The author describes a rigorous, multi-stage process for evaluating new AI models before granting them production access. This system, developed after negative experiences with hyped but flawed releases, involves an "interview" phase with strict probes for format compliance, confabulation, and scope creep. Models that pass this initial gate then enter an "observation period" where their responses are logged without impacting the workflow. Only after successfully clearing these stages are models considered for limited, low-risk tasks, with full trust earned only after demonstrating consistent, reliable performance. AI
IMPACT Provides a practical framework for developers to critically assess and integrate new AI models, mitigating risks associated with hype and unreliability.
RANK_REASON The item is an opinion piece discussing a methodology for evaluating AI models, not a release or significant industry event.
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