Building trust requires explainability, transparency, and human control over AI’s learning and actions, preventing unapproved behavioral shifts. Compilence Inc. presents a solution: human-written rules (ELIA), a gate (ARC) to control AI’s knowledge and actions, and an external record (Tissue) for auditable facts. This architecture ensures human oversight, consistent behavior, and verifiable changes, answering who approved an AI’s altered behavior. This capability, crucial for care robots and neurotechnology, enables truly trustworthy and governable AI systems.