Multi-agent AI system that autonomously builds Next.js applications from blueprints through orchestrated specialized agents with Discord-based human oversight.
CGE (Crowned Gladiator Enterprises) Automation System is a sophisticated multi-agent pipeline that transforms project blueprints into production-ready Next.js applications through AI orchestration. The system uses specialized agents coordinated via Discord, with human approval gates at critical decision points.
Key Achievement: Reduces 4-8 weeks of development work to ~15-20 minutes of automated execution with 85%+ build success rate.
┌─────────────────────────────────────────────────────────────────┐
│ DISCORD INTERFACE │
│ (Human Control & Approval Layer) │
└───────────────────────────┬─────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ ORCHESTRATOR (Brain) │
│ Discord Bot coordinating all agents & workflow │
└───────────────────────────┬─────────────────────────────────────┘
│
┌───────────────────┼───────────────────┐
↓ ↓ ↓
┌──────────────┐ ┌──────────────┐ ┌──────────────┐
│ PLANNING │ │ PROMPT │ │ BUILDER │
│ AGENT │→ │ GENERATOR │→ │ AGENT │
│ (Python) │ │ (Python) │ │ (Claude │
│ │ │ │ │ Code API) │
└──────────────┘ └──────────────┘ └──────────────┘
↓
┌──────────────────────────┼─────────────┐
↓ ↓ ↓
┌──────────────┐ ┌──────────────┐ ┌───────────┐
│ ENHANCED │ │ POST-BUILD │ │ DISCORD │
│ CHECKER │ │ FIXER │ │ MONITOR │
│ (Python) │ │ (Python) │ │ (Node.js)│
└──────────────┘ └──────────────┘ └───────────┘
Location: cge sdk agents/automation-agents/claude-bridge-agent/
Purpose: Analyzes blueprints and generates optimal phase breakdowns
Features:
- Reads project blueprints in markdown format
- Breaks complex projects into 3-5 logical phases
- Considers dependencies and build order
- Outputs structured PHASES.md
- Uses Claude API for intelligent analysis
Output Example:
# Phase 1: Project Foundation
- Initialize Next.js project with TypeScript
- Set up design system
- Create homepage structure
# Phase 2: Core Features
- Build pricing page
- Implement contact forms
...Purpose: Converts phases into detailed, executable prompts
Features:
- Generates 4-8 specific prompts per phase
- Each prompt is a complete instruction for Claude Code
- Includes file paths, exact specifications, code examples
- Maintains consistency across phases
- References previous work for continuity
Output: PHASE_X_PROMPTS.md files with structured instructions
Location: website/
Purpose: Executes prompts to build the actual application
Features:
- Sequential automation of 16+ detailed prompts
- Calls Claude Code API for each prompt
- Smart completion detection (60-second file stability monitoring)
- Progress persistence (resumes after interruptions)
- Git integration (auto-commits per prompt)
- Watchdog protection (detects stuck processes)
Technology:
- Python-based orchestration
- Anthropic Claude Code SDK
- File-system monitoring
- Subprocess management
Performance:
- Average: 96 seconds per prompt
- Total build time: 15-20 minutes for complete project
- Success rate: 85%+ when properly configured
Purpose: Validates code quality and catches errors
Features:
-
7 Validation Checks:
- File structure validation
- TypeScript compilation (
tsc --noEmit) - ESLint checking
- Dev server startup test
- Browser automation (Playwright)
- Console error detection
- Performance testing (optional Lighthouse)
-
Generates Reports:
- JSON format (machine-readable)
- Markdown format (human-readable)
- Screenshots of runtime issues
- Detailed error traces
Output: phase_X_validation.json, PHASE_X_ERRORS.md
Purpose: Aggregates errors and proposes comprehensive fixes
Features:
- Runs after all phases complete
- Aggregates errors from all validation reports
- Categorizes by type (TypeScript, ESLint, runtime)
- Generates consolidated fix plan
- Executes approved fixes automatically
- Can call Claude Code for complex TypeScript fixes
Output: fixer_analysis.json + Discord approval message
Location: cge sdk agents/cge-discord-bot/
Purpose: Provides human oversight and approval workflow
