The thesis
Most “autonomous AI workers” are LLM + tool loops with better packaging. Execution automation is not intelligence. Production systems need domain models, deterministic cores, validation, audit logs, and humans in the loop.
What breaks at scale
Agents without structure spam APIs, corrupt state, and fail silently. Regulated and revenue-critical environments cannot tolerate that.
What we build instead
Mechanism-aware systems: LLMs at the perception layer, business logic in deterministic code, approval gates on publish and high-risk actions — the same standard we apply to our own content agents.