Exploring an AI control architecture that governs LLM and agent behavior — looking for expert feedback
Summary The user proposes a cognitive governance layer for AI systems that enforces deterministic control over LLMs and agents (like CrewAI/AutoGen). This layer prevents autonomous actions, mandates reasoning checks, and ensures traceability. While the concept addresses real concerns around AI safety and alignment, the approach presents significant architectural and practical challenges. The core tension is … Read more