AI RESEARCH
Prompt Complexity Dilutes Structured Reasoning: A Follow-Up Study on the Car Wash Problem
arXiv CS.AI
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ArXi:2603.13351v1 Announce Type: new In a previous study [Jo, 2026], STAR reasoning (Situation, Task, Action, Result) raised car wash problem accuracy from 0% to 85% on Claude Sonnet 4.5, and to 100% with additional prompt layers. This follow-up asks: does STAR maintain its effectiveness in a production system prompt? We tested STAR inside InterviewMate's 60+ line production prompt, which had evolved through iterative additions of style guidelines, format instructions, and profile