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ARRM

Catch costly AI agent regressions before release

ARRM serves as a critical release gate within continuous integration pipelines, specifically designed for agent-based systems. It rigorously compares economic outcomes between baseline and candidate releases to prevent financially detrimental regressions. Key features include: * Deterministic release gating * Comparison of baseline and candidate measurements * Detection of economically harmful regressions (success, cost, latency) * Clear PASS, REVIEW, or BLOCK deployment decisions * No generative content or large language models in the decision path This tool is engineered to identify subtle yet impactful shifts in economic behavior that conventional functional tests might miss. By focusing on measurable business outcomes like revenue, operational costs, and system latency, ARRM provides an objective, evidence-led assessment. It ensures that any new release candidate maintains or improves key performance indicators before deployment, safeguarding financial performance and user experience. ARRM is ideal for engineering teams, product managers, and release managers overseeing automated or agentic systems where economic performance is paramount. It integrates seamlessly into existing CI/CD workflows, providing a final, crucial check to mitigate risks and ensure that every release drives positive business value.
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