Features:
-
Slash Commands:
/setup-channels- Creates 14-channel server structure/test-setup- Validates bot configuration/bot-status- Real-time health monitoring
-
Channel Structure:
- 🎯 Command Center (2 channels)
- 🤖 Agent Workspace (7 channels)
- 📊 Monitoring (3 channels)
- 📚 Archives (2 channels)
-
Approval Workflow:
- Posts requests in #approvals channel
- Uses Discord reactions (✅/❌) for approval
- 15-minute timeout per approval
- Prevents accidental execution
Technology:
- Node.js + TypeScript
- Discord.js v14
- PM2 for process management
- Health monitoring with auto-restart
- Phase-Based Execution: Breaks projects into manageable phases
- Dependency Management: Ensures proper build order
- Progress Persistence: Resumes from failures automatically
- Session History: Tracks all execution attempts
- Automated Testing: TypeScript, ESLint, runtime validation
- Error Detection: Catches issues before human review
- Comprehensive Reports: Machine + human readable formats
- Fix Automation: Can auto-fix common issues
- Approval Gates: Human review at critical decision points
- Discord Integration: Collaborative oversight via familiar interface
- Progress Visibility: Real-time build monitoring
- Error Transparency: Full trace of what was attempted
- Fast Execution: 15-20 minutes for complete applications
- Cost Effective: ~$6-9 per project (Claude API costs)
- High Success Rate: 85%+ build success
- Scalable: Can handle multiple concurrent projects
Project: Custom software marketing site
Total Phases: 3
Total Prompts: 18
Build Time: 16 minutes
Success Rate: 100% (18/18 prompts)
Average per Prompt: 53 seconds
Cost: ~$8.50 (Claude API)
| Method | Time | Cost | Quality |
|---|---|---|---|
| Manual Development | 4-8 weeks | $10,000+ | Variable |
| Traditional Automation | N/A | N/A | Poor |
| CGE System | 15-20 min | ~$9 | 85%+ success |
- Python 3.10+ - Agent logic and coordination
- Node.js 18+ - Discord bot and monitoring
- TypeScript 5.3 - Type-safe bot development
- Discord.js 14 - Discord API integration
- Anthropic Claude API - claude-sonnet-4.5 model
- Claude Code SDK - Autonomous code generation
- Prompt Engineering - Structured instruction generation
- TypeScript Compiler - Static type checking
- ESLint - Code quality validation
- Playwright - Browser automation testing
- Lighthouse - Performance auditing (optional)
- Git - Version control with auto-commits
- PM2 - Process management for Discord bot
- SQLite - Project state persistence
- File System - Build monitoring via file changes
cge-automation-system/
├── cge sdk agents/
│ ├── automation-agents/
│ │ ├── claude-bridge-agent/ # Core agent framework
│ │ ├── multi-client-orchestrator/ # Multi-project management
│ │ ├── monthly-value-agent/ # Client value tracking
│ │ └── code-review-agent/ # Code quality agent
│ └── cge-discord-bot/ # Discord orchestration
│ ├── src/
│ │ ├── commands/ # Slash commands
│ │ ├── config/ # Channel structure
│ │ └── utils/ # Channel management
│ ├── launcher.js # Health monitoring
│ └── setup.js # Interactive setup
│
├── website/ # Website Builder Bot
│ ├── ENHANCED_PROMPTS.md # Prompt library
│ ├── build-website.sh # Execution script
│ ├── show_prompt.py # Prompt utilities
│ └── custom-software-site/ # Generated output
│
└── cge-enhanced-website/ # Enhanced build system
└── project/ # Build artifacts
- Python 3.10+
- Node.js 18+
- Anthropic API key
- Discord bot token (optional, for monitoring)
- Claude Code CLI
1. Clone repository:
git clone https://github.com/SamShahinDev/cge-automation-system.git
cd cge-automation-system2. Set up Python environment:
cd "cge sdk agents/automation-agents/claude-bridge-agent"
python3 -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
pip install anthropic3. Configure API key:
cp .env.example .env
# Edit .env and add your ANTHROPIC_API_KEY4. Set up Discord bot (optional):
cd ../../cge-discord-bot
npm install
cp .env.example .env
# Add DISCORD_TOKEN and GUILD_ID
npm start1. Prepare your blueprint:
# MyProject Blueprint
## Phase 1: Homepage
Build a modern homepage with hero section...
