Egregor: Локальный консилиум ИИ для комплексного аудита смарт-контрактов и кода

Egregor, a local AI consortium, uses multiple AI models to find critical vulnerabilities in smart contracts and code. This tool is designed for Web3 developers to check complex code without missing errors that single neural networks might overlook. Egregor's consortium found 4 critical issues in SovereignBank Web3 contracts, while 13 individual AI models said the code was clean. Use Egregor for a deep code audit to get verified solutions instead of relying on a single model's guesses. Egregor's system eliminates echo chamber and blind spot effects in neural networks through Anti-Groupthink and 'Devil's Advocate' mechanisms, providing a final verdict with a confidence score from 1 to 5. Egregor significantly reduces the cost of professional code audits to a few cents, making it suitable for indie developers and hackathon participants.