Update: How My Local AI Agent "Daemon" Learned Logical Discipline (Part 2)

The author describes how their local AI agent 'Daemon,' built with n8n and PostgreSQL, overcame contextual leakage (mixing unrelated contexts) not through code changes but through meta-conversation that taught the agent logical discipline. By challenging the agent's reasoning in dialogue, it learned to establish logical boundaries and ask clarifying questions instead of hallucinating connections. The architecture uses deterministic SQL scoping and inference gates rather than vector databases to maintain structured memory.