MasterControl Seventeen Every Time

2026-09-02

AI Summary

研究通过语言模型解释问题，确定性策略选择并运行预批准分析程序的方法解决企业分析问题，使用关系操作等确保结果可重现。

Abstract

We study a governed approach to enterprise analytics: a language model interprets the question, while deterministic policy selects and runs a pre-approved analytical program that returns both results and evidence. We show that this restriction can remain expressive within a defined analytical class, using relational operations plus aggregation, comparison, windows, ranking, and similarity. Fixed meaning, policy, data, and execution rules also make results replayable. Across 440 runs, three 8B models generated SQL and selected tools at runtime, while Qwen3-8B interpreted intent only and policy executed the approved program. None of 330 runtime-planning episodes matched the full answer-and-evidence contract across all test datasets; the policy-executed analyzer matched 110 of 110. This is a configuration-specific result, not evidence that runtime agents cannot succeed under other designs.

Problem

• enterprise analytics
• deterministic policy
• replayable results
• analytical program
• language model

Innovation

• governed approach
• deterministic policy
• pre-approved analytical program
• replayable results
• configuration-specific result