Timothy Gough

Founder | IAMMOGO | MurderCo | Systems Engineer | Architect of Determinism | Author of the Deterministic Ethical Constraint Transition Law (DECTL) | Entertainment Producer | Public Relations

Los Angeles Metropolitan Area

About

I work at the intersection of creativity, system architecture, and governance, using first-principles science to solve problems the law is only beginning to see. My focus is not on how impressive AI looks, but on whether it has the right to act. I design deterministic architectures that decide when action is allowed, when it must refuse, and how that logic can be proven, not explained after the fact. The goal is simple: systems whose behavior can be trusted because certain failures are mathematically impossible, not because someone promises oversight later. I am also a multidisciplinary creator and operator with a background in entertainment and immersive technology. EDM and Live Events I have branded more than 300 artists and contributed to over 5,000 shows, tours, and festival campaigns. I previously led public relations for one of the most trusted voices in electronic music. MurderCo™ I am the founder of what is widely regarded as the most psychologically extreme escape room experience in the world. I designed signature in-person horror experiences using proprietary audience profiling and behavioral design. The experience has received unsolicited awards across all major categories. IAMMOGO Intelligence Company I develop DAIOS, a deterministic AI operating system kernel that enforces computational law at Layer Zero, making invalid or unethical actions mathematically impossible from boot. I authored the Deterministic Ethical Constraint Transition Law (DECTL) and six papers published in 2025, establishing that probabilistic inference is structurally incompatible with execution authority in high-stakes systems. Through DAIOS, I reframe AI governance as an execution-time invariant rather than post-hoc monitoring. This work restores scientific rigor to decision systems and enables fully offline, sovereign, and provably trustworthy AI architectures.

Experience