview deployments
- Edge functions
- Analytics
Netlify
ailabs deploy my-project --platform netlify
Features:
- Git-based deployment
- Branch previews
- Form handling
- Edge functions
GitHub Pages
ailabs deploy my-project --platform github
Features:
- Free hosting
- Custom domains
- Jekyll support
- Actions integration
Best Practices
Performance
- Use Next.js Image component
- Implement lazy loading
- Optimize fonts with next/font
- Use React Server Components
SEO
- Meta tags with next/head
- Sitemap generation
- robots.txt
- Structured data
Security
- Environment variables
- Input validation
- CSRF protection
- Content Security Policy
Accessibility
- ARIA labels
- Keyboard navigation
- Color contrast
- Screen reader support
Examples
Create a Portfolio
ailabs create website portfolio \
--type portfolio \
--style glassmorphism \
--components \
--animations \
--seo
Create an AI Chatbot
ailabs create ai-app chatbot \
--type chat \
--provider openai \
--streaming \
--memory
Create an Analytics Dashboard
ailabs create dashboard analytics \
--type analytics \
--widgets \
--realtime \
--charts
Create an Automation Workflow
ailabs create workflow daily-report \
--template automation \
--mcp \
--schedule "0 9 * * *"
Integration with Other Skills
- mcp-workflow: For advanced workflow automation
- gcc-context: For version controlling project context
- agent-reflect: For continuous improvement