What Vague Instructions Cost an AI Agent: A Controlled Test of Deterministic Pre-Execution Clarity Screening
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Sixty agentic instructions with deposited intent were executed by a tool-enabled LLM agent and hand-scored against per-instruction checklists. Unscreened, the agent completed the depositor's intent in 25 % of runs — 100 % on determinate instructions, 0 % on underspecified ones: the agent executes a plausible reading, not the intended one. A deterministic pre-execution clarity screen (PREEXEC® engine build 5.9.1, no model call in the scoring path) held 8 of 60 instructions at its shipped default; every held instruction would otherwise have failed (gate precision 8/8) and none of the determinate instructions was held (0 false alarms), lifting completion to 38.3 %; a tighter candidate setting reaches 71.7 %. At constant total compute, a successfully completed task costs 35 % fewer tokens with the shipped screen (65 % at the tighter setting) — the same budget buys more finished work — measured at a median 49,000 tokens per agent run over 650 logged runs. The same 60 instructions were put to three alternative detectors, pre-registered before measurement. Two LLM classifiers reached 93–98 % recall but held 7 and 8 of the 15 determinate instructions as well, and changed 3 of 10 verdicts on repetition; a readability formula separated the strata in the wrong direction (AUC 0.341). None is usable as a gate. All raw judgements are published with this record. The corpus, per-instruction checklists, all agent responses, hand judgements and per-instruction screening verdicts are published alongside this record; every figure is recomputable from them. Score values, thresholds and the derivation of the clarity score are withheld as trade secrets and are not required for verification. The architecture of the software under test is specified in the companion Scientific Whitepaper v3.0 (concept DOI 10.5281/zenodo.18375998). Conflict of interest: the author is the developer and vendor of the screening software under test; the corpus, checklists and analysis paths were fixed in writing before execution, and all raw data are published. PREEXEC® is a registered EU trade mark (No. 019301368) of Clarity IP Holdings Limited.
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