We present a formalized method for pre-domain validation of an LLM-based multi-agent runtime and assess its feasibility through experiments. In the model, an agent proposes an action, and a central controller validates it while maintaining state, the event source, and the journal. Nine adaptive engineering trials were conducted on the Dice Ritual testbed with five persistent players under 13- and 15-category rulesets. The primary endpoint is automatic completion of every round with correct original final scorecards, bonuses, totals, and ranking; automatic player and controller corrections are allowed. Seven attempts produced conditionally verified correct final results, one completed with an incorrect final result, and one stopped before completion. Review of the seven correct results covered 35 scorecards and 475 categories. In one such game, an unrepaired intermediate display error did not change the score of the action actually selected; in another game, a category error caused an unwarranted bonus and an incorrect final total. Original strict verdicts and separate post-game adjudications are retained. The results support the possibility of correct automatic execution under tested conditions, without guaranteeing success in every run. Numerical findings depend on explicit reconstruction assumptions; the exact content of some delivered packets is unavailable. K5 is an auxiliary representation of dice values whose causal benefit was not evaluated. Physical correctness and operational benefit for an actual power system remain outside this assessment.
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Лук’яненко et al. (2026) studied this question.
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