AI Agent Evaluation End to End: How the LFORLA Drone Build Benchmark Scores Planning, Sourcing, and Assembly
AI Agent Evaluation End to End: How the LFORLA Drone Build Benchmark Scores Planning, Sourcing, and Assembly TL;DR: The LFORLA Drone Build benchmark measures AI agent evaluation end to end. A model must plan a drone mission, source parts into a bill of materials under budget and physics constraints, and ship OpenSCAD frame source. A deterministic flight-physics oracle scores every step against…
The LFORLA Drone Build benchmark provides a comprehensive evaluation of AI agents across planning, sourcing, assembly, and physics-validated frame design. The model must first plan a drone mission, source components under budget and physics constraints, assemble a coherent build plan, and finally ship OpenSCAD frame source through a deterministic flight-physics oracle.
The benchmark ensures a fair, reproducible, and task-specific assessment of AI agents' ability to carry out complex builds. Current leaderboard rankings show Nemotron 3 Ultra at 34.166666666666664, DeepSeek V4 Pro at 34, and our GLM 5.2 at 78.0 overall. This end-to-end evaluation isolates a model's ability to complete the full build pipeline, providing a valuable tool for practitioners choosing models tailored to their specific workflows.
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