Architectural Patterns for Zero-Screen-Time AI Field Agents

When building autonomous AI agents for physical, offline-first environments, standard conversational LLM outputs fall short. Unstructured text responses create unnecessary cognitive load for users in the field, leading to increased screen time and potential safety risks in hazard-prone areas. To solve this, field agents must operate under a deterministic contract architecture: raw ambient data…