ARRM
Catch costly AI agent regressions before release
What it does
ARRM is a deterministic CI release gate for AI agents. It compares baseline and candidate releases, detects economically harmful regressions in measurable outcomes such as success, cost and latency, and returns a clear PASS, REVIEW or BLOCK decision before deployment. No LLM in the decision path.
ARRM is a deterministic economic release-gate for detecting material revenue regressions before an agentic or system release reaches production. Early Access by ZEODEC.
Detect material revenue regressions before an agentic or system release reaches production. ARRM is a deterministic economic release-gate. It compares caller-provided baseline and candidate measurements and applies explicit release-gate logic without placing an LLM in the decision path. Agentic and automated systems can change economic outcomes in ways that conventional functional checks may not expose clearly before release. Assess caller-provided baseline and candidate measurements across the economic metrics and scenarios that matter. Identify evidence of economically meaningful negative change rather than generic model quality drift. Return a deterministic PASS, WARN or FAIL result…from zeodec.com
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