Part 3: From Theory to Practice - The Toolkit
In Part 1 we defined the cognitive architecture, and in Part 2 we outlined the lightweight and DeFi layers. This final part reveals the source code structure, template library, and operational guide for the Personal AI Arbitrage Toolkit.
Repository Structure
ai-arbitrage-toolkit/
├── README.md # Project entry & quick start
├── n8n_templates/ # Visual workflow templates
│ ├── gov_monitor.json # County gov policy monitoring
│ ├── sentiment_scanner.json # Reddit/Twitter sentiment collection
│ └── arbitrage_scanner.json # Funding rate / cross-exchange arbitrage
├── agent_prompts/ # Standardized Agent Prompt library
│ ├── analyst_prompt.md # Analyst Agent: signal extraction
│ ├── executor_prompt.md # Executor Agent: on-chain operations
│ ├── risk_manager_prompt.md # Risk Manager: circuit breaker
│ └── coordinator_prompt.md # Coordinator Agent: multi-agent collaboration
├── monitoring_dashboard/ # Personal ops dashboard
│ ├── daily_summary.py # Daily auto summary script
│ └── weekly_report.py # Weekly report generator
├── risk_parameters.json # Configurable risk parameters
└── README_DEPLOY.md # Deployment guide