Understanding AI project — trust model from O9X (7 Oct 2026). Kiran does not trust an AI model directly; he builds layered verification around it. Workflow: define work; write tests before coding so tests encode intended behavior rather than conforming to generated code; use separate stateless agents/skills for independent review loops; use Playwright for UI verification; manually verify claimed outcomes and logic; then let staff expose production edge cases. Verification depth changes with legal/financial consequence. Even if first-pass accuracy reached ~99%, he would keep tests and verification because he wants a deterministic system around a probabilistic component and because he cannot inspect code deeply. His broader principle is system-first accountability: do not blame the person/AI for failure; blame and improve the system that allowed the failure.