ARRM targets silent economic regressions in AI agents that functional tests miss
Beautiful_Belt_601 · reddit · 2026-09-11
A Reddit discussion of a real production-agent problem: after a model or prompt update, functional tests can all pass while the agent's economically important behavior regresses — discounting, pricing decisions, escalation patterns, conversion outcomes. The author built ARRM to compare agent behavior across releases and catch these regressions before production, and asks how teams handle it today: fixed evals, replay datasets, shadow runs, or custom metrics.
Related event: Agents Pass Tests but Drift Economically: A Production Monitoring Gap(2 posts)→
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