# AskALCF

AskALCF, an agentic system for high-performance computing user support, attributes each failed question-answer turn to one of five components—knowledge, retrieval, prompt, model or tools—instead of returning only a quality score. Across 2,174 production support turns it cut unattributable failures from 41.4% to 14.2%, and on a 150-turn expert reference it raised agreement from 108 to 123 turns. The object of improvement is the rules, prompts and review policy rather than model weights, and experts retain authority over every production-facing change.

AskALCF, an agentic system for high-performance computing user support, attributes each failed question-answer turn to one of five components—knowledge, retrieval, prompt, model or tools—instead of returning only a quality score. Across 2,174 production support turns it cut unattributable failures from 41.4% to 14.2%, and on a 150-turn expert reference it raised agreement from 108 to 123 turns. The object of improvement is the rules, prompts and review policy rather than model weights, and experts retain authority over every production-facing change.