AINL is a compact DSL and compiler system that transforms AI from conversational assistants into structured workers with deterministic execution. It enables teams to build AI workflows requiring multiple steps, persistent state, tool calls, validation, and lower dependence on long prompt loops. The system integrates with the Model Context Protocol (MCP) and targets multi-agent orchestration scenarios.