Definition
A way of treating an AI agent's task like source code and compiling it into an optimized plan before running anything.
A just-in-time compilation framework for computer-use agents that statically verifies state-flow contracts on cached tool plans, ranks candidate programs by a cost model, and selects a Monte-Carlo-simulated execution strategy at runtime.
Also called: Agent JIT, JIT planner