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This paper from July 2026 defines principles for designing effective benchmark tasks for AI agents, drawing on experience from the Terminal Bench project. Good tasks are correct, solvable, verifiable, well-specified, and hard for interesting reasons, with an emphasis on real-world relevance and outcome-based verification.