What if your AI agent could fix its own hallucinations without being told what's wrong?

Every autonomous AI agent has three problems: it contradicts itself, it can't decide, and it says things confidently that aren't true. Current solutions (guardrails, RLHF, RAG) all require external supervision to work. I built a framework where the agent supervises itself using a single number that measures its own inconsistency. The number has three components: one for knowledge contradictions, one for indecision, and one for dishonesty. The agent minimizes this number through the same gradient descent used to train neural networks, except there's no.