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<title>AEC-Bench</title>
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<h1>AEC-Bench</h1>
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<a href="https://github.com/TheodoreGalanos/aec-bench" target="_blank" rel="noreferrer">AEC-Bench</a>
is an open benchmark and Python toolkit for evaluating agentic AI systems on realistic
Architecture, Engineering, and Construction tasks.
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The project combines generated engineering tasks, executable verifiers, model rollout ledgers,
and trace artifacts so evaluation can be inspected beyond a single leaderboard score: by task
family, difficulty, information visibility, tool use, cost, and failure mode.
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<a href="https://arxiv.org/abs/2603.29199" target="_blank" rel="noreferrer">Paper</a>
<a href="https://github.com/TheodoreGalanos/aec-bench" target="_blank" rel="noreferrer">Code</a>
<a href="https://huggingface.co/datasets/aec-bench/release-model-rollouts" target="_blank" rel="noreferrer">Release dataset</a>
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This organisation hosts datasets, rollout artifacts, and benchmark releases for the AEC-Bench project.
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