## Phase 2: Features
Create feature pages with...2. Run the automation:
cd website
./build-website.sh3. Monitor progress:
- Watch console output
- Check Discord #build-monitor channel (if configured)
- Review generated files in
custom-software-site/
4. Review results:
- Check validation reports:
PHASE_X_ERRORS.md - Review git history:
git log - Test the build:
cd custom-software-site && npm run dev
- Turn ideas into working applications in minutes
- Test concepts before full development investment
- Generate demo-ready code for pitches
- Accelerate project kickoff
- Generate consistent quality baselines
- Reduce time-to-first-demo
- Build custom dashboards rapidly
- Create admin panels automatically
- Generate CRUD interfaces from specs
- Study how Next.js projects are structured
- Learn best practices from generated code
- Experiment with different architectures
Current Implementation:
- API keys in environment variables
- No authentication on Discord bot (for internal use)
- Projects stored in filesystem
- Agents run with user permissions
Production Recommendations:
- Add Discord user authentication
- Encrypt API keys in database
- Implement rate limiting
- Add project access controls
- Enable audit logging
Problem Solved: Process monitoring caused premature completion detection
Solution: Monitor actual file system changes with 60-second stability window
Impact: Improved success rate from ~40% to 85%+
Innovation: Each agent has a single, focused responsibility
Benefits:
- Easier to debug and improve individual agents
- Can swap implementations without affecting others
- Parallel agent development possible
Design: AI automation with human oversight at key decision points
Balance:
- Maintains AI speed advantages
- Preserves human judgment for critical decisions
- Prevents costly mistakes from autonomous execution
Feature: Resume from any interruption point
Implementation:
- JSON-based state storage
- Session history tracking
- Automatic skip of completed work
Impact: Enables multi-hour builds that can survive crashes/interruptions
-
Intelligent Auto-Fixer
- Use Claude Code to fix TypeScript errors automatically
- Semantic understanding of error messages
- Test fixes before applying
-
Multi-Language Support
- Python/FastAPI backends
- React Native mobile apps
- Vue.js frontend
-
Testing Agent
- Generate unit tests automatically
- E2E test creation
- Test coverage reports
-
Deployment Agent
- Auto-deploy to Vercel
- Set up CI/CD pipelines
- Domain configuration
-
Iteration Agent
- Handle change requests
- Update existing projects
- Maintain code history
| Tool | Approach | CGE Automation |
|---|---|---|
| GitHub Copilot | Autocomplete for individual files | ✅ Builds entire applications |
| Cursor AI | IDE with AI assistance | ✅ Autonomous end-to-end pipeline |
| v0.dev | Single component generation | ✅ Full multi-page applications |
| Replit Agent | Single-session builds | ✅ Persistent, resumable, multi-phase |
Unique Advantages:
- Human approval gates (safer than fully autonomous)
- Multi-agent architecture (specialized agents)
- Discord integration (team collaboration)
- Quality validation (automated testing)
- Post-build fixing (comprehensive error handling)
- Input: 50-page blueprint document
- Output: Production marketing site
- Phases: 5 (Homepage, Services, Locations, Contact, About)
- Total Prompts: 47
- Build Time: 42 minutes
- Success Rate: 89% (42/47 prompts succeeded)
- Manual Fixes: 3 hours (vs 2 weeks manual development)
- Total Cost: $18 (API calls)
- Input: Technical specification + mockups
- Output: Admin dashboard with CRUD operations
- Phases: 4
- Total Prompts: 28
- Build Time: 28 minutes
- Success Rate: 93%
- Manual Fixes: 2 hours
- Total Cost: $12
Hussam Shahin
LinkedIn | GitHub
Built for Crowned Gladiator Enterprises LLC | Demonstrating advanced AI orchestration, multi-agent systems, and autonomous software development at scale